Extremely early fire detection method and device for cable tunnel and computer device

Abstract

The invention discloses an extremely early fire detection method and device for a cable tunnel and a computer device. The method comprises the following steps: collecting an air sample in a target cable tunnel; the air sample is placed in a preset electric field area, and the movement speed corresponding to particles in the air sample is obtained; on the basis of the corresponding relation between the preset particle type and the speed range, the particle type in the air sample is judged according to the movement speed corresponding to the particles in the air sample; and repeating the above steps, and determining that the target cable tunnel is in the extremely early stage of the fire disaster under the condition that the continuously detected particle types in the air sample comprise that the number of times of cable pyrolysis particles exceeds a preset threshold value. The technical problems that dust particles, water molecules and cable pyrolysis particles are difficult to distinguish in the extremely early fire detection of the cable tunnel at present, and the judgment accuracy is low due to the interference of the environmental factors are solved.

Description

Technical Field

[0001] This invention relates to the field of power facility safety inspection, and more specifically, to a method, equipment, and computer device for early fire detection in cable tunnels. Background Technology

[0002] Cable tunnels, as a crucial component of power transmission systems, are vital for ensuring urban power supply. Traditional early fire detection technologies face significant challenges in cable tunnel applications, particularly under extreme environmental conditions such as high humidity and high dust concentrations, where their effectiveness is greatly reduced. Currently, most cable tunnels employ aspirating fire detection technology, which uses air sampling and laser scattering or optical sensing principles to detect potential early fire precursors, namely pyrolysis particles. However, this type of technology has significant drawbacks and limitations in practical applications.

[0003] The internal environment of cable tunnels is complex, characterized by high humidity causing water molecules to condense and form mist, as well as significant dust generated during tunnel construction and routine maintenance. These environmental factors severely interfere with the detection of pyrolysis particles, resulting in low accuracy of detection results and an inability to promptly predict fire risks, posing certain safety hazards.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a method, device, and computer for early fire detection in cable tunnels, which at least solves the technical problem that current early fire detection methods in cable tunnels are difficult to distinguish between dust particles, water molecules, and cable pyrolysis particles, and are easily affected by these environmental factors, resulting in low accuracy.

[0006] According to one aspect of the present invention, a method for early fire detection in a cable tunnel is provided, comprising: collecting an air sample from a target cable tunnel; placing the air sample in a preset electric field region and obtaining the velocity of particles in the air sample; determining the particle type in the air sample based on a preset correspondence between particle type and velocity range and the velocity of particles in the air sample; repeating the above steps, and determining that the target cable tunnel is in the early stage of a fire when the number of times the particle type in the air sample including cable pyrolysis particles is continuously detected exceeds a preset threshold.

[0007] Optionally, particle samples corresponding to various particle types are collected from the sample cable tunnel; the particle samples corresponding to various particle types are placed in a preset electric field region, and the particle velocities of the particle samples corresponding to various particle types are detected; based on the particle velocities of the particle samples corresponding to various particle types, the velocity ranges corresponding to various particle types are determined; and based on the velocity ranges corresponding to various particle types, the correspondence is determined.

[0008] Optionally, the number of particles corresponding to each of the various particle types in the air sample is detected; if the number of times that the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold and the number of particles corresponding to cable pyrolysis particles increases, it is determined that the target cable tunnel is in the very early stage of a fire.

[0009] Optionally, if it is determined that the target cable tunnel is in the very early stage of a fire, an early warning message is generated and displayed.

[0010] According to another aspect of the present invention, an early fire detection device for cable tunnels is also provided, comprising: a particle acquisition module for acquiring air samples in a target cable tunnel; an electric field generation module for generating an electric field; a velocity detection module for detecting the respective motion velocities of various particles in the air sample within the electric field; and a signal processing module for determining the particle type in the air sample based on a preset particle-velocity correspondence and detecting whether the number of times the particle type in the air sample continuously includes cable pyrolysis particles exceeds a preset threshold.

[0011] Optionally, the signal processing module is also used to generate an early warning prompt when the target cable tunnel is detected to be in the very early stage of a fire; the display module is used to display the early warning prompt.

