CN-121971819-A - Power distribution pipe rack and cabinet passive self-inductance active fireproof detection method and system based on perfluoro-hexanone microencapsulation

CN121971819ACN 121971819 ACN121971819 ACN 121971819ACN-121971819-A

Abstract

The invention discloses a perfluorinated hexanone microcapsule-based passive self-inductance active fireproof detection method and system for a distribution pipe rack and a cabinet, which belong to the technical field of electric fireproof detection and comprise the steps of collecting three-phase current harmonic waves, converting the three-phase current harmonic waves into magnetic field intensity, establishing a multi-mode resonance model, identifying the integral breathing mode frequency, the interlayer dislocation mode frequency and the liquid nuclear shaking mode frequency, and comprehensively outputting a structural state label; the method comprises the steps of pre-judging the natural cracking type of each position point according to a structural state label, constructing a cascading process of iterative simulation heat conduction and node cracking of a graph structural model, outputting a cracking space-time sequence, analyzing a space expansion mode and a natural cracking type time evolution trend based on the cracking space-time sequence, determining a coping strategy and an early warning level, extracting fault positions, phases and early warning moments, and comprehensively judging cracking and successfully extinguishing fire by comparing with a judging standard. According to the invention, the microcapsule structure state fine judgment, the cascade fracture space-time prediction and the grading early warning closed-loop verification are realized through passive self-induction detection.

Inventors

MIAO YU
TIAN FEI
Nie Yuanjie
XU YUTAO
CHEN YU
CAI YONGXIANG
LI YUE
WANG YANG
WU PENG
XIONG NAN
DOU CHEN
YAN JIANGFENG
CHEN CHEN
HU RONG
LIU TIANYU
ZHANG WANCHENG
GONG JUNYUAN
ZHANG HENGRONG
LIU ANJIANG
ZHENG YOUZHUO
HAO SHUQING
WANG YUYI
CHEN HANG

Assignees

贵州电网有限责任公司

Dates

Publication Date: 20260505
Application Date: 20251210

Claims (10)

