Fireproof blanket anti-breakdown performance evaluation method and system based on characteristic analysis

Abstract

The embodiment of the present disclosure is a cable fireproof blanket breakdown prevention performance evaluation method and system based on characteristic analysis. The method comprises: determining a carbonization influence factor according to carbonization area, carbonization depth and carbonization speed in carbonization data; determining a crack influence factor according to crack number, crack width and crack propagation direction in crack data; determining an odor influence factor according to odor type, odor intensity and odor release time in odor data; determining a resistance influence factor according to resistance value; and evaluating the breakdown prevention performance of the fireproof blanket according to the above influence factors. According to the carbonization data, crack data, odor data and insulation resistance value of the fireproof blanket, the embodiment of the present disclosure respectively obtains corresponding influence factors, then comprehensively evaluates the breakdown prevention performance of the fireproof blanket according to the above influence factors, considers more comprehensive and reasonable influence factors, makes the obtained evaluation result more accurate, and provides more actual engineering needed data for the design and application of the fireproof blanket.

Description

Technical Field

[0001] This disclosure relates to the field of performance evaluation technology, and in particular to a method and system for evaluating the breakdown performance of cable fire blankets based on characteristic analysis. Background Technology

[0002] Currently, the application of underground cables has improved the resilience of urban power grids, but their concealed and dense nature has also created new safety hazards. Data from recent years shows an upward trend in fires in cable tunnels and shafts. These accidents are characterized by complex causative mechanisms, rapid disaster spread, and far-reaching secondary damage. Multiple factors, such as cable overload, insulation aging, and partial discharge, coupled together, can easily trigger an "electro-thermal-chemical" chain reaction. Therefore, fire blankets are generally used to enhance fire protection for cables.

[0003] During the protection process of a fire blanket, if it encounters excessively high voltage, it can cause the fire blanket to break down. Current technology lacks the technique to evaluate the breakdown resistance performance of a fire blanket after breakdown, making it impossible to accurately assess its breakdown resistance.

[0004] Therefore, it is necessary to improve one or more of the problems existing in the above-mentioned related technical solutions.

[0005] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this disclosure is to provide a method and system for evaluating the breakdown performance of cable fire blankets based on characteristic analysis, thereby overcoming, to at least to some extent, one or more problems caused by the limitations and defects of related technologies.

[0007] According to a first aspect of the present disclosure, a method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis is provided, the method comprising the following steps:

[0008] Obtain carbonization data after the fire blanket is punctured, and determine the carbonization influencing factor based on the carbonization area, carbonization depth and carbonization rate in the carbonization data;

[0009] Acquire crack data after fire blanket puncture, and determine crack influence factor based on crack number, crack width and crack propagation direction in the crack data;

[0010] Obtain odor data after the fire blanket is punctured, and determine the odor influencing factor based on the odor type, odor intensity, and odor release time in the odor data;

[0011] Obtain the insulation resistance value of the fireproof blanket, and determine the resistance influence factor based on the resistance value;

[0012] The breakdown resistance of the fire blanket is evaluated based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor.

[0013] In one exemplary embodiment of this disclosure, the carbonization influence factor is calculated using the following formula:

[0014]

[0015] In the formula, C is the carbonization influence factor, A is the carbonization area, A0 is the reference carbonization area, d is the carbonization depth, d0 is the reference carbonization depth, ΔA is the increase in carbonization area, Δd is the increase in carbonization depth, t is the breakdown time, k1, k2, and k3 are the weighting coefficients, and k1+k2+k3=1.

[0016] In one exemplary embodiment of this disclosure, the formula for calculating the crack influence factor is as follows:

[0017]

[0018] In the formula, F is the crack influence factor, n is the number of cracks, n0 is the reference number of cracks, ω is the average crack width, ω0 is the reference crack width, p is the proportion of parallel-propagating crack length to the total crack length, k4, k5, and k6 are weighting coefficients, and k4+k5+k6=1.

[0019] In one exemplary embodiment of this disclosure, the formula for calculating the odor influencing factor is as follows:

[0020]

[0021] In the formula, Q is the odor influencing factor, c is the concentration of odor substances, c0 is the reference concentration of odor substances, s is the odor intensity score, T is the odor release time, T0 is the reference odor release time, k7, k8, and k9 are the weighting coefficients, and k7+k8+k9=1.