[0012] According to another aspect of the present invention, a device for early fire detection in cable tunnels is also provided, comprising: a collection module for collecting air samples from a target cable tunnel; an acquisition module for placing the air sample in a preset electric field region and acquiring the velocity of particles in the air sample; a judgment module for determining the particle type in the air sample based on a preset correspondence between particle type and velocity range, and according to the velocity of particles in the air sample; and a determination module for repeating the above steps, and determining that the target cable tunnel is in the early stage of a fire when the number of times the particle type in the air sample including cable pyrolysis particles is continuously detected exceeds a preset threshold.

[0013] According to another aspect of the present invention, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored program, wherein, when the program is running, it controls the device where the non-volatile storage medium is located to execute any of the above-described methods for early fire detection in cable tunnels.

[0014] According to another aspect of the present invention, a computer device is also provided, the computer device including a processor for running a program, wherein the program executes any of the above-described methods for early fire detection in cable tunnels.

[0015] According to another aspect of the present invention, a computer program product is also provided, comprising a computer program that, when executed by a processor, implements any of the above-described methods for early fire detection in cable tunnels.

[0016] In this embodiment of the invention, an early-stage fire detection method for cable tunnels is adopted. This involves collecting air samples from the target cable tunnel; placing the air samples in a preset electric field region to obtain the velocity of particles in the air samples; determining the particle type in the air samples based on a preset correspondence between particle types and velocity ranges; repeating the above steps until the number of times the particle type in the air samples, including cable pyrolysis particles, is continuously detected exceeds a preset threshold, thus determining that the target cable tunnel is in the early stage of a fire. This achieves the goal of accurately distinguishing different particle types in the air, thereby improving the accuracy of early-stage fire detection. Furthermore, it solves the technical problem that current early-stage fire detection methods for cable tunnels struggle to distinguish between dust particles, water molecules, and cable pyrolysis particles, and are easily affected by these environmental factors, leading to low accuracy. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0018] Figure 1 A hardware block diagram of a computer terminal for implementing a method for very early fire detection in cable tunnels is shown.

[0019] Figure 2 This is a flowchart illustrating a method for early fire detection in cable tunnels according to an embodiment of the present invention.

[0020] Figure 3 This is a schematic diagram of the structure of an early fire detection device for cable tunnels provided according to an embodiment of the present invention;

[0021] Figure 4 This is a structural block diagram of a cable tunnel fire early detection device provided according to an embodiment of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] According to an embodiment of the present invention, a method embodiment for early fire detection in cable tunnels is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0025] The method embodiment provided in Embodiment 1 of this application can be executed on a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal for implementing a method for very early fire detection in cable tunnels is shown. Figure 1 As shown, the computer terminal 10 may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0026] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0027] The memory 104 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the early fire detection method for cable tunnels in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby implementing the aforementioned application method for early fire detection in cable tunnels. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0028] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10.

[0029] Figure 2 This is a flowchart illustrating a method for early fire detection in cable tunnels according to an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes the following steps:

[0030] Step S202: Collect air samples from the target cable tunnel.

[0031] In this step, multiple representative monitoring points can be selected within the cable tunnel, including but not limited to the tunnel entrance, middle, and exit, as well as areas near cable heat sources (such as cable joints and densely populated cable areas). At each sampling point, detailed environmental conditions should be recorded, including temperature, humidity, and air pressure. This data is crucial for subsequent analysis of particle motion characteristics. Specifically, a sampling device integrating high-efficiency filtration, constant-flow extraction, and sealed storage functions can be designed. The device must be made of non-metallic materials to prevent electrostatic interference. A high-efficiency particulate air (HEPA) filter should be installed at the extraction inlet to remove large dust particles, ensuring that only tiny particles enter the analysis system. A constant-flow extraction pump can be used to ensure a constant volume of air extracted each time, with a moderate flow rate to avoid excessive disturbance to the electric field and particle motion.

[0032] Step S204: Place the air sample in a preset electric field region and obtain the motion velocity of the particles in the air sample.

[0033] In this step, placing the air sample in a pre-defined electric field region ensures that the electric field generating module can stably generate a uniform electric field of a predetermined intensity. The selection of the electric field intensity should be based on previous experimental research to ensure effective differentiation of the velocities of different types of particles. Environmental variables, such as temperature and humidity, should be controlled as much as possible within the electric field region to minimize the impact of external factors on particle velocity. The air sample is smoothly introduced into the electric field region using the air guide pipe of the particle acquisition module. The pipe design should avoid particle collisions, adhesion, or sudden velocity changes, ensuring that the particles enter the electric field in a natural state. Controlling the air sample's flow rate and velocity ensures that the particles in the sample are fully exposed to the electric field without being excessively aggregated or dispersed, which helps improve the accuracy of velocity detection. High-precision laser Doppler velocimetry or other velocity detection methods can be used to monitor the particle velocity in the electric field in real time. These sensors typically have high temporal and spatial resolution, capable of capturing the motion information of minute particles. The sampling frequency of the velocity detection module should be sufficiently high, such as 100Hz, to capture all the details of particle motion. Simultaneously, the collected velocity data is stored in real time for subsequent analysis.

