Fire detection device, method and apparatus based on cable operating parameters

Abstract

This application discloses a fire detection device, method, and equipment based on cable operating parameters, belonging to the field of power facility technology. The device may include: an operating parameter acquisition module for acquiring voltage and current data of the cable during operation according to a preset cycle; a feature construction module for constructing cable data features based on the voltage and current data; and a data analysis module for matching the cable data features with pre-constructed stage features of each fire stage. If a match is successful, the fire stage in which the cable is located is determined. This technical solution, by constructing cable data features based on the cable's operating parameters, can quickly extract useful information for fire detection. By matching the cable data features with the stage features of each fire stage, it can determine whether the current cable has a fire hazard and its current fire stage, improving detection efficiency and accuracy, and helping personnel to take timely and effective action.

Description

Technical Field

[0001] This application belongs to the field of power facility technology, specifically relating to a fire detection device, method and equipment based on cable operating parameters. Background Technology

[0002] Among various disasters, fire is one of the most frequent and widespread threats to public safety and social development. Meanwhile, cables, as the main component of electrical wiring, are widely used in all aspects of life, including information transmission, industrial operations, and transportation. The number of fires caused by cables is countless, resulting in devastating losses. Therefore, monitoring cables for fire hazards is essential.

[0003] Existing cable monitoring systems suffer from problems such as untimely monitoring, limited coverage, and low monitoring efficiency. They have not yet achieved comprehensive real-time monitoring of fire hazards. This means that staff cannot promptly determine whether cables pose a fire hazard, thus hindering timely fire prevention and control. Furthermore, the system cannot determine the stage of the fire, preventing accurate and appropriate solutions and ultimately resulting in significant economic losses. Therefore, how to quickly and accurately monitor the presence of fire hazards and the current stage of a fire, based solely on the cable's operating parameters, is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] The purpose of this application is to provide a fire detection device, method, and equipment based on cable operating parameters. The aim is to quickly and accurately determine whether there is a fire hazard in the cable and the current fire stage based on the cable's operating parameters and the pre-constructed stage characteristics of each fire stage, so as to help staff to deal with the situation effectively in a timely manner.

[0005] In a first aspect, embodiments of this application provide a fire detection device based on cable operating parameters, the device comprising:

[0006] The working parameter acquisition module is used to acquire voltage and current data of the cable during operation according to a preset cycle;

[0007] A feature construction module is used to construct cable data features based on the voltage data and the current data;

[0008] The data analysis module is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0009] Secondly, embodiments of this application provide a fire detection method based on cable operating parameters, the method comprising:

[0010] The operating parameter acquisition module acquires voltage and current data of the cable during operation according to a preset cycle;

[0011] The feature construction module constructs cable data features based on the voltage and current data.

[0012] The data analysis module matches the cable data characteristics with the pre-built characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0013] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0014] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0015] Fifthly, embodiments of this application provide a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the method as described in the first aspect.

[0016] In this embodiment, the operating parameter acquisition module is used to acquire voltage and current data of the cable during operation according to a preset cycle; the feature construction module is used to construct cable data features based on the voltage and current data; and the data analysis module is used to match the cable data features with pre-constructed stage features of each fire stage. If the match is successful, the fire stage in which the cable is located is determined. The above-mentioned fire detection device based on cable operating parameters can quickly extract useful information for fire detection by constructing cable data features based on the cable's operating parameters. By matching the cable data features with the stage features of each fire stage, it can determine whether the cable currently has a fire hazard and its current fire stage, improving detection efficiency and accuracy, and helping personnel to handle the situation effectively and promptly. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 1 of this application;

[0018] Figure 2 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 2 of this application;

[0019] Figure 3This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 3 of this application;

[0020] Figure 4 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 4 of this application;

[0021] Figure 5 This is a schematic flowchart of the fire detection method based on cable operating parameters provided in Embodiment 5 of this application;

[0022] Figure 6 This is a schematic diagram of the structure of the electronic device provided in Embodiment Six of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0024] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0025] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0026] The fire detection device, method, and equipment based on cable operating parameters provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0027] Example 1

[0028] Figure 1 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 1 of this application. Figure 1 As shown, the specific steps include the following:

[0029] The working parameter acquisition module 110 is used to acquire voltage and current data of the cable during operation according to a preset cycle;

[0030] Feature construction module 120 is used to construct cable data features based on the voltage data and the current data;

[0031] The data analysis module 130 is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0032] This application applies to scenarios where cable data characteristics are constructed based on voltage and current data, and then matched with pre-constructed stage characteristics for each fire stage to determine the fire stage of the cable. Specifically, the construction of cable data characteristics and the matching of cable data characteristics with stage characteristics for each fire stage can be performed by intelligent terminal devices. Personnel can then identify cable sections where a fire is about to occur based on the cable data characteristics and take timely and effective measures to address these sections.