[0022] In one exemplary embodiment of this disclosure, the formula for calculating the resistance influence factor is as follows:

[0023]

[0024] In the formula, I R R is the resistance influence factor, R0 is the standard insulation resistance value of the fire blanket, and R is the insulation resistance of the fire blanket.

[0025] In an exemplary embodiment of this disclosure, the step of evaluating the breakdown resistance performance of the fire blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor includes:

[0026] Determine the evaluation weight coefficients for the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor;

[0027] The values ​​of the fire blanket's anti-penetration performance evaluation index are calculated based on the weighting coefficients of each evaluation factor.

[0028] The penetration resistance level of the fire blanket is determined based on the values ​​of the evaluation indicators.

[0029] In one exemplary embodiment of this disclosure, the calculation process of the evaluation index value is as follows:

[0030] P = ω1C + ω2F + ω3Q + ω4I R

[0031] In the formula, P is the value of the evaluation index, ω1, ω2, ω3 and ω4 are the evaluation weight coefficients of the corresponding factors, and ω1+ω2+ω3+ω4=1.

[0032] In an exemplary embodiment of this disclosure, the step of determining the penetration resistance level of the fire blanket based on the evaluation index value includes:

[0033] When the value of the evaluation index is less than or equal to 0.5, the penetration resistance performance level is set as excellent.

[0034] When the value of the evaluation index is greater than 0.5 and less than 0.8, the penetration resistance performance level is set as good.

[0035] When the value of the evaluation index is greater than or equal to 0.8, the penetration resistance performance level is set as poor.

[0036] According to a second aspect of the present disclosure, a cable fire blanket breakdown performance evaluation system based on characteristic analysis is provided, the system comprising:

[0037] The carbonization data acquisition module is used to acquire carbonization data after the fire blanket is punctured, and to determine the carbonization influencing factor based on the carbonization area, carbonization depth and carbonization rate in the carbonization data.

[0038] The crack data acquisition module is used to acquire crack data after the fire blanket is punctured, and to determine the crack influence factor based on the number of cracks, crack width and crack propagation direction in the crack data.

[0039] The odor data acquisition module is used to acquire odor data after the fire blanket is punctured, and to determine the odor influencing factor based on the odor type, odor intensity and odor release time in the odor data;

[0040] The resistance data acquisition module is used to acquire the insulation resistance value of the fire blanket and determine the resistance influence factor based on the resistance value.

[0041] The performance evaluation module is used to evaluate the breakdown resistance performance of the fire blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor.

[0042] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0043] In the embodiments of this disclosure, corresponding influencing factors are obtained based on the carbonization data, crack data, odor data, and insulation resistance value of the fire blanket. Then, the breakdown resistance performance of the fire blanket is evaluated by comprehensively considering the above influencing factors. The influencing factors are more comprehensive and reasonable, making the evaluation results more accurate and providing data that is more in line with the actual engineering needs for the design and application of fire blankets.

[0044] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0045] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0046] Figure 1 A flowchart illustrating the method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis in an exemplary embodiment of this disclosure is shown.

[0047] Figure 2 This diagram illustrates a flowchart of evaluating the breakdown resistance of the fire blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor in an exemplary embodiment of this disclosure.

[0048] Figure 3 This diagram illustrates a test platform for conducting a fire blanket breakdown experiment in an exemplary embodiment of this disclosure.

[0049] Figure 4 This image shows a fire blanket being punctured in an exemplary embodiment of this disclosure.

[0050] Figure 5This diagram illustrates the structure of an electronic device according to an exemplary embodiment of the present disclosure.

[0051] Figure 6 This diagram illustrates the structure of a program product used to implement a characteristic analysis-based method for evaluating the breakdown performance of cable fire blankets, as shown in an exemplary embodiment of this disclosure. Detailed Implementation

[0052] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that this disclosure will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0053] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0054] This example implementation first provides a method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis, referencing... Figure 1 As shown, the method may include the following steps:

[0055] Step S101: Obtain carbonization data after the fire blanket is punctured, and determine the carbonization influencing factor based on the carbonization area, carbonization depth and carbonization rate in the carbonization data.

[0056] Step S102: Obtain crack data after the fire blanket is punctured, and determine the crack influence factor based on the number of cracks, crack width and crack propagation direction in the crack data.