1. The passive self-inductance active fireproof detection method for the distribution pipe rack and the cabinet based on the perfluoro-hexanone microencapsulation is characterized by comprising the following steps of, Collecting three-phase current harmonic waves, converting the three-phase current harmonic waves into magnetic field intensity, establishing a multi-mode resonance model, identifying overall respiratory mode frequency, interlayer dislocation mode frequency and liquid core shaking mode frequency, calculating frequency intervals between the interlayer dislocation mode frequency and the overall respiratory mode frequency, judging interlayer states according to the frequency intervals, judging liquid core states according to liquid core shaking mode response amplitude values, and comprehensively outputting structural state labels; determining a natural fracture criterion according to the structural state label, determining the natural fracture criterion according to the structural state label, and pre-judging the natural fracture type of each position point without external stress interference according to the relative distance between each modal frequency and the corresponding critical frequency; Setting position points along a cable, taking the structural state labels and the natural fracture types of the position points as node attributes, taking the space distance between the nodes as edge attributes, constructing a graph structural model to establish a heat conduction relationship between the nodes, iteratively simulating a cascading process of heat conduction and node fracture, and outputting a fracture space-time sequence, wherein the fracture space-time sequence records the fracture moment, the position and the natural fracture types of the nodes; Based on the time evolution trend of the space expansion mode and the natural fracture type, determining a coping strategy and an early warning level according to the time evolution trend of the fracture space-time sequence, extracting the earliest node output time as the early warning time, the phase as the fault phase and the position as the fault position, and outputting the coping strategy and the early warning level; And after the early warning time, determining a retest object and a judging standard according to the coping strategy, adjusting the strict degree of the judging standard according to the early warning grade, acquiring a retest object measured value in the fault position adjacent area aiming at the fault phase, and comprehensively judging that the fire is broken and the fire is successfully extinguished based on the comparison of the measured value and the judging standard.
2. The method for passive self-inductance active fire prevention detection of a power distribution pipe rack and a cabinet based on perfluorinated hexanone microencapsulation of claim 1, wherein the establishing a multi-mode resonance model for identifying the overall respiratory mode frequency, the interlayer dislocation mode frequency and the liquid nuclear shaking mode frequency comprises, Calculating eddy current distribution in the cable metal layer based on each subharmonic magnetic field of the three-phase current, and calculating Lorentz volume force amplitude and periodic thermal stress amplitude corresponding to each subharmonic frequency according to the eddy current distribution; The microcapsule-containing insulating layer is used as a viscoelastic composite material to establish a three-degree-of-freedom vibration equation, and the three degrees of freedom are radial compression, shear deformation and microcapsule liquid core pressure oscillation; And taking the Lorentz volume force amplitude and the periodic thermal stress amplitude as corresponding harmonic frequency excitation, solving a response amplitude of a vibration equation at each harmonic frequency to form a frequency response curve, identifying formants with amplitude exceeding a baseline preset multiple, and selecting three formants with the lowest frequency, wherein the three formants are the integral respiratory mode frequency, the interlayer dislocation mode frequency and the liquid nuclear shaking mode frequency in sequence from low to high.
3. The method for passive self-inductance active fire prevention detection of a distribution pipe rack and a cabinet based on perfluorinated hexanone microencapsulation of claim 2, wherein the integrated output structure status tag comprises, Judging the state of the interlayer according to the ratio of the frequency interval to the overall respiratory mode frequency, judging that the interlayer is well bonded when the ratio is larger than a first threshold value, judging that the interlayer is about to be debonded when the ratio is between the first threshold value and a second threshold value, and judging that the interlayer is debonded when the ratio is smaller than the second threshold value; Judging the liquid core state according to the ratio of the liquid core shaking mode response amplitude to the background response amplitude, wherein the ratio is larger than a third threshold value, judging that the liquid core is sealed well, and the ratio is smaller than the third threshold value, judging that the liquid core is leaked; outputting a structural state label according to the combination of the interlayer state and the liquid core state, outputting a multi-layer intact label after the interlayer is well adhered and the liquid core is well sealed, namely, debonding the interlayer and outputting a degraded label after the liquid core is well sealed, and outputting the degraded label after the interlayer is debonded or the liquid core is leaked.
4. The method for passive self-inductance active fire prevention detection of electrical distribution pipe rack and cabinet based on perfluoro-hexanone microencapsulation of claim 3, wherein the predicting of natural cracking type of each position point without external stress interference according to the evolution trend comprises, When the structural state label is a multilayer intact label, the natural fracture criterion comprises that three modal frequencies are attenuated to corresponding critical frequencies, the relative distance between each frequency and the corresponding critical frequency is calculated, and the frequency corresponding to the frequency with the smallest relative distance is fractured into a natural fracture type; when the structural state label is about to be degraded, the natural fracture criterion is that the frequency interval is attenuated to zero, and the natural fracture type is mode merging fracture; When the structural state label is a degenerated label, the natural rupture criterion of the interlayer debonded is that the integral breathing mode frequency is attenuated to the single-layer critical frequency natural rupture type is single-layer failure rupture, the natural rupture criterion of the liquid core leaked is that the interlayer dislocation mode frequency is attenuated to the shearing critical frequency natural rupture type is shearing failure rupture.
5. The method for passive self-inductance active fire prevention detection of a distribution pipe rack and a cabinet based on perfluorinated hexanone microencapsulation of claim 4, wherein the output rupture space-time sequence comprises the steps of storing integral breathing mode frequency, interlayer dislocation mode frequency and liquid nucleus shaking mode frequency as dynamic states by a graph structure model node, storing the structural state label and the natural rupture type as node attributes, and storing inter-node space distance as side attributes; The unbroken node breaks when the relative distance between any modal frequency and the corresponding critical frequency reaches zero or the structural state label is a label to be degraded and the frequency interval decays to zero; The cracking node determines heat source intensity propagation heat according to the natural cracking type, liquid nuclear mode cracking and mode combining cracking correspond to high heat source intensity, breathing mode cracking and dislocation mode cracking correspond to medium heat source intensity, single-layer failure cracking and shearing failure cracking correspond to low heat source intensity, and heat is attenuated and propagated to neighbor nodes according to the spatial distance of edges; The neighbor node determines temperature change caused by heat sensitivity coefficient modulation receiving heat according to the structural state label, wherein the multi-layer intact label corresponds to a heat sensitivity coefficient smaller than 1, namely, the degraded label corresponds to a heat sensitivity coefficient larger than 1, the degraded label corresponds to a heat sensitivity coefficient equal to 1, and the temperature change causes the frequency attenuation of each mode; after the frequency is attenuated, the ratio of the frequency interval to the overall respiratory mode frequency is recalculated, the structural state label is updated according to the magnitude relation between the ratio and the first threshold value and the magnitude relation between the ratio and the second threshold value, the ratio is larger than the first threshold value and corresponds to the multi-layer intact label, the ratio is between the first threshold value and the second threshold value and corresponds to the label to be degraded, the ratio is smaller than the second threshold value and corresponds to the degraded label, and the natural fracture type is determined again according to the relative distance between each frequency and the corresponding critical frequency; And continuing iteration until no new node breaks and the frequency change is smaller than a preset convergence threshold, and outputting the breaking space-time sequence.