[0033] Based on the above usage scenarios, it is understood that the executing entity of this application can be the smart terminal device, such as a desktop computer, laptop computer, mobile phone, tablet computer, and interactive multimedia device, etc., without further limitations.

[0034] The working parameter acquisition module 110 may consist of a current transformer, a digital voltmeter, and a computer microprocessor chip, and is used to acquire voltage and current data of the cable during operation according to a preset cycle.

[0035] The preset period can be the time interval between any two data acquisition points. The value of the preset period can be selected based on data processing and storage capabilities as well as data stability. Specifically, a shorter preset period can generate more data, requiring correspondingly more computing and storage resources for processing and storage. For stable voltage and current data, a longer preset period can still achieve the monitoring purpose. For voltage and current data with rapid changes or transient events, a shorter preset period is needed to accurately capture these changes.

[0036] Voltage data describes the force or pressure exerted on a charge as it moves through a cable, and is measured in volts (V). A digital voltmeter is an electrical measuring instrument used to measure voltage, typically in high-voltage power supplies and high-voltage equipment such as high-voltage cables. Voltage data is obtained by connecting the electric field probe of the digital voltmeter to the cable, and then the digital voltmeter measures the voltage.

[0037] Current data is a measure of the amount of charge passing through the cross-section of a cable conductor per unit time, measured in amperes (A). A current transformer is an instrument that converts a large current into a smaller current based on the principle of electromagnetic induction. It consists of a closed iron core and windings. Current data can be obtained by passing a cable through the current transformer, which induces and reduces the current in the cable. This reduced current is then transmitted to an internal ammeter for measurement. The measuring instrument displays the actual measurement result multiplied by a certain factor to obtain the grounding current measurement result.

[0038] The feature construction module 120 may be composed of a computer microprocessor chip, etc., and is used to construct cable data features based on voltage data and current data.

[0039] Cable data characteristics can include average value, peak value, root mean square value, phase difference, spectral characteristics, waveform characteristics, harmonic characteristics, transient characteristics, and statistical characteristics.

[0040] Specifically, by calculating the average value of voltage and current data, the overall level of the voltage and current data can be represented; by finding the maximum and minimum values ​​of voltage and current data, the peak size and fluctuation range of the voltage and current data can be reflected; by calculating the root mean square value of voltage and current data, the effective value of the voltage and current data can be reflected; by calculating the phase difference between voltage and current data, the relationship between the voltage and current data can be analyzed; by performing Fourier transform on voltage and current data, they can be converted into a frequency domain representation, from which information about frequency components, such as dominant frequencies and spectral energy distribution, can be extracted; by analyzing the waveform shape of voltage and current data, some specific features, such as rise time, fall time, periodicity, and pulse width, can be extracted; by performing harmonic analysis on voltage and current data, the existence and influence of harmonic components can be detected and quantified; by analyzing voltage and current data, transient behavior, such as instantaneous changes and transient processes, can be captured; in addition to the above features, statistical characteristics of voltage and current, such as variance, standard deviation, skewness, and kurtosis, can be calculated to describe the distribution and variation characteristics of voltage and current data.

[0041] Techniques such as dimensionality reduction, feature selection, and pattern recognition can also be used to extract and utilize useful information from voltage and current data. Specifically, dimensionality reduction is the process of reducing the dimensionality of data, aiming to retain important information while reducing redundancy and noise; feature selection is the process of selecting the most relevant or informative subset of features from the original feature set, with the goal of reducing feature dimensionality while retaining features useful for predicting the target variable; pattern recognition is a process of identifying and learning latent patterns or regularities from data, and is one of the key technologies in machine learning and data mining.