[0057] Step S103: Obtain odor data after the fire blanket is punctured, and determine the odor influencing factor based on the odor type, odor intensity and odor release time in the odor data;

[0058] Step S104: Obtain the insulation resistance value of the fireproof blanket, and determine the resistance influence factor based on the resistance value;

[0059] Step S105: Evaluate the breakdown resistance performance of the fireproof blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor.

[0060] Using the above method, corresponding influencing factors are obtained based on the carbonization data, crack data, odor data, and insulation resistance value of the fire blanket. Then, the breakdown resistance performance of the fire blanket is evaluated by comprehensively considering the above influencing factors. The influencing factors are more comprehensive and reasonable, making the evaluation results more accurate and providing data that is more in line with the actual engineering needs for the design and application of fire blankets.

[0061] The steps of the method described above in this example embodiment will now be explained in more detail.

[0062] In step S101, the calculation formula for the carbonization influence factor is as follows:

[0063]

[0064] In the formula, C is the carbonization influence factor, A is the carbonization area, A0 is the reference carbonization area, d is the carbonization depth, d0 is the reference carbonization depth, ΔA is the increase in carbonization area, Δd is the increase in carbonization depth, t is the breakdown time, k1, k2, and k3 are the weighting coefficients, and k1+k2+k3=1.

[0065] Fire blankets with smaller carbonized areas and shallower carbonization depths can more effectively resist high temperatures and electric arcs, exhibiting better breakdown resistance. Reference carbonized area and depth can be determined experimentally. For example, multiple representative fire blanket samples can be selected, and a simulated breakdown test device matching actual application scenarios can be used to record the breakdown conditions of the fire blankets. The average or median of the data can then be selected as a reference value.

[0066] In step S102, the formula for calculating the crack influence factor is as follows:

[0067]

[0068] In the formula, F is the crack influence factor, n is the number of cracks, n0 is the reference number of cracks, ω is the average crack width, ω0 is the reference crack width, p is the proportion of parallel-propagating crack length to the total crack length, k4, k5, and k6 are weighting coefficients, and k4+k5+k6=1.

[0069] Fewer and narrower cracks help maintain the integrity of the fire blanket and improve its resistance to breakdown. The smaller the F-value, the better the resistance to breakdown. If the cracks mainly propagate parallel to the surface, let p be the proportion of the length of the parallel-propagating cracks to the total crack length. Then the crack propagation direction factor D = 1 - p. The closer the D value is to 0, the better the resistance to breakdown.

[0070] In step S103, the formula for calculating the odor influencing factor is as follows:

[0071]

[0072] In the formula, Q is the odor influencing factor, c is the concentration of odor substances, c0 is the reference concentration of odor substances, s is the odor intensity score, T is the odor release time, T0 is the reference odor release time, k7, k8, and k9 are the weighting coefficients, and k7+k8+k9=1.

[0073] A weak, non-irritating, and non-toxic odor indicates good thermal stability of the material and has a positive impact on its puncture resistance. The concentration of odor substances can be measured using specialized equipment, and a score can be assigned based on the odor type. The score ranges from 0 to 100, where 0 indicates no unpleasant odor and 100 indicates a strong and harmful odor. A short odor release time indicates a rapid and brief material reaction, with minimal impact on puncture resistance.

[0074] In step S104, the formula for calculating the resistance influence factor is as follows:

[0075]

[0076] In the formula, I R R is the resistance influence factor, R0 is the standard insulation resistance value of the fire blanket, and R is the insulation resistance of the fire blanket.

[0077] It has high insulation resistance, which effectively blocks current flow and improves its breakdown resistance. R The closer the voltage is to 0, the better the breakdown protection performance. Furthermore, future studies could consider the breakdown voltage value to further evaluate the breakdown protection performance.

[0078] In some embodiments, such as Figure 2 As shown, step S105 includes steps S201 to S203, as detailed below:

[0079] S201, determine the evaluation weight coefficients of the carbonization influence factor, crack influence factor, odor influence factor and resistance influence factor;

[0080] S202, calculate the values ​​of the fire blanket's anti-penetration performance evaluation index based on each evaluation weight coefficient;

[0081] S203, determine the penetration resistance level of the fire blanket based on the evaluation index values.

