CN116026890A - Power cable thermal fault detection method based on thermal infrared image - Google Patents
Power cable thermal fault detection method based on thermal infrared image Download PDFInfo
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Abstract
The invention relates to the technical field of power cable thermal fault detection, in particular to a power cable thermal fault detection method based on a thermal infrared image, which comprises a thermal infrared image acquisition module, a thermal infrared image conversion module, a thermal fault analysis module, a thermal fault marking module, an early warning module and an adjusting module.
Description
Technical Field
The invention relates to the technical field of power cable thermal fault detection, in particular to a power cable thermal fault detection method based on thermal infrared images.
Background
During operation of the power plant, a wide variety of faults inevitably occur, with thermal faults being one of the most common types of faults. Once the thermal fault point in the equipment cannot be timely detected, the local temperature is abnormally increased, tripping and power failure of the equipment are easily caused, and a great challenge is brought to safe and stable operation of the power equipment. The thermal infrared imaging technology has the advantages of rapidness, real time, non-contact performance and the like, and the thermal infrared imaging technology is used for acquiring temperature data of power cable equipment in an operating state, so that most thermal fault points can be found and diagnosed in time, and the frequency of equipment damage and large-area power failure accidents of a power grid caused by the equipment damage can be effectively reduced.
Usually, equipment operators manually analyze and diagnose images by means of thermal infrared analysis software according to self experience knowledge, and huge manpower is required because the number of the acquired images is numerous and comprehensive judgment is required based on historical temperature data. Therefore, the realization of the automatic analysis of the thermal infrared images and the intellectualization of equipment fault diagnosis is becoming a trend of power cable operation management.
Chinese patent publication No. CN111553910a discloses a method for detecting thermal faults of electrical equipment of a large-scale experimental apparatus based on infrared images, which uses an image acquisition device to acquire infrared images of electrical equipment, and performs segmentation and identification on the infrared images through a full convolution network to determine the category and corresponding temperature of each electrical equipment in the infrared images; and comparing the temperature threshold value corresponding to each appliance type with the temperature of the corresponding type of appliances in the infrared image identified by the full convolution network, so as to determine whether the temperature of the tested appliance equipment is abnormal. The invention provides a method capable of monitoring the temperature of electrical equipment in real time and carrying out thermal fault detection, which ensures the accuracy of image segmentation and identification, but still has the problem of low overall detection and fault early warning precision in the detection process.
Disclosure of Invention
Therefore, the invention provides a thermal infrared image-based power cable thermal fault detection method, which is used for solving the problems of low overall detection and fault early warning precision in the detection process of the thermal infrared image-based thermal fault detection method in the prior art.
In order to achieve the above object, the present invention provides a method for detecting a thermal fault of a power cable based on a thermal infrared image, comprising:
s1, a thermal infrared image acquisition module acquires a thermal infrared image of a power cable detection position;
s2, converting gray level or pseudo color of the thermal infrared image into corresponding temperature data by a thermal infrared image conversion module;
s3, comparing the temperature data of the power cable detection position with a standard temperature by the thermal fault analysis module;
s4, a thermal fault marking module marks the detection positions with the temperature data of the power cable detection positions continuously rising and being larger than the standard temperature as fault positions with thermal faults, and counts the number of the fault positions;
and S5, judging whether early warning is needed according to the number of the fault positions by the early warning module, determining an early warning value according to the average temperature of a plurality of fault positions when early warning is needed, and adjusting the number of the detection positions by the adjusting module according to the average temperature when the power cable is preliminarily judged not to need early warning.
Further, in the step S1, the thermal fault analysis module sets the number of initial detection positions of the power cable as S, and sets the number of times of acquisition of the thermal infrared images of the single detection position within a preset acquisition time period t as M.
Further, in the step S4, when the thermal fault marking module marks the fault location where the thermal fault exists in the power cable and counts the number of fault locations where the thermal fault exists in the power cable, the thermal fault analysis module compares the temperature of the M Zhang Regong external image acquired by the single initial detection location within the preset acquisition time period t with the standard temperature, and the thermal fault marking module determines, according to the comparison result, that the temperature continuously rises with the acquisition times and that the temperature of the thermal infrared image is greater than the detection location of the standard temperature at the nth time, marks the detection location as the fault location where the thermal fault exists, and counts the first number Sa of the fault locations, where N is less than M.