[0042] The data analysis module 130, which may consist of a computer microprocessor chip, is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0043] The matching method can be to calculate the similarity between each feature in the pre-built stage features of each fire stage and the corresponding feature in the cable data features, and calculate the average of each similarity as the overall similarity between the cable data features and the pre-built stage features of each fire stage. If the highest overall similarity exceeds 90%, the match is determined to be successful, and the fire stage corresponding to the overall similarity is determined to be the current fire stage of the cable. If the highest similarity does not exceed 90%, the match is determined to be unsuccessful, and the cable is determined to have no fire hazard.

[0044] Optionally, the fire stages include: the fire incubation stage, the fire occurrence stage, the fire suppression stage, and the fire termination stage.

[0045] The fire incubation period can refer to the time before a fire occurs. During the fire incubation period, certain conditions and factors may lead to a fire, such as dry weather, high cable temperature, high temperature of the cable's surrounding environment, and increased oxygen concentration.

[0046] The fire initiation stage can refer to the time when the flame begins to burn. During this stage, the ignition source encounters sufficient heat, oxygen, and combustible material, allowing the flame to continue burning. After a fire starts, the flame can spread rapidly, producing smoke, high temperatures, and other fire-related hazards.

[0047] The fire reduction phase refers to the period during which the fire gradually diminishes. During this phase, the fire stops spreading and the source of the fire gradually weakens.

[0048] The fire-ending stage can refer to the time when a fire is completely extinguished. In this stage, the fire source has been completely extinguished, and there are no further dangers such as flames or smoke.

[0049] The advantage of this approach is that by dividing the fire into stages, staff can quickly understand the general situation of the fire and take timely and appropriate action on the cable sections at each stage.

[0050] In this application example, the operating parameter acquisition module is used to acquire voltage and current data of the cable during operation according to a preset cycle; the feature construction module is used to construct cable data features based on the voltage and current data; and the data analysis module is used to match the cable data features with pre-constructed stage features of each fire stage. If the match is successful, the fire stage in which the cable is located is determined. This technical solution, by constructing cable data features based on the cable's operating parameters, can quickly extract useful information for fire detection. By matching the cable data features with the stage features of each fire stage, it can determine whether the current cable has a fire hazard and its current fire stage, improving detection efficiency and accuracy, and helping personnel to take timely and effective action.

[0051] Example 2

[0052] Figure 2 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 2 of this application. This solution makes further improvements based on the above embodiments, specifically: the device further includes a stage characteristic determination module, which is used to: acquire real change data of the operating parameters of various cables at each stage of a real fire scenario; determine experimental change data of the operating parameters of various cables at each stage of a fire through fire simulation experiments; calibrate the real change data and the experimental change data based on the same operating parameters; and determine the stage characteristics of the operating parameters of various cables at each stage of a fire based on the calibration results of the same parameters.

[0053] like Figure 2 As shown, the device includes:

[0054] The working parameter acquisition module 210 is used to acquire voltage and current data of the cable during operation according to a preset cycle;

[0055] Feature construction module 220 is used to construct cable data features based on the voltage data and the current data;

[0056] The data analysis module 230 is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0057] The stage characteristic determination module 240 is used to: acquire real change data of the working parameters of various cables in each fire stage in a real fire scenario; determine experimental change data of the working parameters of various cables in each fire stage through fire simulation experiments; calibrate the real change data and the experimental change data based on the same working parameters; and determine the stage characteristics of the working parameters of various cables in each stage of the fire occurrence based on the same parameter calibration results.

[0058] One way to obtain real change data is to use a current transformer to obtain current data of various cables in a real fire scenario at a preset cycle, and to use a digital voltmeter to obtain voltage data of various cables in a real fire scenario at a preset cycle.

[0059] The methods for obtaining experimental change data include using current transformers to acquire current data of various cables in the fire simulation experiment at preset intervals, and using digital voltmeters to acquire voltage data of various cables in the fire simulation experiment at preset intervals. The fire simulation experiment simulates a fire by constructing a scaled-down physical model. This physical model can include various cables, combustible materials, smoke generators, and sensors to simulate the occurrence, spread, and smoke generation processes of a fire.