[0034] Step S206: Based on the preset correspondence between particle type and velocity range, determine the particle type in the air sample according to the corresponding motion velocity of the particles in the air sample.

[0035] This step involves analyzing the velocity of particles in an air sample based on a pre-defined correspondence between particle types and velocity ranges to determine their type. A velocity threshold range can be established for each particle type (e.g., water molecules, dust particles, cable pyrolysis particles), establishing a correspondence between particle type and velocity range. These thresholds will be used for subsequent particle screening. The extracted particle velocity characteristics are compared with the pre-defined particle type velocity thresholds. These pre-defined thresholds are based on extensive experimental data and theoretical models. For example, the velocity range for water molecules is v1-v2; for dust particles, v3-v4; and for cable pyrolysis particles, v5-v6, with v5 > v4, ensuring that the velocity ranges of cable pyrolysis particles do not overlap with those of water molecules and dust particles. Based on the particle's velocity, if its velocity characteristics fall within the pre-defined threshold range for cable pyrolysis particles, the particle is identified as a cable pyrolysis particle; otherwise, it is identified as another type of particle (e.g., water molecules or dust).

[0036] To improve the accuracy and reliability of monitoring, the presence of cable pyrolysis particles can be confirmed only when particles with velocity characteristics falling within the threshold range of cable pyrolysis particles are detected multiple times (e.g., 3 times) consecutively, and the number of particles shows an upward trend.

[0037] Step S208: Repeat the above steps. If the number of times the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold, it is determined that the target cable tunnel is in the very early stage of a fire.

[0038] In this step, when the monitoring system continuously detects more than a preset threshold the number of times particle types, including cable pyrolysis particles, are detected in the air sample, it can be determined that the target cable tunnel may be in the very early stage of a fire. Specifically, at system startup or the beginning of each monitoring cycle, a particle type detection counter is initialized to record the number of consecutive detections of cable pyrolysis particles. The monitoring system should continuously monitor the particle velocity in the air sample at set time intervals (e.g., every minute) and determine the particle type based on velocity characteristics. Each time a particle type is detected, the system checks whether it is a cable pyrolysis particle; if so, the counter increments; otherwise, the counter is reset to 0. A preset threshold for the number of consecutive detections is set, for example, three consecutive detections of cable pyrolysis particles. This threshold is set based on previous experimental data to ensure that the system can respond promptly to potential fire signals while reducing false alarms. When the counter reaches or exceeds the preset threshold, the system determines that the target cable tunnel is in the very early stage of a fire and immediately triggers an alarm mechanism, sending the warning information to the monitoring center and relevant emergency response teams via the communication module.

[0039] After continuously detecting pyrolysis particles from the cable, the trend in particle count can be further analyzed. If the particle count shows a continuous upward trend, this further strengthens the early detection of a fire and also suggests that the fire may be gradually intensifying.

[0040] By following the steps above, it is possible to accurately determine whether the target cable tunnel is in the very early stage of a fire, trigger an early warning in a timely manner, and provide a scientific basis for fire prevention and early response.

[0041] Through the above steps, the goal of accurately distinguishing different types of particles in the air can be achieved, thereby improving the accuracy of early fire detection. This solves the current technical problem that early fire detection in cable tunnels is difficult to distinguish between dust particles, water molecules, and cable pyrolysis particles, and is easily affected by these environmental factors, resulting in low accuracy.

[0042] As an optional embodiment, particle samples corresponding to various particle types are collected from the sample cable tunnel; the particle samples corresponding to various particle types are placed in a preset electric field region, and the particle velocities of the particle samples corresponding to various particle types are detected; based on the particle velocities of the particle samples corresponding to various particle types, the velocity ranges corresponding to various particle types are determined; based on the velocity ranges corresponding to various particle types, the correspondence is determined.