Further, in the step S5, when the early warning module judges whether early warning is required according to the number of the fault positions, the thermal fault analysis module calculates a number ratio B of the first number Sa of the fault positions to the number S of the initial detection positions, sets b=sa/S, and the early warning module determines whether early warning is required for the power cable according to a comparison result of the number ratio B and a preset number ratio B0,
if B is less than or equal to B0, the early warning module preliminarily determines that the power cable does not need to be subjected to early warning;
if B is larger than B0, the early warning module determines that the power cable needs early warning.
Further, when the early warning module preliminarily determines that the power cable does not need to be early warned and B > B0, the thermal fault analysis module calculates an average temperature P of a plurality of fault positions where faults exist in the power cable, the adjustment module adjusts the number of detection positions of the power cable according to the average temperature P, the adjustment module sets the number of the adjusted detection positions as Su, and su=s×ui is set as an adjustment coefficient, and i=1, 2,3.
Further, when the early warning module determines that the power cable needs to be early warned, the early warning module determines an early warning value of the power cable according to a comparison result of the average temperature P and a preset average temperature,
wherein the early warning module is provided with a first preset average temperature P1, a second preset average temperature P2, a first early warning value W1, a second early warning value W2 and a third early warning value W3, P1 is smaller than P2, W1 is smaller than W2 and smaller than W3,
when P is less than or equal to P1, the early warning module sets the early warning value of the power cable to W1;
when P1 is more than P and less than or equal to P2, the early warning module sets the early warning value of the power cable to W2;
and when P is more than P2, the early warning module sets the early warning value of the power cable to W3.
Further, when the adjustment module adjusts the number of the detection positions to Su, the thermal fault analysis module counts a second number Sb of fault positions where thermal faults exist in the adjusted detection positions, calculates a number difference Δs between the second number Sb and the first number Sa, sets Δs=sb-Sa, and the early warning module determines whether the power cable needs early warning according to a comparison result of the number difference Δs and a preset number difference Δs0,
if the delta S is less than or equal to delta S0, the early warning module determines that the power cable does not need to be subjected to early warning;
if DeltaS > DeltaS0, the early warning module determines that the power cable needs early warning.
Further, when the fault analysis module determines that the power cable needs to be pre-warned and Δs > Δs0, the pre-warning module sets a pre-warning value of the power cable to Wj, sets j=1, 2,3, calculates a ratio Bs of a difference value of the number difference Δs and a preset number difference Δs0, sets bs= Δs/Δs0, and adjusts the pre-warning value Wj of the power cable according to the ratio Bs of the difference value, and the adjusting module sets the pre-warning value of the adjusted power cable to Wk, sets wk=wj×kz, kz as an adjustment coefficient, and z=1, 2,3.
Further, when the early warning module completes the setting of the early warning value, the thermal fault analysis module obtains the environmental temperature T of the environment where the power cable is located, determines whether the setting of the early warning value is proper according to the comparison result of the environmental temperature T and the average temperature P,
if T is less than or equal to P, the thermal fault analysis module judges that the early warning value is properly set;
if T is more than P, the thermal fault analysis module judges that the early warning value is not properly set.
Further, when the thermal fault analysis module determines that the setting of the early warning value is inappropriate, the thermal fault analysis module calculates a temperature difference Δt between the ambient temperature T and the average temperature P, sets Δt=t-P, the adjustment module corrects the early warning value according to the temperature difference Δt, and the adjustment module sets the corrected early warning value as Wr, sets wr=wj×rf or wr=wk×rf, rf as a correction coefficient, and f=1, 2,3.
Compared with the prior art, the method has the beneficial effects that the thermal fault of the power cable in the operation process is determined by carrying out thermal infrared image detection on the power cable, whether the early warning is needed or not is determined by analyzing the number of fault positions in the power cable, the early warning value is determined according to the temperature of the fault positions when the early warning is needed, the degree of automation is high, detection, adjustment and early warning are integrated, more specific and fine thermal fault information is provided for technicians, the detection and fault early warning precision of a thermal fault detection method is improved, the adjustment mechanism of the thermal fault detection method is increased, and the thermal fault detection efficiency is improved.
Further, when the detection position with the thermal fault is determined in the operation process of the power cable through the thermal fault marking module, the preset collection time length is set, so that the temperature change of the power cable in the operation process is collected in the preset collection time length, the temperature change of the single detection position is determined by comparing the temperature obtained after the conversion of a plurality of thermal infrared images with the standard temperature based on the single detection position, and the corresponding detection position is determined as the fault position when the temperature continuously rises along with the collection times and the temperature collected in the continuous rising process exceeds the standard temperature, so that the fault position with the thermal fault is accurately determined, the detection precision of the thermal fault detection method is further improved, and the thermal fault detection efficiency is further improved.