[0082] In this embodiment, the calculation process of the evaluation index value is as follows:

[0083] P = ω1C + ω2F + ω3Q + ω4I R

[0084] In the formula, P is the value of the evaluation index, ω1, ω2, ω3 and ω4 are the evaluation weight coefficients of the corresponding factors, and ω1+ω2+ω3+ω4=1.

[0085] In this embodiment, by calculating specific evaluation index values, the relatively abstract performance characteristic of fire blankets—their resistance to puncture—can be transformed into intuitive and quantifiable data. This more accurately reflects the actual ability of fire blankets to resist puncture, allowing both users and manufacturers to clearly understand the level of product quality. Furthermore, based on a unified evaluation index calculation formula, as long as the accurate parameters are input for numerical calculation, relatively objective results can be obtained, unaffected by subjective factors such as visual judgment and experiential habits, thus ensuring the fairness and accuracy of product quality assessment.

[0086] Based on the above embodiments, in some embodiments, the penetration resistance rating of the fire blanket is determined according to the evaluation index value: when the evaluation index value is less than or equal to 0.5, the penetration resistance rating is set as excellent; when the evaluation index value is greater than 0.5 and less than 0.8, the penetration resistance rating is set as good; when the evaluation index value is greater than or equal to 0.8, the penetration resistance rating is set as poor. Considering all the above factors, when all factors are in an ideal state, the P-value will be close to 0, representing excellent penetration resistance of the fire blanket; while when all factors are in a poor state, the P-value will be close to 1, meaning very poor penetration resistance. It should be noted that when using the evaluation index value to classify the rating, appropriate adjustments can be made according to the type of fire blanket, etc.

[0087] The assessed penetration resistance rating objectively reflects the fire blanket's penetration resistance capability, providing objective evaluation results for product performance assessment and ensuring high reliability.

[0088] This disclosure also provides a cable fire blanket breakdown performance evaluation system based on characteristic analysis, the system comprising:

[0089] The carbonization data acquisition module is used to acquire carbonization data after the fire blanket is punctured, and to determine the carbonization influencing factor based on the carbonization area, carbonization depth and carbonization rate in the carbonization data.

[0090] The crack data acquisition module is used to acquire crack data after the fire blanket is punctured, and to determine the crack influence factor based on the number of cracks, crack width and crack propagation direction in the crack data.

[0091] The odor data acquisition module is used to acquire odor data after the fire blanket is punctured, and to determine the odor influencing factor based on the odor type, odor intensity and odor release time in the odor data;

[0092] The resistance data acquisition module is used to acquire the insulation resistance value of the fire blanket and determine the resistance influence factor based on the resistance value.

[0093] The performance evaluation module is used to evaluate the breakdown resistance performance of the fire blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor.

[0094] In this embodiment, the beneficial effects of the above system are the same as those of the aforementioned method, and will not be repeated here.

[0095] In any of the above embodiments, corresponding devices can be used for data acquisition. For example, a high-definition camera can be used to capture images of the carbonized area on the surface of the fire blanket after it has been penetrated, and then processed using image analysis software. A high-definition camera can clearly capture details such as the boundary and shape of the carbonized area; for example, a camera with at least 10 megapixels can be used. The carbonization depth can be measured using an ultrasonic thickness gauge or calipers. The number and width of cracks can be measured using an optical microscope, and the crack propagation direction can be measured using a three-dimensional coordinate measuring machine.

[0096] Odor type and intensity can be collected and detected using gas chromatographs, mass spectrometers, or gas sensor arrays.

[0097] When conducting a penetration test on a fire blanket, the following methods can be used: Figure 3 The test platform shown is based on partial discharge testing. A gradual voltage ramping method is employed to ensure high-precision breakdown performance testing of the fire blanket samples at multiple voltage stages. The main components of the platform include a power supply, voltage regulator, transformer, protective resistor, voltage monitoring device, and grounding wire HFCT (high-frequency current transformer). During the experiment, the power supply is standard AC 220V. The voltage regulator is used to precisely adjust the voltage to simulate the working environment of the fire blanket under different voltage conditions. The high-voltage signal output from the transformer is recorded in real time through voltage monitoring points to ensure that the voltage gradually increases according to a predetermined method. During the voltage ramping process, the voltage is increased by 1kV each time, and a 2-minute pause is maintained after each ramp to observe whether insulation breakdown occurs. To accurately monitor the occurrence of breakdown, the experimental platform is equipped with a high-frequency current transformer (HFCT) connected to the grounding wire to capture changes in the current signal in real time and determine whether breakdown has occurred.

