Fire extinguishing control method and device

Abstract

The present disclosure provides a fire extinguishing control method and device, belonging to the field of fire extinguishing, which comprises: inputting first fire information into a first prediction model to predict fire spread information of a target region; the first fire information is fire information of a fire region in the target region, the first prediction model is a fire spread prediction model, and the fire spread information comprises a plurality of fire spread regions and predicted fire starting times of each fire spread region; and based on the predicted fire starting time of a first region, a corresponding spraying device of the first region is controlled to start working; the first region is a region in the plurality of fire spread regions. The fire extinguishing control method provided by the present disclosure can spray the region that will soon catch fire in advance, and adjust the fire extinguishing scheme in real time, thereby improving the fire extinguishing effect.

Description

Technical Field

[0001] This disclosure pertains to the field of fire extinguishing technology, and more specifically, relates to a fire extinguishing control method and apparatus. Background Technology

[0002] In recent years, with the rapid development of cities in my country, the number and complexity of fires have been increasing. Due to the spatial characteristics and uses of parking lots, parking lot fires differ from general industrial and civil building fires. Parking lot fires are affected by factors such as vehicles and cargo, and the characteristics of different vehicles cause the ignition point to vary accordingly. Currently, parking lots often use fire extinguishing solutions based on those used in ordinary civil buildings, which are not well adapted to the actual fire extinguishing situation in parking lots. Therefore, new fire extinguishing solutions are needed to address the complex fire extinguishing conditions in parking lots. Summary of the Invention

[0003] The purpose of this disclosure is to provide a fire extinguishing control method and apparatus to improve the effectiveness of fire extinguishing.

[0004] A first aspect of this disclosure provides a fire extinguishing control method, comprising: The first fire information is input into the first prediction model to predict the fire spread information of the target area; the first fire information is the fire information of the fire area in the target area, and the first prediction model is a fire spread prediction model. The fire spread information includes multiple fire spread areas and the predicted ignition time of each fire spread area. The sprinkler system corresponding to the first zone is activated based on the predicted ignition time of the first zone; the first zone is any non-ignited zone among multiple fire spread zones.

[0005] A second aspect of this disclosure provides a fire extinguishing control device, comprising: The prediction module inputs the first fire information into the first prediction model to predict the fire spread information of the target area; the first fire information is the fire information of the fire area in the target area, the first prediction model is a fire spread prediction model, and the fire spread information includes multiple fire spread areas and the predicted ignition time of each fire spread area; The control module controls the sprinkler system corresponding to the first area to start working based on the predicted ignition time of the first area; the first area is one of the multiple fire spread areas.

[0006] A third aspect of this disclosure provides a fire extinguishing control system, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the fire extinguishing control method described above.

[0007] A fourth aspect of this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the fire extinguishing control method described above.

[0008] The beneficial effects of the fire extinguishing control method and apparatus provided in this disclosure are as follows: This application inputs initial fire information into a first prediction model to predict the fire spread in the parking lot. It allows for timely prediction of the fire situation upon occurrence and enables proactive spraying of areas about to ignite, preventing the fire from spreading further. This application can also promptly formulate corresponding spraying plans after a fire occurs, preventing fires from spreading in advance and improving firefighting effectiveness. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic flowchart illustrating a fire extinguishing control method according to an embodiment of the present disclosure. Figure 2 This is a structural block diagram of a fire extinguishing control device provided in one embodiment of the present disclosure; Figure 3 This is a schematic block diagram of a fire extinguishing control system provided in one embodiment of the present disclosure. Detailed Implementation

[0011] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, so as to provide a thorough understanding of the embodiments of this disclosure. However, those skilled in the art will understand that this disclosure may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this disclosure with unnecessary detail.

[0012] To make the objectives, technical solutions, and advantages of this disclosure clearer, the following description will be provided in conjunction with the accompanying drawings and specific embodiments.

[0013] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a fire extinguishing control method according to an embodiment of the present disclosure, the method including S101 and S102: S101: Input the first fire information into the first prediction model to predict the fire spread information of the target area; the first fire information is the fire information of the fire area in the target area, the first prediction model is the fire spread prediction model, and the fire spread information includes multiple fire spread areas and the predicted ignition time of each fire spread area.

[0014] The target area is all areas detected by the sensing device. For example, if a flame sensor is installed in a parking lot, the entire area that the flame sensor can detect is the target area. Various types of fire information include flame temperature information and flame area information.

[0015] After a fire breaks out, all information related to the spread of the fire in the affected area constitutes the primary fire information. This primary fire information includes fire temperature, fire area, and flammable materials in the fire area. Primary fire information can be collected from the target area using pre-set temperature sensors, image sensors, and other similar devices.

[0016] Collect fire information (fire information is fire-related information, such as temperature information) and fire spread information (such as the speed of flame spread) from past fire cases. Divide the fire information and fire spread information into training set, validation set and test set. Train the prediction model based on the training set, the validation set and the test set to obtain the first prediction model.

[0017] The specific process of extracting fire information from each fire case may include: Artificial intelligence (AI) is used to identify vehicle models in fire videos, determine their geometric models, and obtain material thermophysical parameters for components such as the body and windows. AI also extracts the shape and color of flames from the videos, inferring their size, temperature, and thermal radiation characteristics—parameters that significantly impact the speed and extent of fire spread. Finally, AI extracts structural features from buildings in the videos, predicting their influence on the fire's spread path and speed. These structural features can include the building's layout, ventilation system, and isolation measures.

[0018] When using the first prediction model, inputting the first temperature information will output fire spread information. The fire spread information includes the time required for the fire to spread to different areas, the current temperature of different areas and the temperature at each future moment, and the time when the fire started burning in different areas.