Further, the thermal fault analysis module is provided with a plurality of initial detection positions of the power cable, and the acquisition times of the thermal infrared images of the single detection position in the preset acquisition time period are set, when the early warning module judges whether early warning is needed according to the number of the fault positions, the thermal fault analysis module calculates the number ratio of the first number of the fault positions to the number of the initial detection positions, and the early warning module determines whether the power cable needs early warning according to the comparison result of the number ratio and the preset number ratio, so that the fault early warning precision of the thermal fault detection method is further improved, and the thermal fault detection efficiency is further improved.
Further, when the early warning module preliminarily determines that the power cable does not need to be early warned and the number ratio is smaller than the preset number ratio, the thermal fault analysis module calculates average temperatures of a plurality of fault positions where faults exist in the power cable, and the adjusting module adjusts the number of detection positions of the power cable according to the average temperatures, so that an adjusting mechanism of a thermal fault detection method is further increased, and further the thermal fault detection efficiency is improved.
Further, when the early warning module determines that the power cable needs to be early warned, the early warning module determines an early warning value of the power cable according to a comparison result of the average temperature and the preset average temperature, and fault early warning precision of the thermal fault detection method is further improved, so that thermal fault detection efficiency is further improved.
Further, after the adjusting module adjusts the number of the detection positions, the thermal fault analysis module counts the second number of the fault positions with thermal faults in the adjusted detection positions, calculates a number difference value between the second number and the first number, and the early warning module determines whether the power cable needs early warning according to a comparison result of the number difference value and a preset number difference value, so that the fault early warning precision of the thermal fault detection method is further improved, and the thermal fault detection efficiency is further improved.
Further, when the fault analysis module determines that the power cable needs to be pre-warned and the number difference is larger than the preset number difference, the pre-warning module sets the pre-warning value of the power cable to be the pre-warning value of the power cable according to the comparison result of the average temperature and the preset average temperature, the fault analysis module calculates the ratio of the number difference to the preset number difference, and adjusts the pre-warning value of the power cable according to the ratio of the difference, so that an adjusting mechanism of the thermal fault detection method is further increased, and the thermal fault detection efficiency is further improved.
Further, when the early warning module finishes setting the early warning value, the thermal fault analysis module acquires the environmental temperature of the environment where the power cable is located, and judges whether the early warning value is properly set according to the comparison result of the environmental temperature and the average temperature, so that the fault early warning precision of the thermal fault detection method is further improved, and the thermal fault detection efficiency is further improved.
Further, when the thermal fault analysis module determines that the setting of the early warning value is inappropriate, the thermal fault analysis module calculates a temperature difference value between the ambient temperature and the average temperature, and the adjustment module corrects the early warning value according to the temperature difference value, so that an adjustment mechanism of the thermal fault detection method is further increased, and the thermal fault detection efficiency is further improved.
Drawings
Fig. 1 is a flow chart of a thermal infrared image-based power cable thermal fault detection method according to an embodiment of the invention.
Fig. 2 is a structural relationship diagram of a thermal infrared image-based power cable thermal fault detection method according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 and 2, fig. 1 is a flow chart of a thermal infrared image-based power cable thermal fault detection method according to an embodiment of the invention, and fig. 2 is a structural relationship diagram of the thermal infrared image-based power cable thermal fault detection method according to an embodiment of the invention.
The power cable thermal fault detection method based on the thermal infrared image comprises the following steps:
s1, a thermal infrared image acquisition module acquires a thermal infrared image of a power cable detection position;
s2, converting gray level or pseudo color of the thermal infrared image into corresponding temperature data by the thermal infrared image conversion module;
s3, comparing the temperature data of the power cable detection position with a standard temperature by the thermal fault analysis module;
s4, the thermal fault marking module marks the detection positions with the temperature data of the detection positions of the power cable continuously rising and being larger than the standard temperature as fault positions with thermal faults and counts the number of the fault positions;
and S5, judging whether early warning is needed by the early warning module according to the number of the fault positions, determining an early warning value according to the average temperature of a plurality of fault positions when early warning is needed, and adjusting the number of the detection positions by the adjusting module according to the average temperature when the power cable is preliminarily judged not to need early warning.