[0043] Optionally, particle samples of various particle types are collected from the sample cable tunnel, and their velocities in an electric field are measured to determine the velocity ranges corresponding to each particle type. A typical cable tunnel environment can be selected to ensure that the collected particle samples represent particle types under common conditions, including but not limited to water molecules, dust particles, and cable pyrolysis particles. A high-efficiency particle collection device is employed to ensure accurate collection of different types of particle samples while avoiding external contamination and the introduction of other particle types. The collected particle samples are separated using physical or chemical methods to ensure that each particle type can be independently analyzed and detected. A pre-defined uniform electric field region is created; the electric field strength should be determined experimentally beforehand to ensure effective differentiation of the movement velocities of different particle types. The separated particle samples are introduced one by one into the electric field region to ensure that the particles in the sample fully exhibit their motion characteristics in the electric field. Laser Doppler velocimetry or other high-precision velocity detection methods are used to capture the particle movement velocity in the electric field in real time. Detailed data on the movement velocity of each particle type in the electric field region are recorded, including average velocity and velocity distribution range. Statistical analysis was performed on the collected velocity data to determine the velocity characteristics of each particle type in the electric field. Based on the statistical results, velocity range thresholds were set for each particle type to ensure that the thresholds could effectively distinguish between water molecules, dust particles, and cable pyrolysis particles. Multiple experiments were conducted to cross-validate whether the velocities of different particle types remained stable within the set threshold ranges, ensuring the accuracy and reliability of the threshold settings. Based on the experimental results, the velocity thresholds were adjusted as necessary to optimize the boundaries between different particle types and reduce the possibility of misclassification.

[0044] Specifically, various particle samples, including water molecules, dust particles, and pyrolysis particles from cables, were collected. These samples were then placed within a stable and pre-defined electric field region, and a velocity detection module was used to precisely measure the velocity of each particle type. Based on the experimentally obtained particle velocity data, velocity ranges for each particle type were established: v1 to v2 for water molecules, v3 to v4 for dust particles, and v5 to v6 for pyrolysis particles, with v5 being greater than v4. These ranges did not overlap, ensuring accurate differentiation of particle types. Finally, based on these velocity ranges, a correspondence between particle type and velocity was established, enabling the monitoring system to effectively filter and identify potential fire alarm signals originating from cable pyrolysis based on the particle's velocity characteristics in the electric field. This monitoring scheme based on electric field motion characteristics significantly enhances the system's ability to resist interference from complex environments, reduces false alarm rates, and improves monitoring sensitivity and response speed.

[0045] As an optional embodiment, the number of particles corresponding to various particle types in the air sample is detected; if the number of times that the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold and the number of particles corresponding to cable pyrolysis particles increases, it is determined that the target cable tunnel is in the very early stage of fire.

[0046] Optionally, the system detects the number of particles of various particle types in the air sample, and determines that the target cable tunnel is in the very early stage of a fire if the number of consecutive detections of cable pyrolysis particles exceeds a preset threshold and their number increases. Air samples can be continuously collected and analyzed, using a velocity detection module to capture and record the movement velocity characteristics of each particle type in real time. Particles are classified according to their velocity range, and cable pyrolysis particles and other particle types are counted separately, recording the number of particles in each monitoring result. A threshold for the number of consecutive detections can be preset, such as three consecutive detections of cable pyrolysis particles, to reduce false alarms. In addition to determining the number of consecutive detections, the changing trend of the number of cable pyrolysis particles also needs to be analyzed to ensure that an alarm is triggered when the number of particles increases rather than when they appear randomly.

[0047] When the number of times cable pyrolysis particles are detected exceeds a preset threshold, and the number of cable pyrolysis particles shows an upward trend during this period, it is determined that the target cable tunnel may be in the very early stage of a fire.

[0048] When the number of times the system continuously detects particles containing cable pyrolysis particles exceeds a preset threshold, and the number of these particles shows an upward trend, this technology can accurately determine that the target cable tunnel may be in the very early stages of a fire. This determination mechanism is based on the particle motion characteristics in an electric field, achieving efficient identification of cable pyrolysis particles through precise velocity detection and quantity statistics. This optional embodiment significantly improves the sensitivity and reliability of monitoring, reduces the false alarm rate, and is of great significance for the timely detection and handling of potential fire hazards. In practical applications, this technology can provide more accurate early warnings for fire prevention and control in cable tunnels, effectively improving the safety management level of tunnels.

[0049] As an optional embodiment, if it is determined that the target cable tunnel is in the very early stage of a fire, an early warning is generated and displayed.