[0098] The experiment employed a plate-to-plate electrode configuration to ensure uniform voltage application to the fire blanket sample surface. After each voltage ramp-up cycle, the HFCT monitoring signal was used to determine if partial discharge or breakdown occurred. Significant signal fluctuations indicated that the fire blanket's insulation performance had reached or was close to its breakdown voltage, thus providing an accurate breakdown determination. Through a testing method combining gradual voltage ramp-up and real-time monitoring, the experimental platform can accurately evaluate the insulation stability and breakdown performance of the fire blanket under high-voltage conditions.

[0099] In this application, the voltage of the fire blanket sample was gradually increased, and its electrical performance was observed. When the voltage gradually increased to 7.98 kV, the fire blanket sample experienced obvious breakdown. Before breakdown, a loud current sound could be perceived audibly during the experiment, indicating that the current was rapidly increasing inside the sample, leading to abnormal current flow and accompanied by electrical stress concentration. When the voltage was further increased to the breakdown voltage, the signal detected by the high-frequency current transformer (HFCT) on the grounding wire rose sharply, and the signal displayed on the oscilloscope also showed obvious fluctuations, confirming that partial discharge gradually developed into electrical breakdown.

[0100] like Figure 4 As shown, Figure 4 The image shows a fire blanket after it has been punctured. Data is collected from this image to obtain an evaluation result of its puncture resistance performance. Furthermore, the puncture resistance performance of each layer of the fire blanket can be evaluated, and the final evaluation result of the fire blanket is obtained by combining the evaluation results of all layers. Specifically, the technical solution of the evaluation method proposed in this application is followed.

[0101] Regarding the system in the above embodiments, the specific ways in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0102] It should be noted that although several modules of the system for executing actions are mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more modules described above can be embodied in one module. Conversely, the features and functions of one module described above can be further divided and embodied by multiple modules. Components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the present invention according to actual needs. Those skilled in the art can understand and implement this without any inventive effort.

[0103] See Figure 5The present invention also provides an electronic device 300, which includes at least one memory 310, at least one processor 320, and a bus 330 connecting different platform systems.

[0104] The memory 310 may include a readable medium in the form of volatile memory, such as random access memory (RAM) 311 and / or cache memory 312, and may further include read-only memory (ROM) 313.

[0105] The memory 310 also stores a computer program, which can be executed by the processor 320, causing the processor 320 to execute the steps of the cable fire blanket breakdown performance evaluation method based on characteristic analysis in any embodiment of the present invention. The specific implementation method is consistent with the implementation method and the technical effect achieved in the above-described embodiment of the cable fire blanket breakdown performance evaluation method based on characteristic analysis, and some contents will not be repeated.

[0106] The memory 310 may also include a utility 314 having at least one program module 315, such program module 315 including but not limited to: an operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0107] Accordingly, processor 320 can execute the aforementioned computer program, and can also execute utility 314.

[0108] Bus 330 can represent one or more of several bus structures, including a memory bus or memory controller, peripheral bus, graphics acceleration port, processor, or a local bus using any of the various bus structures.

[0109] Electronic device 300 can also communicate with one or more external devices 340, such as keyboards, pointing devices, Bluetooth devices, etc., and with one or more devices capable of interacting with it, and / or with any device that enables it to communicate with one or more other computing devices (e.g., routers, modems, etc.). This communication can be performed via input / output interface 350. Furthermore, electronic device 300 can communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 360. Network adapter 360 can communicate with other modules of electronic device 300 via bus 330. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0110] This invention also provides a computer-readable storage medium for storing a computer program. When the computer program is executed, it implements the steps of the cable fire blanket breakdown performance evaluation method based on characteristic analysis in this invention. The specific implementation method is consistent with the implementation method and the technical effects achieved in the above-described cable fire blanket breakdown performance evaluation method based on characteristic analysis, and some details will not be repeated.

