CN117250435A - Buffer layer fire hazard identification method and system for high-voltage cable - Google Patents
Buffer layer fire hazard identification method and system for high-voltage cable Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 231100001267 hazard identification Toxicity 0.000 title claims abstract description 31
- 239000007789 gas Substances 0.000 claims abstract description 108
- 238000001514 detection method Methods 0.000 claims abstract description 63
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims abstract description 55
- HSFWRNGVRCDJHI-UHFFFAOYSA-N alpha-acetylene Natural products C#C HSFWRNGVRCDJHI-UHFFFAOYSA-N 0.000 claims abstract description 27
- 125000002534 ethynyl group Chemical group [H]C#C* 0.000 claims abstract description 27
- 239000001257 hydrogen Substances 0.000 claims abstract description 26
- 229910052739 hydrogen Inorganic materials 0.000 claims abstract description 26
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims abstract description 25
- 238000005070 sampling Methods 0.000 claims abstract description 17
- 238000009434 installation Methods 0.000 claims abstract description 7
- 238000004590 computer program Methods 0.000 claims description 13
- 238000009413 insulation Methods 0.000 claims description 10
- 230000006870 function Effects 0.000 claims description 9
- 238000010801 machine learning Methods 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 8
- 229910052782 aluminium Inorganic materials 0.000 claims description 5
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 229920003020 cross-linked polyethylene Polymers 0.000 description 4
- 239000004703 cross-linked polyethylene Substances 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 3
- 229910052751 metal Inorganic materials 0.000 description 3
- 239000002184 metal Substances 0.000 description 3
- 239000004215 Carbon black (E152) Substances 0.000 description 2
- 238000002679 ablation Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 2
- 238000009529 body temperature measurement Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
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- 238000009826 distribution Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 229930195733 hydrocarbon Natural products 0.000 description 2
- 150000002430 hydrocarbons Chemical class 0.000 description 2
- 239000012774 insulation material Substances 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000013021 overheating Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
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- 230000007613 environmental effect Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 239000000945 filler Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 150000002431 hydrogen Chemical class 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/083—Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
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Abstract
The invention discloses a buffer layer fire hazard identification method and a buffer layer fire hazard identification system for a high-voltage cable, wherein the method comprises the steps of obtaining a buffer layer gas sample of the high-voltage cable from a reserved installation sampling port of the high-voltage cable; detecting the gas content of acetylene, hydrogen and methane in the buffer layer gas sample; according to the analysis of the gas contents of acetylene, hydrogen and methane, the following three characteristic indexes are calculated: the total gas content of the combustible gas, the total gas content increase rate of the combustible gas, and the content ratio between the content of acetylene, the total content of hydrogen and methane in the combustible gas, wherein the combustible gas comprises acetylene, hydrogen and methane; and obtaining corresponding fire hidden danger detection results according to the obtained three characteristic indexes. The invention aims to realize accurate online detection for the buffer layer of the high-voltage cable.
Description
Technical Field
The invention relates to the technical field of fire hazard identification of high-voltage cables, in particular to a buffer layer fire hazard identification method and system for a high-voltage cable.
Background
The crosslinked polyethylene (XLPE) cable has been widely used in the power system of our country due to the advantages of good mechanical properties, convenient installation and maintenance, excellent insulation properties, etc. In the beginning of this century, the number of XLPE cables used has increased dramatically, and the XLPE cable ratio has reached 95% or more in ac cabling of 220kV and below across the country. After analysis and summary of the causes of fire disaster in the power system for many years, it has been found that most of the fire disaster in the power system is caused by aging of the circuit due to heating of the cable during the high-voltage power supply process for a long time. In recent years, a new cable fault phenomenon, namely a cable buffer layer fault, occurs at home and abroad, and the fault position of the cable buffer layer fault is between a cable metal sheath and an insulating shielding layer. The metal shielding layer and the buffer layer are important components of the high-voltage cable, and whether the metal shielding layer and the buffer layer are matched with each other or not directly influence the electric, thermal and mechanical properties of the cable or not can be weak links for limiting the performance of the high-voltage cable on any aspect.