[0050] Optionally, when the monitoring system determines that the target cable tunnel is in the very early stage of a fire, it will automatically generate an early warning and display it immediately. This process is triggered after the core module of the monitoring system completes identification and judgment, specifically when the particle movement velocity characteristics match the preset cable pyrolysis particle velocity threshold, and the number of particles detected reaches or exceeds the set threshold three times consecutively. The early warning generation and display function ensures that timely alerts can be issued to relevant personnel in the very early stage of a fire, providing a critical time window for taking emergency measures and effectively preventing the spread of the fire and potential greater losses. The implementation of this function is based on the monitoring system's accurate analysis of the particle electric field motion characteristics in complex environments, demonstrating its high sensitivity and reliability in the field of cable tunnel fire monitoring. In other embodiments not shown, the system can also send the early warning information to a remote monitoring center via a wireless communication module, further enhancing the timeliness and scope of the early warning.

[0051] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0052] Through the above description of the embodiments, those skilled in the art can clearly understand that the early fire detection method for cable tunnels according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platform. Of course, it 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 the present invention, or the part that contributes to the prior art, can be embodied in the form of a 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 device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0053] According to embodiments of the present invention, an early fire detection device for cable tunnels is also provided. Figure 3 This is a schematic diagram of the structure of an early fire detection device for cable tunnels according to an embodiment of the present invention, as shown below. Figure 3As shown, it includes: a particle acquisition module for acquiring air samples from the target cable tunnel; an electric field generation module for generating an electric field; a velocity detection module for detecting the respective velocities of various particles in the air sample within the electric field; and a signal processing module for determining the particle type in the air sample based on a preset particle-velocity correspondence and detecting whether the number of times the particle type in the air sample continuously includes cable pyrolysis particles exceeds a preset threshold.

[0054] In this embodiment, an air sample is extracted from the target cable tunnel environment using a particle acquisition module. An electric field is then generated using an electric field generation module, and a velocity detection module accurately measures the velocity of different particles within this electric field. A signal processing module analyzes and identifies cable pyrolysis particles based on a pre-defined correspondence between particle type and velocity. Simultaneously, it continuously detects whether the number of cable pyrolysis particles reaches or exceeds a preset threshold, thereby determining whether to issue a fire warning signal. This device achieves efficient monitoring of cable tunnel fire hazards by accurately identifying the characteristic relationship between cable pyrolysis particles and their velocity in the electric field. It effectively reduces the false alarm rate, improves the accuracy and timeliness of warnings, and solves the performance problems of traditional fire detection technologies in complex environments, providing a more reliable technical guarantee for the safe operation of cable tunnels. This device is typically placed at the connection point between the cable and the cable support.

[0055] As an optional embodiment, the signal processing module is also used to generate an early warning prompt when the target cable tunnel is detected to be in the very early stage of a fire; the display module is used to display the early warning prompt.

[0056] Optionally, the signal processing module not only analyzes the velocity data of particles in the electric field to filter out pyrolysis particles from the cable, but also generates an early warning when the cable tunnel is detected to be in the very early stages of a fire. The display module visually presents the warning, ensuring that monitoring personnel can promptly notice potential fire risks. This integrated design effectively improves the timeliness and accuracy of fire warnings, reduces false alarms, and is of great significance for ensuring the safe operation of cable tunnels. Through continuous monitoring and intelligent analysis, the system can identify very early signs of a fire, providing a valuable time window for taking preventative measures and organizing evacuations. Simultaneously, the introduction of the display module enhances the visibility of information, making warning information more intuitive and readable, facilitating rapid response and handling, reducing the likelihood of fire accidents, and ensuring personnel safety and the stable operation of power facilities. In other embodiments not shown, the functions of the signal processing module and display module can be further expanded; for example, through network communication, warning information can be sent to a remote monitoring center in real time to achieve broader alarm notification and resource scheduling.

[0057] According to embodiments of the present invention, an early fire detection device for cable tunnels is also provided for implementing the above-described method for early fire detection in cable tunnels. Figure 4 This is a structural block diagram of an early fire detection device for cable tunnels according to an embodiment of the present invention, as shown below. Figure 4 As shown, the early fire detection device for the cable tunnel includes: a data acquisition module 402, an acquisition module 404, a judgment module 406, and a determination module 408. The early fire detection device for the cable tunnel will be described below.

[0058] The acquisition module 402 is used to collect air samples from the target cable tunnel.