[0111] Figure 6 This embodiment illustrates a program product 400 for implementing the above-described characteristic analysis-based method for evaluating the breakdown performance of cable fire blankets. This product can be a portable compact disc read-only memory (CD-ROM) and includes program code, and can run on a terminal device, such as a personal computer. However, the program product 400 of this invention is not limited thereto. In this invention, the readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. The program product 400 can employ any combination of one or more readable media. A readable medium can be a readable signal medium or a readable storage medium. A readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0112] Computer-readable storage media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium capable of sending, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, or any suitable combination thereof. Program code for performing the operations of this invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar programming languages. The program code may be executed entirely on a user computing device, partially on a user device, as a standalone software package, partially on a user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing devices can be connected to user computing devices via any type of network, including local area networks (LANs) or wide area networks (WANs), or they can be connected to external computing devices (e.g., via the Internet using an Internet service provider).

[0113] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis, characterized in that, The method includes the following steps: Obtain carbonization data after the fire blanket is punctured, and determine the carbonization influencing factor based on the carbonization area, carbonization depth and carbonization rate in the carbonization data; The formula for calculating the carbonization impact factor is as follows: In the formula, C is the carbonization influencing factor, and A is the carbonization area. For reference carbonization area, d represents carbonization depth. For reference carbonization depth, ΔA represents the increase in carbonization area, Δd represents the increase in carbonization depth, and t represents the breakdown time. , , These are the weighting coefficients, ; Acquire crack data after fire blanket puncture, and determine crack influence factor based on crack number, crack width and crack propagation direction in the crack data; The formula for calculating the crack influence factor is as follows: In the formula, F is the crack influence factor, and n is the number of cracks. The number of cracks is used as a reference, and ω is the average crack width. For reference crack width, p is the proportion of parallel-propagating crack length to total crack length. , , These are the weighting coefficients, ; Obtain odor data after the fire blanket is punctured, and determine the odor influencing factor based on the odor type, odor intensity, and odor release time in the odor data; The formula for calculating the odor influencing factor is as follows: In the formula, Q is the odor influencing factor, and c is the concentration of odor substances. For reference odor substance concentration, s represents the odor intensity score, and T represents the odor release time. For reference, odor release time, , , These are the weighting coefficients, ; Obtain the insulation resistance value of the fireproof blanket, and determine the resistance influence factor based on the resistance value; The formula for calculating the resistance influence factor is as follows: In the formula, The resistance influence factor, R is the standard insulation resistance value of the fire blanket; The breakdown resistance of the fire blanket is evaluated based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor.

2. The method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis according to claim 1, characterized in that, The step of evaluating the breakdown resistance performance of the fire blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and electrical resistance influence factor includes: Determine the evaluation weight coefficients for the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor; The values ​​of the fire blanket's anti-penetration performance evaluation index are calculated based on the weighting coefficients of each evaluation factor. The penetration resistance level of the fire blanket is determined based on the values ​​of the evaluation indicators.

3. The method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis according to claim 2, characterized in that, The calculation process for the evaluation index values ​​is as follows: In the formula, P is the value of the evaluation index. , , and These are the evaluation weight coefficients for the corresponding factors. .

4. The method for evaluating the breakdown performance of cable fire blankets based on characteristic analysis according to claim 3, characterized in that, The step of determining the penetration resistance level of the fire blanket based on the evaluation index value includes: When the value of the evaluation index is less than or equal to 0.5, the penetration resistance performance level is set as excellent. When the value of the evaluation index is greater than 0.5 and less than 0.8, the penetration resistance performance level is set as good. When the value of the evaluation index is greater than or equal to 0.8, the penetration resistance performance level is set as poor.

5. A cable fire blanket breakdown performance evaluation system based on characteristic analysis, used to perform the method described in any one of claims 1 to 4, characterized in that, The system includes: The carbonization data acquisition module is used to acquire carbonization data after the fire blanket is punctured, and to determine the carbonization influencing factor based on the carbonization area, carbonization depth and carbonization rate in the carbonization data. The crack data acquisition module is used to acquire crack data after the fire blanket is punctured, and to determine the crack influence factor based on the number of cracks, crack width and crack propagation direction in the crack data. The odor data acquisition module is used to acquire odor data after the fire blanket is punctured, and to determine the odor influencing factor based on the odor type, odor intensity and odor release time in the odor data; The resistance data acquisition module is used to acquire the insulation resistance value of the fire blanket and determine the resistance influence factor based on the resistance value. The performance evaluation module is used to evaluate the breakdown resistance performance of the fire blanket based on the carbonization influence factor, crack influence factor, odor influence factor, and resistance influence factor.

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