There are various causes of failure of the power cable buffer layer, and common causes include: (1) The insulating shielding layer is not effectively grounded, namely, the contact between the insulating shielding layer and the aluminum sheath is poor, and a certain potential difference exists in the radial direction, so that floating discharge is caused, and faults are generated. (2) environmental factors: temperature and humidity. The buffer layer may cause internal discharge behavior after being wetted. The cable is also damaged by severe local overheating caused by extrusion or distortion. (3) The buffer layer has larger resistivity, so that a large potential difference is generated between the insulating shielding layer and the aluminum sheath to generate gap breakdown. 4) Cable current overload: because the cable conductor has resistance, the heating value and the square of the current are in positive correlation, the overload state can cause the cable to overheat to cause the deterioration of the buffer layer material, and the fire is directly caused when the overload state is serious.
The conventional detection method for the power cable mainly comprises appearance inspection, infrared temperature measurement, insulation resistance test, impedance test, partial discharge detection method and the like. Wherein visual inspection is the most straightforward detection method, obvious physical damage, such as cracking or breakage of the shell, can be found; the infrared temperature measurement can intuitively find the hot spot position when the cable runs, and the aging degree of the internal materials cannot be fed back; insulation resistance test the insulation resistance value is tested to reflect the degradation degree of the insulation material by applying direct current voltage to two ends of the cable; the impedance test can judge the electrical performance of the cable by comparing the deviation degree of the test value and the normal value of the capacitance and inductance of the cable, and determine the severity degree of the cable fault according to the deviation degree; partial discharge detection partial discharge phenomena can be detected by a partial discharge detection device, a partial discharge signal has specific characteristics, such as pulse shape, phase and magnitude, and by analyzing these characteristics, insulation state information of the cable can be obtained to evaluate the health condition of the cable.
Studies have shown that when the insulation structure and the filler of the buffer layer in the cable deteriorate due to discharge or overheating, the material thereof is decomposed to generate a combustible gas, typically H 2 Methane and acetylene. In the conventional test method, the reason is often analyzed after the cable fails, or the fault diagnosis is performed by independently applying excitation when power failure works, and the real-time feedback of the degradation process of the cable cannot be realized. In fact, the deterioration of the insulating material is electrical before reaching the penetration phaseThe cable is still able to maintain critical operating conditions, where only appropriate external disturbances are required to cause significant cable failure. What is needed is a method for feeding back ablation faults of a buffer layer in a high-voltage cable in real time, and particularly early warning of fire hazards is performed in time.
Disclosure of Invention
The invention aims to solve the technical problems: aiming at the problems in the prior art, the invention provides a buffer layer fire hazard identification method and a buffer layer fire hazard identification system for a high-voltage cable, and aims to realize accurate online detection of the buffer layer of the high-voltage cable.
In order to solve the technical problems, the invention adopts the following technical scheme:
a buffer layer fire hazard identification method for a high-voltage cable comprises the following steps:
s101, acquiring a buffer layer gas sample of the high-voltage cable from a reserved installation sampling port of the high-voltage cable;
s102, detecting the gas content of acetylene, hydrogen and methane in a buffer layer gas sample;
s103, analyzing and calculating the following three characteristic indexes according to the gas contents of acetylene, hydrogen and methane: the total gas content of the combustible gas, the total gas content increase rate of the combustible gas, and the content ratio between the content of acetylene, the total content of hydrogen and methane in the combustible gas, wherein the combustible gas comprises acetylene, hydrogen and methane;
s104, obtaining a corresponding fire hidden danger detection result according to the obtained three characteristic indexes.
Optionally, the buffer gas sample in step S101 refers to gas in the buffer layer between the cable insulation layer of the high voltage cable and the outer aluminum sheath.