[0060] Because real fire scenarios are highly variable, real change data may not be able to be completely and clearly divided into four fire stages. Therefore, it is necessary to combine real change data with experimental change data for calibration to obtain more accurate change data. The resulting change data is the calibration result.

[0061] The calibration method can involve removing invalid data from the actual data based on experimental data changes, and then calculating the average of the actual and experimental data changes at each time point on the time axis as the calibration result. Invalid data changes can be caused by unexpected events in a real fire scenario, such as firefighting operations by outside personnel or sudden explosions of cable-related objects.

[0062] The method for determining the stage characteristics of various cable operating parameters at different stages of a fire can be as follows: The timeline is divided into four fire stages based on the fire performance at each time point on the calibration results timeline, and stage characteristics are constructed based on the operating parameters within each of the four fire stages. The method for constructing these stage characteristics is consistent with the method for constructing cable data characteristics described in Example 1, and will not be repeated here to avoid repetition.

[0063] The advantage of this technical solution is that by calibrating real change data and experimental change data, the accuracy of the detection results can be improved. By determining the stage characteristics of the operating parameters of various cables at each stage of a fire based on the calibration results of the same parameters, a data basis can be provided for determining the fire stage in which the operating cable is located.

[0064] Example 3

[0065] Figure 3 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 3 of this application. This solution makes further improvements based on the above embodiments. Specifically, the improvement is that the stage feature determination module is further configured to: after calibrating the real change data and the experimental change data based on the same operating parameters, for the different operating parameters included in the fire simulation experiment but not included in the real fire scenario, interpolate according to the same parameter calibration results to obtain the stage features of the different operating parameters at each stage of the fire occurrence.

[0066] like Figure 3 As shown, the device includes:

[0067] The working parameter acquisition module 310 is used to acquire voltage and current data of the cable during operation according to a preset cycle;

[0068] Feature construction module 320 is used to construct cable data features based on the voltage data and the current data;

[0069] The data analysis module 330 is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0070] The stage characteristic determination module 340 is used to: acquire real change data of the working parameters of various cables in each fire stage in a real fire scenario; determine experimental change data of the working parameters of various cables in each fire stage through fire simulation experiments; calibrate the real change data and the experimental change data based on the same working parameters; and determine the stage characteristics of the working parameters of various cables in each stage of the fire based on the same parameter calibration results.

[0071] The stage feature determination module 340 is further configured to: after calibrating the real change data and the experimental change data based on the same working parameters, for the different working parameters included in the fire simulation experiment but not included in the real fire scenario, interpolate according to the same parameter calibration results to obtain the stage features of the different working parameters at each stage of the fire occurrence.

[0072] Due to the real-world conditions of fire scenarios, actual change data cannot be as comprehensive as experimental change data. Therefore, there may be working parameter changes that are included in experimental change data but not in actual change data. These working parameters are called differential working parameters.

[0073] Interpolation can be performed by establishing a Cartesian coordinate system with the working parameters on the horizontal axis and the calibration results on the vertical axis. Points are marked in this coordinate system based on the calibration results for each working parameter. An interpolation algorithm is then used to connect these points into a smooth curve, thus determining the calibration results corresponding to the differences in working parameters. The interpolation algorithm can be a numerical analysis method used to estimate values ​​between discrete data points by constructing a continuous function. Common interpolation algorithms include linear interpolation, polynomial interpolation, spline interpolation, Kriging interpolation, and radial basis function interpolation.

[0074] The method for obtaining the stage characteristics of the differential operating parameters at each stage of a fire can be by constructing stage characteristics based on the obtained calibration results. The method for constructing stage characteristics is consistent with the method for constructing cable data characteristics described in Embodiment 1, and will not be repeated here to avoid repetition.

[0075] The advantage of this technical solution is that by interpolating based on the calibration results of the same parameters, the stage characteristics of different working parameters at each stage of a fire can be obtained. This provides a more comprehensive understanding of the stage characteristics of various working parameters at each stage of a fire, thereby improving the accuracy and efficiency of the detection results.