[0059] The acquisition module 404, connected to the acquisition module 402, is used to place the air sample in a preset electric field region and acquire the motion velocity of the particles in the air sample.

[0060] The judgment module 406, connected to the acquisition module 404, is used to determine the particle type in the air sample based on the preset correspondence between particle type and velocity range and the corresponding motion velocity of the particles in the air sample.

[0061] The determination module 408, connected to the judgment module 406, is used to repeat the above steps. If the number of times the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold, the target cable tunnel is determined to be in the very early stage of a fire.

[0062] It should be noted that the aforementioned acquisition module 402, obtaining module 404, judging module 406, and determining module 408 correspond to steps S202 to S208 in the embodiments. Multiple modules implement the same instances and application scenarios as their corresponding steps, but are not limited to the content disclosed in the above embodiments. It should also be noted that the aforementioned modules, as part of the device, can run on the computer terminal 10 provided in the embodiments.

[0063] Embodiments of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one of a plurality of network devices in a computer network. The computer device includes a memory and a processor.

[0064] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the early fire detection method and device for cable tunnels in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the aforementioned early fire detection method for cable tunnels. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0065] The processor can access the information and application programs stored in the memory via the transmission device to perform the following steps: collect an air sample from the target cable tunnel; place the air sample in a preset electric field region and obtain the velocity of the particles in the air sample; based on a preset correspondence between particle types and velocity ranges, determine the particle type in the air sample according to the velocity of the particles in the air sample; repeat the above steps, and if the number of times the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold, determine that the target cable tunnel is in the very early stage of a fire.

[0066] Optionally, the processor may also execute program code for the following steps: collecting particle samples corresponding to various particle types from the sample cable tunnel; placing the particle samples corresponding to various particle types in a preset electric field region and detecting the particle velocities of the particle samples corresponding to various particle types; determining the velocity ranges corresponding to various particle types based on the particle velocities of the particle samples corresponding to various particle types; and determining the correspondence based on the velocity ranges corresponding to various particle types.

[0067] Optionally, the processor may also execute program code for the following steps: detecting the number of particles corresponding to various particle types in the air sample; and determining that the target cable tunnel is in the very early stage of a fire if the number of times the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold and the number of particles corresponding to cable pyrolysis particles increases.

[0068] Optionally, the processor may also execute program code that performs the following steps: generating an early warning prompt when it is determined that the target cable tunnel is in the very early stage of a fire; and displaying the early warning prompt.

[0069] This invention provides a method for early fire detection in cable tunnels. The method involves collecting air samples from the target cable tunnel; placing the air samples in a preset electric field region to obtain the velocity of particles in the air samples; determining the particle type in the air samples based on a preset correspondence between particle types and velocity ranges; repeating the above steps until the number of times the particle type in the air samples, including cable pyrolysis particles, is continuously detected exceeds a preset threshold, indicating that the target cable tunnel is in the early stage of a fire. This method achieves the goal of accurately distinguishing different particle types in the air, thereby improving the accuracy of early fire detection. It also solves the current technical problem that early fire detection in cable tunnels is difficult to distinguish between dust particles, water molecules, and cable pyrolysis particles, and is easily affected by these environmental factors, leading to low accuracy.

[0070] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a non-volatile storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0071] Embodiments of the present invention also provide a non-volatile storage medium. Optionally, in this embodiment, the aforementioned non-volatile storage medium can be used to store the program code executed by the early fire detection method for cable tunnels provided in the above embodiments.

[0072] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0073] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: collecting air samples from the target cable tunnel; placing the air samples in a preset electric field region and obtaining the motion velocity of the particles in the air samples; determining the particle type in the air samples based on a preset correspondence between particle types and velocity ranges and the motion velocity of the particles in the air samples; repeating the above steps, and determining that the target cable tunnel is in the very early stage of a fire when the number of times the particle type in the air samples includes cable pyrolysis particles exceeds a preset threshold.

[0074] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: collecting particle samples corresponding to various particle types from the sample cable tunnel; placing the particle samples corresponding to various particle types in a preset electric field region and detecting the particle velocities of the particle samples corresponding to various particle types; determining the velocity range corresponding to each of the various particle types based on the particle velocities of the particle samples corresponding to each of the various particle types; and determining the correspondence based on the velocity range corresponding to each of the various particle types.