Optionally, in step S102, when the gas content of acetylene, hydrogen and methane is detected for the buffer layer gas sample, the apparatus used is a gas chromatograph or an electrochemical gas analyzer.
Optionally, the step S104 of obtaining the corresponding fire hazard detection result according to the obtained three feature indexes includes:
s201, acquiring each characteristic index to acquire corresponding fire hazard detection;
s202, weighting and summing fire hazard detection results of all the characteristic indexes to obtain an overall fire hazard detection result.
Optionally, when each feature index is obtained to obtain the corresponding fire hazard detection in step S201, the value of each feature index is compared with the value ranges of different fire hazard levels of the continuous distribution corresponding to the feature index, and the fire hazard level corresponding to the value of the feature index is determined according to the falling value ranges, so as to obtain the fire hazard detection corresponding to the fire hazard level.
Optionally, in step S202, the fire hazard detection results of all the feature indexes are weighted and summed to obtain a function expression of the overall fire hazard detection result, where the function expression is:
Q＝αX+βY+γZ，
in the above formula, Q is an overall fire hazard detection result, X, Y and Z are three feature indexes respectively to obtain corresponding fire hazard detection, and α, β and γ are weight coefficients.
Optionally, the constraint condition that the weight coefficient satisfies is:
optionally, the step S104 of obtaining the corresponding fire hazard detection result according to the obtained three feature indexes includes: the obtained three characteristic indexes are normalized and then input into a pre-trained machine learning model to obtain corresponding fire hidden danger detection results, and the machine learning model is pre-trained to establish mapping relations between the normalized results of the three characteristic indexes and the fire hidden danger detection results.
In addition, the invention also provides a buffer layer fire hazard identification system for the high-voltage cable, which comprises a microprocessor and a memory which are connected with each other, wherein the microprocessor is programmed or configured to execute the buffer layer fire hazard identification method for the high-voltage cable.
In addition, the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is used for being programmed or configured by a microprocessor to execute the buffer layer fire hazard identification method for the high-voltage cable.
Compared with the prior art, the invention has the following advantages: the method comprises the following three characteristic indexes according to analysis and calculation of the gas contents of acetylene, hydrogen and methane: the method comprises the steps of obtaining a corresponding fire hazard detection result according to three obtained characteristic indexes, and accordingly realizing accurate online detection on a buffer layer of a high-voltage cable.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the invention.
Detailed Description
Embodiment one:
as shown in fig. 1, the buffer layer fire hazard identification method for a high-voltage cable according to the embodiment includes:
s101, acquiring a buffer layer gas sample of the high-voltage cable from a reserved installation sampling port of the high-voltage cable;
s102, detecting the gas content of acetylene, hydrogen and methane in a buffer layer gas sample;
s103, analyzing and calculating the following three characteristic indexes according to the gas contents of acetylene, hydrogen and methane: the total gas content of the combustible gas, the total gas content increase rate of the combustible gas, and the content ratio between the content of acetylene, the total content of hydrogen and methane in the combustible gas, wherein the combustible gas comprises acetylene, hydrogen and methane;
s104, obtaining a corresponding fire hidden danger detection result according to the obtained three characteristic indexes.
The buffer layer gas sample in step S101 of the present embodiment refers to gas in the buffer layer between the cable insulation layer and the outer aluminum sheath of the high voltage cable. In step S101 of this embodiment, gas is collected from the gas collection port of the high-voltage cable, and the gas collection time is about 1min, and a periodic sampling method is adopted. And if a sampling port and an observation window are reserved in the high-voltage cable paved in the cable trench, acquiring a sample from the reserved position. For the high-voltage cable laid in the pipe gallery channel, the sample can be obtained directly from the position where the sampling port is reserved. Aiming at the fact that the gas production interval time of the cable is the same, the detection result and the cable operation condition are specifically determined, and if the difference between the two interval detection results is large, the detection force on sampling is required to be increased. In step S101 of this embodiment, gas is collected from the gas collection port of the high-voltage cable, and the gas collection time is about 1min, and a periodic sampling method is adopted. The configuration of the reserved installation sampling port only provides a sampling channel for the detection of the combustible gas possibly existing in the buffer layer in the sampling process, is a locking structure at ordinary times, and does not influence the insulation performance of the insulation material in the power cable. The reserved installation sampling port should guarantee sufficient tightness, and the waterproof capability of the high-voltage cable body cannot be affected.