[0076] Example 4

[0077] Figure 4 This is a schematic diagram of the fire detection device based on cable operating parameters provided in Embodiment 4 of this application. This solution makes a further improvement on Embodiment 2, specifically: the stage characteristic determination module is further configured to: after calibrating the actual change data and the experimental change data based on the same operating parameters, for the different operating parameters included in the fire simulation experiment but not included in the real fire scenario, calculate the stage characteristics of the different operating parameters at each stage of the fire occurrence based on the transformation factor of the experimental change data according to the same parameter calibration results.

[0078] like Figure 4 As shown, the device includes:

[0079] The working parameter acquisition module 410 is used to acquire voltage and current data of the cable during operation according to a preset cycle;

[0080] Feature construction module 420 is used to construct cable data features based on the voltage data and the current data;

[0081] The data analysis module 430 is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0082] The stage characteristic determination module 440 is used to: acquire real change data of the working parameters of various cables in each fire stage in a real fire scenario; determine experimental change data of the working parameters of various cables in each fire stage through fire simulation experiments; calibrate the real change data and the experimental change data based on the same working parameters; and determine the stage characteristics of the working parameters of various cables in each stage of the fire based on the same parameter calibration results.

[0083] The stage feature determination module 440 is further configured to: after calibrating the real change data and the experimental change data based on the same working parameters, for the different working parameters included in the fire simulation experiment but not included in the real fire scenario, calculate the stage features of the different working parameters at each stage of the fire occurrence based on the transformation factor of the experimental change data according to the same parameter calibration result.

[0084] The transformation factor of the calibration results with the same parameters to the experimental variation data can be the ratio of the calibration results with the same parameters to the experimental variation data.

[0085] The method for calculating the stage characteristics of the differential working parameters at each stage of a fire can be to determine the factor gradient based on the transformation factor of the experimental change data according to the calibration results of the same parameters, and to determine the transformation factor of the differential working parameters based on the gradient position of the differential working parameters in two adjacent same working parameters.

[0086] Optionally, the stage feature determination module 440 is specifically used to: determine the factor gradient based on the transformation factor of the experimental change data according to the same parameter calibration result; and determine the transformation factor of the different working parameter based on the gradient position of the different working parameter in two adjacent same working parameters.

[0087] The gradient, a concept in vector calculus, describes the rate of change and direction of change of a function at a point. The gradient points in the direction of the fastest change of the function at that point, and its magnitude represents the magnitude of the rate of change. Specifically, the multiple gradient describes the rate of change and direction of change of a factor over a given operating parameter. The multiple gradient can be determined using numerical methods. Common numerical methods include the finite difference method and the adaptive differentiation method. The finite difference method estimates the gradient by calculating the difference between the function and its preceding and following values ​​at a point, while the adaptive differentiation method calculates the gradient by plotting the function's differential equation.

[0088] The transformation factor of the differential operating parameters can be determined by calculating the average multiple gradient of two adjacent identical operating parameters, calculating the average transformation factor of two adjacent identical operating parameters, and multiplying the average multiple gradient and the average transformation factor to obtain the transformation factor of the differential operating parameters.

[0089] The advantage of this technical solution is that by determining the transformation factor of the experimental change data based on the same parameter calibration results, the transformation factor of the differential working parameters can be determined, which can provide a data basis for obtaining the stage characteristics of the differential working parameters at each stage of the fire.

[0090] The advantage of this configuration in this embodiment is that by transforming the experimental variation data by the same parameter calibration results, the stage characteristics of the different working parameters at each stage of the fire can be obtained, which can improve the accuracy and efficiency of the detection results.

[0091] Example 5

[0092] Figure 5 This is a flowchart illustrating the fire detection method based on cable operating parameters provided in Embodiment 5 of this application. Figure 5 As shown, the specific steps include the following:

[0093] S501. The working parameter acquisition module acquires the voltage and current data of the cable during operation according to a preset cycle.

[0094] S502. Construct cable data features based on the voltage data and the current data using the feature construction module;

[0095] S503. The data analysis module matches the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

[0096] In this embodiment, a working parameter acquisition module acquires voltage and current data of the cable during operation at a preset cycle; a feature construction module constructs cable data features based on the voltage and current data; and a data analysis module matches the cable data features with pre-constructed stage features for each fire stage. If a match is successful, the fire stage in which the cable is located is determined. This fire detection method based on cable working parameters, by constructing cable data features based on the cable's working parameters, can quickly extract useful information for fire detection. By matching the cable data features with the stage features of each fire stage, it can determine whether the cable currently has a fire hazard and its current fire stage, improving detection efficiency and accuracy, and helping personnel to take timely and effective action.