6. The method for passive self-inductance active fire protection detection of a power distribution pipe rack and a cabinet based on perfluorinated hexanone microencapsulation of claim 5, wherein the analysis of the fracture space-time sequence to determine the coping strategy and the pre-warning level comprises ordering the nodes according to the fracture time and the position analysis space expansion mode of the nodes in the fracture space-time sequence, determining a cascade diffusion mode when the distance between the position of the subsequent fracture node and the position of the initial fracture node continuously increases with time, determining a jump propagation mode when the distance between the position of the subsequent fracture node and the position of the initial fracture node increases with time, and determining a multi-source concurrency mode when a plurality of nodes fracture simultaneously at similar time and the positions are scattered; Analyzing the time evolution trend of the natural fracture types according to the fracture moment and the natural fracture types of all nodes in the fracture space-time sequence, sequencing the natural fracture types of all nodes according to the fracture moment, judging the natural fracture types as a deterioration trend when the mode merging fracture occurs in the later period of the time sequence and the proportion of the mode merging fracture nodes to the total fracture nodes exceeds a preset threshold, and judging the natural fracture types as a stable trend when the natural fracture types in the time sequence are kept as breathing mode fracture, dislocation mode fracture or liquid nuclear mode fracture; Determining a coping strategy and an early warning level according to the combination of the spatial expansion mode and the natural fracture type time evolution trend, wherein when a deterioration trend occurs, the cascade diffusion mode corresponds to the emergency power failure coping strategy and the high early warning level, the jump propagation mode or the multi-source concurrency mode corresponds to the full line investigation coping strategy and the medium early warning level, and when the deterioration trend is stable, the cascade diffusion mode corresponds to the full line investigation coping strategy and the medium early warning level, and the jump propagation mode or the multi-source concurrency mode corresponds to the local coping strategy and the low early warning level; and extracting the node with the earliest breaking time from the breaking space-time sequence as an initial breaking node, wherein the breaking time of the node is used as the early warning time, the position of the node is used as the fault position, and the fault phase is determined according to the cable phase corresponding to the position of the node.
7. The method for passive self-sensing active fire prevention detection of a distribution pipe rack and a cabinet based on perfluorinated hexanone microencapsulation is characterized in that the comprehensive judgment of rupture and fire extinction success based on measurement value and judgment standard comparison comprises the steps of determining a retest object and a judgment standard according to the coping strategy, wherein the retest object corresponding to the emergency power failure coping strategy is the integral respiratory mode frequency of the whole phase section and the judgment standard is more than the preset percentage of the pre-early-warning baseline, the retest object corresponding to the whole line coping strategy is the structural state label of the whole phase cable section and the judgment standard is no newly added degraded label, the retest object corresponding to the local coping strategy is the integral respiratory mode frequency and the interlayer dislocation mode frequency of the adjacent area of the fault position and the judgment standard is more than the preset percentage of the pre-early-warning baseline, and the frequency interval is restored to the stable range; When the strategy is to be treated locally, the high early warning level reduces the range of the adjacent area to be within a first distance, the medium early warning level sets the range of the adjacent area to be within a second distance, the low early warning level enlarges the range of the adjacent area to be within a third distance, and the first distance is smaller than the second distance; The three-phase current harmonic wave is collected again in a determined adjacent area aiming at the fault phase to be converted into magnetic field intensity, the multi-mode resonance model is established to identify the overall respiratory mode frequency, the interlayer dislocation mode frequency and the liquid nucleus shaking mode frequency again, the frequency interval is calculated again, the structural state label is judged again, and the measured value of a retest object is obtained; comparing the measured value of the retest object with a corresponding judging standard, judging that the microcapsule breaks when the measured value meets the judging standard and the perfluorinated hexanone is successfully released to realize fire extinguishment, and judging that the fire extinguishment fails when the measured value does not meet the judging standard, wherein manual intervention is needed.
8. The perfluorinated hexanone-based microencapsulated power distribution pipe rack and cabinet passive self-inductance active fireproof detection system is applied to the perfluorinated hexanone-based microencapsulated power distribution pipe rack and cabinet passive self-inductance active fireproof detection method according to any one of claims 1-7, and is characterized by comprising a state identification module, a detection module and a detection module, wherein the state identification module is used for acquiring three-phase current harmonic waves, converting the three-phase current harmonic waves into magnetic field intensity, establishing a multi-mode resonance model, identifying integral respiration mode frequency, interlayer dislocation mode frequency and liquid core shaking mode frequency, calculating frequency intervals, judging interlayer state and liquid core state, and outputting structural state labels; The rupture prejudging module is used for determining a natural rupture criterion according to the structural state label, analyzing the modal frequency evolution trend and prejudging the natural rupture type of each position point; The cascade simulation module is used for setting position points along the cable, constructing a graph structure model, taking the structure state label and the natural fracture type as node attributes, taking the space distance between nodes as edge attributes, iteratively simulating the cascade process of heat conduction and node fracture, and outputting a fracture space-time sequence; the early warning decision module is used for analyzing a space expansion mode and a natural fracture type time evolution trend based on the fracture space-time sequence, determining a coping strategy and an early warning level, extracting an earliest node and determining early warning time, a fault phase and a fault position; And the verification judging module is used for determining a retest object and a judging standard according to the coping strategy and the early warning grade after the early warning moment, acquiring a retest object measured value in the fault position adjacent area, and judging that the fire is broken and the fire is successfully extinguished based on the measured value and the judging standard.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the perfluorohexanone-based microencapsulated distribution pipe rack and cabinet passive self-inductance active fire protection detection method as defined in any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the perfluorohexanone microcapsule based distribution pipe rack and cabinet passive self-inductance active fire protection detection method of any one of claims 1 to 7.