And sending the obtained gas sample into a gas detection analysis device for testing through a gas extraction and pipeline connection device. In step S102 of the present embodiment, acetylene is detected on the buffer layer gas sample (C 2 H 2 ) Hydrogen (H) 2 ) And methane (CH) 4 ) The gas content of the gas meter is determined by using a gas chromatograph or an electrochemical gas analyzer or a device with similar functions, and the detection tool is not included in the present invention.
The gas content analysis of acetylene, hydrogen and methane calculates the total gas content of the combustible gas, the total gas content increase rate of the combustible gas and the content ratio of the total content of acetylene, hydrogen and methane in the combustible gas, which are three characteristic indexes, which are conventional data calculation methods, and can be calculated according to the literal meaning.
In step S104 of this embodiment, obtaining the corresponding fire hazard detection result according to the obtained three feature indexes includes:
s201, acquiring each characteristic index to acquire corresponding fire hazard detection;
s202, weighting and summing fire hazard detection results of all the characteristic indexes to obtain an overall fire hazard detection result.
In step S201 of this embodiment, when each feature index is obtained to obtain a corresponding fire hazard detection, the value of each feature index is compared with the value ranges of different fire hazard levels of the continuous distribution corresponding to the feature index, and the fire hazard level corresponding to the value of the feature index is determined according to the falling value ranges, so as to obtain the fire hazard detection corresponding to the fire hazard level. The range of values of the different fire hazard classes corresponding to the three feature indexes and continuously distributed needs a large amount of data to be accumulated and determined by combining field experience, and specifically, the range of values of the different fire hazard classes corresponding to the three feature indexes and continuously distributed in this embodiment is shown in tables 1 to 3.
Table 1: the value ranges of different fire hidden trouble grades of the total gas content of the combustible gas.
Table 2: the value ranges of different fire hidden trouble grades of the total gas content increasing rate of the combustible gas.
Table 3: the value ranges of different fire hidden trouble grades of the content ratio.
In tables 1 to 3, X 1 ～X 3 Respectively representing the grading early warning values of the total gas content of the combustible gas obtained by the test, wherein the values are accumulated according to the historyAnd the early warning values of the cables with different voltage levels are different from those of the cables with different voltage levels according to an empirical formula. Y is Y 1 ～Y 3 And respectively representing the grading early warning values of the total gas content increase rate of the combustible gas obtained by the test, wherein the grading early warning values are obtained according to historical accumulated data and an empirical formula, and the early warning values of cables with different voltage levels are different. Z is Z 1 ～Z 3 And the grading early warning values of the content ratio between the content of acetylene and the total content of hydrogen and methane in the combustible gas obtained by testing are respectively shown, the values of the grading early warning values are obtained according to historical accumulated data and an empirical formula, and the early warning values of cables with different voltage levels are different. It should be noted that the fire hazard score only provides three levels, and can be actually updated to a multi-level score standard in combination with the requirement of on-site operation, but more accurate values of intermediate nodes need to be determined. In this example, the total gas content of the combustible gas is denoted as X, the total gas content increase rate of the combustible gas is denoted as Y, and the content ratio between the total contents of acetylene, hydrogen and methane in the combustible gas is denoted as Z.
In step S202 of this embodiment, the function expression for obtaining the overall fire hazard detection result by weighting and summing the fire hazard detection results of all the feature indexes is:
Q＝αX+βY+γZ，
in the above formula, Q is an overall fire hazard detection result, X, Y and Z are three feature indexes respectively to obtain corresponding fire hazard detection, and α, β and γ are weight coefficients.