In the power cable thermal fault detection method based on the thermal infrared image, in step S1, a thermal fault analysis module sets the number of initial detection positions of a power cable as S, and sets the acquisition times of the thermal infrared image of a single detection position within a preset acquisition time period t as M.
In the power cable thermal fault detection method based on the thermal infrared image, in the step S4, when the thermal fault marking module marks the fault positions of the power cable with thermal faults and counts the number of the fault positions of the power cable with thermal faults, the thermal fault analysis module compares the temperature of the M Zhang Regong external image acquired by a single initial detection position within the preset acquisition time period t with the standard temperature, the thermal fault marking module determines the detection position that the temperature continuously rises along with the acquisition times and the temperature of the thermal infrared image is larger than the standard temperature in the N time according to the comparison result, marks the detection position as the fault position with the thermal faults, and counts the first number Sa of the fault positions, wherein N is smaller than M.
In step S5, when the early warning module judges whether early warning is needed according to the number of fault positions, the thermal fault analysis module calculates the number ratio B of the first number Sa of the fault positions to the number S of the initial detection positions, sets b=sa/S, and the early warning module determines whether the early warning is needed for the power cable according to the comparison result of the number ratio B and the preset number ratio B0,
if B is less than or equal to B0, the early warning module preliminarily determines that the power cable does not need to be early warned;
if B is larger than B0, the early warning module determines that the power cable needs early warning.
The embodiment of the invention provides a power cable thermal fault detection method based on thermal infrared images, when an early warning module preliminarily determines that the power cable does not need to be early warned and B is more than B0, a thermal fault analysis module calculates the average temperature P of a plurality of fault positions with faults in the power cable, an adjusting module adjusts the number of the detection positions of the power cable according to the comparison result of the average temperature P and a preset average temperature,
wherein the regulating module is provided with a first preset average temperature P1, a second preset average temperature P2, a first quantity regulating coefficient U1, a second quantity regulating coefficient U2 and a third quantity regulating coefficient U3, P1 is smaller than P2, U1 is smaller than U2 and U3 is smaller than 1.5,
when P is less than or equal to P1, the adjusting module selects a first quantity adjusting coefficient U1 to adjust the quantity of the detection positions;
when P1 is more than P and less than or equal to P2, the adjusting module selects a second quantity adjusting coefficient U2 to adjust the quantity of the detection positions;
when P is more than P2, the adjusting module selects a third quantity adjusting coefficient U3 to adjust the quantity of the detection positions;
when the adjustment module selects the ith quantity adjustment coefficient Ui to adjust the quantity of the detection positions, setting i=1, 2 and 3, setting the quantity of the adjusted detection positions as Su by the adjustment module, and setting su=s×ui.
The embodiment of the invention relates to a power cable thermal fault detection method based on thermal infrared images, when an early warning module determines that the power cable needs to be early warned, the early warning module determines an early warning value of the power cable according to the comparison result of the average temperature P and the preset average temperature,
wherein, the early warning module is provided with a first early warning value W1, a second early warning value W2 and a third early warning value W3, W1 is more than W2 and less than W3,
when P is less than or equal to P1, the early warning module sets the early warning value of the power cable to W1;
when P1 is more than P and less than or equal to P2, the early warning module sets the early warning value of the power cable to W2;
when P > P2, the early warning module sets the early warning value of the power cable to W3.
In the power cable thermal fault detection method based on the thermal infrared image, when the regulating module regulates the number of the detection positions to Su, the thermal fault analysis module counts the second number Sb of the fault positions with thermal faults in the regulated detection positions, calculates the number difference delta S between the second number Sb and the first number Sa, sets delta S=Sb-Sa, and the early warning module determines whether the power cable needs early warning according to the comparison result of the number difference delta S and the preset number difference delta S0,
if the delta S is less than or equal to delta S0, the early warning module determines that the power cable does not need to be subjected to early warning;
if DeltaS > DeltaS0, the early warning module determines that the power cable needs to be early warned.