Description

Power distribution pipe rack and cabinet passive self-inductance active fireproof detection method and system based on perfluoro-hexanone microencapsulation Technical Field The invention relates to the technical field of electric fireproof detection, in particular to a passive self-inductance active fireproof detection method and system for a distribution pipe rack and a cabinet based on perfluoro-hexanone microencapsulation. Background Fire accidents of distribution pipe corridors and cabinets are mostly caused by cable insulation degradation. The traditional detection method relies on an external sensor or regular maintenance, and has the problems of response lag and coverage blind areas. The infrared temperature measurement needs to expose the surface and cannot monitor the inside of the cable, the partial discharge detection is greatly influenced by electromagnetic interference, the online monitoring system needs external power supply, and the service life of the sensor is limited. The microencapsulated perfluorinated hexanone is a passive fireproof material, and can be implanted into an insulating layer in advance to automatically crack and release fire extinguishing agent at high temperature. However, the prior art lacks a real-time monitoring means for the structural state of the microcapsule, the rupture time and the rupture position cannot be prejudged in advance, and the active fire prevention and the passive failure are difficult to distinguish, so that the fire extinguishing effect can be confirmed after the fire spreads. The three-phase current harmonics when the cable is running generate periodic magnetic fields and eddy currents that excite a vibrational response in the insulating layer. The inherent electromagnetic-mechanical coupling phenomenon provides a physical basis for passive self-inductance detection, but no effective technical scheme exists on how to extract microcapsule structure degradation information from a harmonic magnetic field and predict the space-time evolution rule of cascade rupture. Disclosure of Invention In view of the problems, the invention provides a passive self-inductance active fireproof detection method and system for a distribution pipe rack and a cabinet based on perfluoro-hexanone microencapsulation. Therefore, the technical problem solved by the invention is that the existing distribution fireproof detection technology cannot monitor the structural degradation state of the microcapsule insulating layer in real time, lacks the capability of predicting the space-time evolution of the microcapsule cascade rupture, is difficult to realize active early warning before the fire spread, and cannot distinguish the microcapsule active fireproof rupture from the structural passive failure. In order to solve the technical problems, the invention provides a technical scheme that the passive self-inductance active fireproof detection method for the distribution pipe rack and the cabinet based on the perfluoro-hexanone microencapsulation comprises the following steps, Collecting three-phase current harmonic waves, converting the three-phase current harmonic waves into magnetic field intensity, establishing a multi-mode resonance model, identifying overall respiratory mode frequency, interlayer dislocation mode frequency and liquid core shaking mode frequency, calculating frequency intervals between the interlayer dislocation mode frequency and the overall respiratory mode frequency, judging interlayer states according to the frequency intervals, judging liquid core states according to liquid core shaking mode response amplitude values, and comprehensively outputting structural state labels; determining a natural fracture criterion according to the structural state label, determining the natural fracture criterion according to the structural state label, and pre-judging the natural fracture type of each position point without external stress interference according to the relative distance between each modal frequency and the corresponding critical frequency; Setting position points along a cable, taking the structural state labels and the natural fracture types of the position points as node attributes, taking the space distance between the nodes as edge attributes, constructing a graph structural model to establish a heat conduction relationship between the nodes, iteratively simulating a cascading process of heat conduction and node fracture, and outputting a fracture space-time sequence, wherein the fracture space-time sequence records the fracture moment, the position and the natural fracture types of the nodes; Based on the time evolution trend of the space expansion mode and the natural fracture type, determining a coping strategy and an early warning level according to the time evolution trend of the fracture space-time sequence, extracting the earliest node output time as the early warning time, the phase as the fault phase and the position as the fault position, a