[0097] The fire detection method based on cable operating parameters provided in this application embodiment has the same functional modules and beneficial effects as the fire detection device based on cable operating parameters provided in the above embodiments. To avoid repetition, it will not be described again here.

[0098] Example 6

[0099] like Figure 6 As shown, this application embodiment also provides an electronic device 600, including a processor 601, a memory 602, and a program or instructions stored in the memory 602 and executable on the processor 601. When the program or instructions are executed by the processor 601, they implement the various processes of the above-described fire detection device embodiment based on cable working parameters and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0100] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0101] Example 7

[0102] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described fire detection device embodiment based on cable operating parameters and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0103] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0104] Example 8

[0105] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described fire detection device embodiment based on cable working parameters, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0106] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0107] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0108] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0109] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application 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 this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0110] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A fire detection device based on cable operating parameters, characterized in that, The device includes: The working parameter acquisition module is used to acquire voltage and current data of the cable during operation according to a preset cycle; A feature construction module is used to construct cable data features based on the voltage data and the current data; The device further includes a stage characteristic determination module, which is used to: acquire real change data of the working parameters of various cables for each stage of a real fire scenario; determine experimental change data of the working parameters of various cables for each stage of a fire through fire simulation experiments; calibrate the real change data and the experimental change data based on the same working parameters; and determine the stage characteristics of the working parameters of various cables at each stage of a fire based on the calibration results of the same working parameters. The stage feature determination module is further configured to: after calibrating the real change data and the experimental change data based on the same working parameters, for the different working parameters included in the fire simulation experiment but not included in the real fire scenario, calculate the stage features of the different working parameters at each stage of the fire occurrence based on the transformation factor of the experimental change data according to the calibration result of the same working parameters. The data analysis module is used to match the cable data characteristics with the pre-built stage characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

2. The cable operating parameter based fire detection apparatus of claim 1, wherein, The fire stages include: the fire incubation stage, the fire occurrence stage, the fire suppression stage, and the fire termination stage.

3. The cable operating parameter based fire detection apparatus of claim 1, wherein, The stage feature determination module is also used for: After calibrating the real change data and the experimental change data based on the same working parameters, for the different working parameters included in the fire simulation experiment but not included in the real fire scenario, interpolation is performed according to the calibration results of the same working parameters to obtain the stage characteristics of the different working parameters at each stage of the fire occurrence.

4. The fire detection device based on cable operating parameters according to claim 1, characterized in that, The stage feature determination module is specifically used for: Based on the transformation factor of the experimental change data according to the calibration results of the same working parameters, determine the factor gradient; The transformation factor of the differential operating parameter is determined based on the gradient position of the differential operating parameter in two adjacent identical operating parameters.

5. A fire detection method based on cable operating parameters, characterized in that, The method includes: The operating parameter acquisition module acquires voltage and current data of the cable during operation according to a preset cycle; The feature construction module constructs cable data features based on the voltage and current data. The module obtains real-world variation data of the operating parameters of various cables at each stage of a real fire scenario through a phase feature determination module; it also determines experimental variation data of the operating parameters of various cables at each stage of a fire through fire simulation experiments; the module calibrates the real variation data and the experimental variation data based on the same operating parameters; and it determines the phase characteristics of the operating parameters of various cables at each stage of a fire based on the calibration results of the same operating parameters. The stage feature determination module determines the stage features of the working parameters of various cables at each stage of a fire based on the calibration results of the same working parameters. This includes: for different working parameters included in the fire simulation experiment but not included in the real fire scenario, calculating the stage features of the different working parameters at each stage of a fire based on the transformation factor of the experimental change data according to the calibration results of the same working parameters. The data analysis module matches the cable data characteristics with the pre-built characteristics of each fire stage. If the match is successful, the fire stage in which the cable is located is determined.

6. The fire detection method based on cable operating parameters according to claim 5, characterized in that, The fire stages include: the fire incubation stage, the fire occurrence stage, the fire suppression stage, and the fire termination stage.

7. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the fire detection method based on cable operating parameters as described in any one of claims 5-6.

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