The constraint conditions for the weight coefficient to meet in this embodiment are:
as can be seen from a combination of tables 1 to 3, X, Y, Z may be an integer of 1 to 3, and thus 1.ltoreq.Q.ltoreq.3. In this embodiment, the total gas content of the combustible gas is denoted as X, the total gas content increase rate of the combustible gas is denoted as Y, the content ratio between the content of acetylene in the combustible gas and the total content of hydrogen and methane is denoted as Z, and based on the total gas content X of the combustible gas, the total gas content increase rate Y of the combustible gas, the content ratio Z between the content of acetylene in the combustible gas and the total content of hydrogen and methane can be calculated, and based on this, the fire hazard score, the fire hazard identification level, and the recommended measures can be determined, as shown in table 4.
Table 4: and obtaining a relation table of the overall fire hazard detection result.
In summary, the basic idea of the buffer layer fire hazard identification method for the high-voltage cable according to the embodiment is to set a cable fire hazard classification standard by detecting the types and the contents of hydrocarbon combustible gases in the buffer layer in the cable and combining the existing fault cases, and to judge the fire hazard level of the high-voltage cable by analyzing the on-site sampling gas and comparing with the standard, so as to provide a reference basis for overhauling and maintaining the high-voltage cable. According to the buffer layer fire hazard identification method for the high-voltage cable, according to the regular test gas sampling result, the problem of ablation of the buffer layer inside the high-voltage cable can be tracked in time, potential faults, particularly fire hazards, in the operation process can be found, and guidance comments are provided for follow-up maintenance work. The basic idea of the buffer layer fire hazard identification method for the high-voltage cable is to detect the types and the contents of hydrocarbon gases in the buffer layer in the cable, formulate a cable fire hazard classification standard in combination with the existing fault case, and judge the fire hazard class of the high-voltage cable by analyzing on-site sampling gases and comparing the on-site sampling gases with the standard.
In addition, the embodiment also provides a buffer layer fire hazard identification system for the high-voltage cable, which comprises a microprocessor and a memory which are connected with each other, wherein the microprocessor is programmed or configured to execute the buffer layer fire hazard identification method for the high-voltage cable. The present embodiment also provides a computer readable storage medium having a computer program stored therein for being programmed or configured by a microprocessor to perform the buffer layer fire hazard identification method for high voltage cables.
Embodiment two:
this embodiment is substantially the same as the first embodiment, and differs from the first embodiment mainly in that: the implementation of step S104 is different. In step S104 of this embodiment, obtaining the corresponding fire hazard detection result according to the obtained three feature indexes includes: the obtained three characteristic indexes are normalized and then input into a pre-trained machine learning model to obtain corresponding fire hidden danger detection results, and the machine learning model is pre-trained to establish mapping relations between the normalized results of the three characteristic indexes and the fire hidden danger detection results. The machine learning model may adopt a required model according to needs, for example, as an optional implementation manner, the machine learning model of this embodiment adopts a BP neural network with a three-layer structure, an input layer includes three neurons for inputting normalization results of three feature indexes, an output layer includes one neuron for outputting fire hazard detection results, an intermediate hidden layer is used for realizing full connection between the input layer and the output layer, and the weight parameters of the input layer, the hidden layer, and the connection edges between the hidden layer and the output layer can be trained by giving the tag of the fire hazard detection results, so as to finally establish mapping relations between the normalization results of the three feature indexes and the fire hazard detection results.