When the fault analysis module determines that the power cable needs to be pre-warned and delta S > [ delta ] S0, the pre-warning module sets the pre-warning value of the power cable as Wj, sets j=1, 2,3, calculates the difference ratio Bs of the quantity difference value [ delta ] S and the preset quantity difference value [ delta ] S0, sets Bs= [ delta ] S/[ delta ] S0, and adjusts the pre-warning value Wj of the power cable according to the comparison result of the difference ratio Bs and the preset difference value,
wherein the adjusting module is provided with a first preset difference ratio B1, a second preset difference ratio B2, a first early warning value adjusting coefficient K1, a second early warning value adjusting coefficient K2 and a third early warning value adjusting coefficient K3, B1 is smaller than B2, K1 is smaller than K2 and K3 is smaller than 2,
when Bs is less than or equal to B1, the adjusting module selects a first early warning value adjusting coefficient K1 to adjust the early warning value Wj of the power cable;
when B1 is more than Bs and less than or equal to B2, the adjusting module selects a second early warning value adjusting coefficient K2 to adjust the early warning value Wj of the power cable;
when Bs is greater than B2, the adjusting module selects a third early warning value adjusting coefficient K3 to adjust the early warning value Wj of the power cable;
when the adjusting module selects the z-th early warning value adjusting coefficient Kz to adjust the early warning value Wj of the power cable, z=1, 2 and 3 are set, and the adjusting module sets the adjusted early warning value of the power cable as Wk, and Wk=Wj×Kz is set.
In the power cable thermal fault detection method based on the thermal infrared image, when the early warning module finishes setting the early warning value, the thermal fault analysis module obtains the environmental temperature T of the environment where the power cable is positioned, judges whether the early warning value is properly set according to the comparison result of the environmental temperature T and the average temperature P,
if T is less than or equal to P, the thermal fault analysis module judges that the early warning value is properly set;
if T is more than P, the thermal fault analysis module judges that the setting of the early warning value is unsuitable;
the embodiment of the invention judges whether the early warning value is properly set or not through the comparison result of the ambient temperature T and the average temperature P, and aims to eliminate the influence on the self temperature rise when the external temperature of the power cable is too high.
In the power cable thermal fault detection method based on the thermal infrared image, when the thermal fault analysis module judges that the setting of the early warning value is improper, the thermal fault analysis module calculates the temperature difference delta T between the ambient temperature T and the average temperature P, sets delta T=T-P, and the adjustment module selects the corresponding correction coefficient to correct the early warning value according to the comparison result of the temperature difference delta T and the preset temperature difference,
wherein the regulating module is provided with a first preset temperature difference DeltaT 1, a second preset temperature difference DeltaT 2, a first correction coefficient R1, a second correction coefficient R2 and a third correction coefficient R3, deltaT 1 < DeltaT2, R3 < R2 < R1 < 1 is set to be more than 0.5,
when the delta T is less than or equal to delta T1, the adjusting module selects a first correction coefficient R1 to correct the early warning value;
when DeltaT 1 < DeltaT2 is less than or equal to DeltaT 2, the adjusting module selects a second correction coefficient R2 to correct the early warning value;
when DeltaT > DeltaT2, the adjusting module selects a third correction coefficient R3 to correct the early warning value;
when the adjustment module selects the f correction coefficient Rf to correct the early warning value, f=1, 2,3 is set, the adjustment module sets the corrected early warning value as Wr, and wr=wj×rf or wr=wk×rf is set.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The power cable thermal fault detection method based on the thermal infrared image is characterized by comprising the following steps of:
s1, a thermal infrared image acquisition module acquires a thermal infrared image of a power cable detection position;
s2, converting gray level or pseudo color of the thermal infrared image into corresponding temperature data by a thermal infrared image conversion module;
s3, comparing the temperature data of the power cable detection position with a standard temperature by the thermal fault analysis module;
s4, a thermal fault marking module marks the detection positions with the temperature data of the power cable detection positions continuously rising and being larger than the standard temperature as fault positions with thermal faults, and counts the number of the fault positions;
and S5, judging whether early warning is needed according to the number of the fault positions by the early warning module, determining an early warning value according to the average temperature of a plurality of fault positions when early warning is needed, and adjusting the number of the detection positions by the adjusting module according to the average temperature when the power cable is preliminarily judged not to need early warning.
2. The thermal infrared image-based power cable thermal fault detection method according to claim 1, wherein in the step S1, the thermal fault analysis module sets the number of initial detection positions of the power cable to S, and sets the number of times of acquisition of thermal infrared images of a single detection position within a preset acquisition period t to M.
3. The thermal infrared image-based power cable thermal fault detection method according to claim 2, wherein in the step S4, when a thermal fault marking module marks a fault location where a thermal fault exists in the power cable and counts the number of fault locations where a thermal fault exists in the power cable, the thermal fault analysis module compares the temperature of an M Zhang Regong external image acquired by a single initial detection location within a preset acquisition period t with a standard temperature, the thermal fault marking module determines a detection location where the temperature continuously increases with the number of acquisitions and the temperature of the thermal infrared image is greater than the standard temperature at the nth time according to the comparison result, marks the detection location as a fault location where a thermal fault exists, and counts the first number Sa of the fault locations, where N < M.