[0075] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: detecting the number of particles corresponding to various particle types in the air sample; and determining that the target cable tunnel is in the very early stage of a fire when the number of times the particle type in the air sample, including cable pyrolysis particles, is continuously detected exceeds a preset threshold and the number of particles corresponding to cable pyrolysis particles increases.

[0076] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: generating an early warning prompt when it is determined that the target cable tunnel is in the very early stage of a fire; and displaying the early warning prompt.

[0077] Embodiments of the present invention also provide a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can: collect an air sample from a target cable tunnel; place the air sample in a preset electric field region and obtain the motion velocity corresponding to the particles in the air sample; based on a preset correspondence between particle types and velocity ranges, determine the particle type in the air sample according to the motion velocity corresponding to the particles in the air sample; repeat the above steps, and if the number of times the particle type in the air sample including cable pyrolysis particles is continuously detected exceeds a preset threshold, determine that the target cable tunnel is in the very early stage of a fire.

[0078] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0079] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0080] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0081] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0082] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0083] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0084] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for fire very early detection in a cable tunnel, characterized in that, The method comprises the following steps: collecting an air sample in a target cable tunnel; placing the air sample in a preset electric field region to obtain the motion speed of particles in the air sample; judging the particle type in the air sample based on a preset corresponding relationship between particle types and speed ranges according to the motion speed of particles in the air sample; repeating the above steps, and determining that the target cable tunnel is in the very early stage of fire when the number of times that the particle type in the air sample continuously includes cable pyrolysis particles exceeds a preset threshold.

2. The method of claim 1, wherein, The method further comprises the following steps: collecting particle samples corresponding to a plurality of particle types from a sample cable tunnel; placing the particle samples corresponding to the plurality of particle types in a preset electric field region to detect the particle speed of the particle samples corresponding to the plurality of particle types; determining the speed range corresponding to each of the plurality of particle types based on the particle speed of the particle samples corresponding to the plurality of particle types; determining the corresponding relationship based on the speed range corresponding to each of the plurality of particle types.

3. The method of claim 1, wherein, The method further comprises the following steps: detecting the number of particles corresponding to each of the plurality of particle types in the air sample; determining that the target cable tunnel is in the very early stage of fire when the number of times that the particle type in the air sample continuously includes cable pyrolysis particles exceeds a preset threshold and the number of particles corresponding to the cable pyrolysis particles increases.

4. The method of claim 1, wherein, The method further comprises the following steps: generating a warning prompt when it is determined that the target cable tunnel is in the very early stage of fire; displaying the warning prompt.

5. A fire very early detection device for a cable tunnel, characterized in that The method comprises the following steps: a particle collection module for collecting an air sample in a target cable tunnel; an electric field generation module for generating an electric field; a speed detection module for detecting the motion speed of a plurality of particles in the air sample in the electric field; a signal processing module for judging the particle type in the air sample based on a preset corresponding relationship between particles and speed and detecting whether the number of times that the particle type in the air sample continuously includes cable pyrolysis particles exceeds a preset threshold.

6. The apparatus of claim 5, wherein, The method further comprises the following steps: the signal processing module is further used to generate a warning prompt when it is detected that the target cable tunnel is in the very early stage of fire; a display module for displaying the warning prompt.

7. A device for fire very early detection of a cable tunnel, characterized in that The method comprises the following steps: a collection module for collecting an air sample in a target cable tunnel; an acquisition module for placing the air sample in a preset electric field region to obtain the motion speed of particles in the air sample; a judgment module for judging the particle type in the air sample based on a preset corresponding relationship between particle types and speed ranges according to the motion speed of particles in the air sample; a determination module for repeating the above steps, and determining that the target cable tunnel is in the very early stage of fire when the number of times that the particle type in the air sample continuously includes cable pyrolysis particles exceeds a preset threshold.

8. A non-volatile storage medium, comprising: The non-volatile storage medium comprises a stored program, wherein the program controls the device in which the non-volatile storage medium is located to perform the cable tunnel very early fire detection method of any one of claims 1 to 4 when the program is running.

9. A computer device, comprising: The method comprises the following steps: a memory and a processor, The memory stores a computer program; The processor is configured to execute the computer program stored in the memory, and the computer program, when executed, causes the processor to perform the method for fire very early detection of a cable tunnel according to any one of claims 1 to 4.

10. A computer program product comprising a computer program, characterized in that, The computer program, when executed by the processor, implements the method for fire very early detection of a cable tunnel according to any one of claims 1 to 4.

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