In addition, the embodiment also provides a buffer layer fire hazard identification system for the high-voltage cable, which comprises a microprocessor and a memory which are connected with each other, wherein the microprocessor is programmed or configured to execute the buffer layer fire hazard identification method for the high-voltage cable. The present embodiment also provides a computer readable storage medium having a computer program stored therein for being programmed or configured by a microprocessor to perform the buffer layer fire hazard identification method for high voltage cables.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (10)
1. The buffer layer fire hazard identification method for the high-voltage cable is characterized by comprising the following steps of:
s101, acquiring a buffer layer gas sample of the high-voltage cable from a reserved installation sampling port of the high-voltage cable;
s102, detecting the gas content of acetylene, hydrogen and methane in a buffer layer gas sample;
s103, analyzing and calculating the following three characteristic indexes according to the gas contents of acetylene, hydrogen and methane: the total gas content of the combustible gas, the total gas content increase rate of the combustible gas, and the content ratio between the content of acetylene, the total content of hydrogen and methane in the combustible gas, wherein the combustible gas comprises acetylene, hydrogen and methane;
s104, obtaining a corresponding fire hidden danger detection result according to the obtained three characteristic indexes.
2. The buffer layer fire hazard recognition method for a high voltage cable according to claim 1, wherein the buffer layer gas sample in step S101 refers to gas in a buffer layer between a cable insulation layer and an external aluminum sheath of the high voltage cable.
3. The buffer layer fire hazard recognition method for high voltage cables according to claim 1, wherein the equipment used in the detection of the gas content of acetylene, hydrogen and methane for the buffer layer gas sample in step S102 is a gas chromatograph or an electrochemical gas analyzer.
4. The buffer layer fire hazard identification method for high voltage cables according to claim 1, wherein the step S104 of obtaining the corresponding fire hazard detection result according to the obtained three feature indexes comprises:
s201, acquiring each characteristic index to acquire corresponding fire hazard detection;
s202, weighting and summing fire hazard detection results of all the characteristic indexes to obtain an overall fire hazard detection result.
5. The method for identifying fire hazard in buffer layer for high voltage cable according to claim 4, wherein when each feature index is obtained in step S201 to obtain corresponding fire hazard detection, the value of each feature index is compared with the value ranges of different fire hazard levels corresponding to the feature index and distributed continuously, and the fire hazard level corresponding to the value of the feature index is determined according to the falling value ranges, so as to obtain the fire hazard detection corresponding to the fire hazard level.
6. The buffer layer fire hazard identification method for high voltage cables according to claim 4, wherein in step S202, the fire hazard detection results of all the characteristic indexes are weighted and summed to obtain a function expression of the overall fire hazard detection result, which is:
Q＝αX+βY+γZ，
in the above formula, Q is an overall fire hazard detection result, X, Y and Z are three feature indexes respectively to obtain corresponding fire hazard detection, and α, β and γ are weight coefficients.
7. The buffer layer fire hazard identification method for high voltage cables according to claim 4, wherein the constraint condition satisfied by the weight coefficient is:
8. the buffer layer fire hazard identification method for high voltage cables according to claim 1, wherein the step S104 of obtaining the corresponding fire hazard detection result according to the obtained three feature indexes comprises: the obtained three characteristic indexes are normalized and then input into a pre-trained machine learning model to obtain corresponding fire hidden danger detection results, and the machine learning model is pre-trained to establish mapping relations between the normalized results of the three characteristic indexes and the fire hidden danger detection results.
9. A buffer layer fire hazard identification system for a high voltage cable comprising a microprocessor and a memory interconnected, wherein the microprocessor is programmed or configured to perform the buffer layer fire hazard identification method for a high voltage cable of any one of claims 1 to 8.
10. A computer readable storage medium having a computer program stored therein, wherein the computer program is for being programmed or configured by a microprocessor to perform the buffer layer fire hazard identification method for a high voltage cable according to any one of claims 1 to 8.
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| CN202311153659.6A CN117250435A (en) | 2023-09-07 | 2023-09-07 | Buffer layer fire hazard identification method and system for high-voltage cable |
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| CN202311153659.6A CN117250435A (en) | 2023-09-07 | 2023-09-07 | Buffer layer fire hazard identification method and system for high-voltage cable |
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