4. The thermal infrared image-based power cable thermal fault detection method according to claim 3, wherein in the step S5, when the early warning module judges whether early warning is required according to the number of the fault positions, the thermal fault analysis module calculates a number ratio B of the first number Sa of the fault positions to the number S of the initial detection positions, sets b=sa/S, the early warning module determines whether early warning is required for the power cable according to a comparison result of the number ratio B and a preset number ratio B0,
if B is less than or equal to B0, the early warning module preliminarily determines that the power cable does not need to be subjected to early warning;
if B is larger than B0, the early warning module determines that the power cable needs early warning.
5. The thermal infrared image-based power cable thermal fault detection method according to claim 4, wherein when the early warning module preliminarily determines that the power cable does not need to be early warned and B > B0, the thermal fault analysis module calculates an average temperature P of a plurality of fault positions where faults exist in the power cable, the adjustment module adjusts the number of detection positions of the power cable according to the average temperature P, the adjustment module sets the number of the adjusted detection positions as Su, and sets su=s×ui as an adjustment coefficient, i=1, 2,3.
6. The method for detecting thermal faults of a power cable based on thermal infrared images according to claim 5, wherein when the early warning module determines that the power cable needs to be early warned, the early warning module determines an early warning value of the power cable according to a comparison result of the average temperature P and a preset average temperature,
wherein the early warning module is provided with a first preset average temperature P1, a second preset average temperature P2, a first early warning value W1, a second early warning value W2 and a third early warning value W3, P1 is smaller than P2, W1 is smaller than W2 and smaller than W3,
when P is less than or equal to P1, the early warning module sets the early warning value of the power cable to W1;
when P1 is more than P and less than or equal to P2, the early warning module sets the early warning value of the power cable to W2;
and when P is more than P2, the early warning module sets the early warning value of the power cable to W3.
7. The thermal infrared image-based power cable thermal fault detection method as claimed in claim 6, wherein when the adjustment module adjusts the number of detection positions to Su, the thermal fault analysis module counts a second number Sb of fault positions where thermal faults exist in the adjusted detection positions, calculates a number difference Δs between the second number Sb and the first number Sa, sets Δs=sb-Sa, the early warning module determines whether the power cable needs early warning according to a comparison result of the number difference Δs and a preset number difference Δs0,
if the delta S is less than or equal to delta S0, the early warning module determines that the power cable does not need to be subjected to early warning;
if DeltaS > DeltaS0, the early warning module determines that the power cable needs early warning.
8. The thermal infrared image-based power cable thermal fault detection method according to claim 7, wherein when the fault analysis module determines that the power cable needs to be pre-warned and Δs > - Δs0, the pre-warning module sets a pre-warning value of the power cable to Wj, sets j=1, 2,3, the fault analysis module calculates a ratio Bs of a difference value of the number difference Δs to a preset number difference Δs0, sets bs= Δs/Δs0, and adjusts the pre-warning value Wj of the power cable according to the ratio Bs of the difference value, the adjustment module sets the pre-warning value of the adjusted power cable to Wk, sets wk=wj×kz, kz as an adjustment coefficient, and z=1, 2,3.
9. The thermal infrared image-based power cable thermal fault detection method according to claim 8, wherein when the early warning module completes the setting of the early warning value, the thermal fault analysis module obtains an ambient temperature T of an environment in which the power cable is located, determines whether the setting of the early warning value is appropriate according to a comparison result of the ambient temperature T and the average temperature P,
if T is less than or equal to P, the thermal fault analysis module judges that the early warning value is properly set;
if T is more than P, the thermal fault analysis module judges that the early warning value is not properly set.
10. The thermal infrared image-based power cable thermal fault detection method according to claim 9, wherein when the thermal fault analysis module determines that the setting of the early warning value is inappropriate, the thermal fault analysis module calculates a temperature difference Δt between the ambient temperature T and an average temperature P, sets Δt=t-P, the adjustment module corrects the early warning value according to the temperature difference Δt, and the adjustment module sets the corrected early warning value as Wr, sets wr=wj×rf or wr=wk×rf, rf as a correction coefficient, and f=1, 2,3.
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