[0019] For example, if an area is 10 meters away from a flame and there are wooden tables and chairs between the area and the flame as fire-transmitting materials, the first prediction model should determine the time required for the flame to come into contact with the area based on the above information. For example, if the area catches fire after half an hour, then the predicted ignition time for the area is half an hour.

[0020] Furthermore, in the absence of any fire-fighting measures, all areas that a fire can freely spread to are considered fire spread areas. For example, if a parking lot could catch fire without firefighting efforts, then all areas of that parking lot would be considered fire spread areas.

[0021] Fire spread information can provide a quick understanding of how a fire will spread. For example, if a parking lot catches fire, the fire spread information can be obtained through an example, which will help to make better responses to the current fire situation.

[0022] S102: Based on the predicted ignition time of the first zone, control the start-up of the sprinkler system corresponding to the first zone; the first zone is any non-ignited zone among multiple fire spread zones.

[0023] The target area can be divided into fire zones and non-fire zones. Non-fire zones can be further divided into areas where a fire is imminent and areas where a fire will not occur. If no firefighting measures are taken, the areas where a fire will eventually occur are considered fire-prone areas, also known as fire spread zones.

[0024] In this embodiment, after predicting the fire spread information of the target area, the shape, temperature, and thermal radiation characteristics of the fire at any future moment can be determined based on the predicted fire spread information. The time required for the fire to spread to a certain area can also be determined. Based on the predicted ignition time of the fire spreading to a certain area, spraying operations can be carried out in advance in that area to increase humidity and lower temperature, thus slowing the fire's spread and improving fire extinguishing efficiency.

[0025] Sprinkler systems include, but are not limited to, automatic water sprinkler systems, gas extinguishing systems, and dry powder extinguishing systems. They are activated at preset times to effectively intervene before or in the early stages of a fire, preventing the fire from spreading further.

[0026] This embodiment can prevent and extinguish fires in areas where fires are about to spread but have not yet occurred, thus preventing the spread of fires in advance and effectively reducing property losses.

[0027] As can be seen from the above, the fire extinguishing method proposed in this disclosure consists of two parts. The first stage involves inputting the fire information detected immediately after the fire occurs into a first fire model to predict the fire spread and determine the time required for the fire to spread to areas where no fire has occurred. The second stage involves spraying fire prevention work in advance in these areas based on the predicted time required for the fire to spread, thus preventing a fire from occurring in those areas. By spraying unburned areas near the fire zone, the spread of the fire is prevented in advance, reducing economic losses.

[0028] In one embodiment of this disclosure, controlling the start-up of a sprinkler system corresponding to a first region based on the predicted ignition time of the first region includes: At the moment before the predicted ignition time of the first zone, the sprinkler system corresponding to the first zone is controlled to start operating at the first spray volume.

[0029] At a predetermined time before the fire spreads, the sprinkler system in the first area is activated to begin spraying at a first spray rate.

[0030] In this embodiment, since parking lots are usually located in densely populated areas, the operation of the sprinkler system and the intervention of firefighters will accelerate the fire extinguishing process after a fire breaks out. Fires often cannot spread indefinitely, so it is not necessary to carry out sprinkler work in all fire-spreading areas. Sprinkler work can be carried out some time before the fire spreads to a certain area.

[0031] To ensure that the sprinkler system activates before the fire source actually reaches and ignites the area, thus establishing a protective barrier in advance and reducing the probability of ignition or suppressing the initial fire, a pre-emptive start time can be set, such as one hour before the fire spreads to the first area. This ensures that the combustibles in the first area are wetted and the air temperature is lowered, reducing the probability of combustion, while also avoiding unnecessary waste of resources. The pre-emptive fire suppression time can be adjusted based on the arrival time of firefighters and the fire suppression capabilities of the sprinkler system. If firefighters can arrive quickly or the sprinkler system is highly efficient, the pre-emptive fire suppression time can be appropriately shortened to reduce property damage caused by the sprinkler system's operation. If firefighters arrive slowly or the sprinkler system is less efficient, the pre-emptive fire suppression time can be appropriately extended to accelerate the fire suppression process by increasing the operating time of the sprinkler system in the first area.

[0032] In one embodiment of this disclosure, after controlling the sprinkler device corresponding to the first area to start operation at a first sprinkler volume, the method further includes: Extract the ambient temperature of the first region; The spray compensation amount of the spray device corresponding to the first area is determined based on the ambient temperature, and the spray compensation amount increases as the ambient temperature rises.

[0033] In this embodiment, after controlling the sprinkler device corresponding to the first area to start working at the first spray volume, an ambient temperature monitoring and sprinkler compensation mechanism is further introduced to adapt to the fire extinguishing needs under different environmental conditions. The specific steps are as follows: Step 1: Extracting fire-related information. This embodiment uses temperature probes, heat flux probes, and velocity probes to extract temperature, heat flux, and fire spread rate in different areas.

[0034] Step 2: Determine the temperature compensation amount. In this embodiment, based on the extracted ambient temperature of the first area, a preset algorithm or rule is used to determine the required spray compensation amount for the corresponding sprinkler device in that area. The spray compensation amount is directly proportional to the ambient temperature; that is, the higher the ambient temperature, the greater the required spray compensation amount, in order to cope with the potentially intensified fire and the greater difficulty in extinguishing the fire under high-temperature conditions.

[0035] Step 3: Determine the initial sprinkler compensation. Since the actual fire situation may differ from the predicted fire spread information, timely adjustments to the fire spread information are necessary. When the ambient temperature rises, increase the sprinkler water volume or increase the spray frequency; conversely, decrease it appropriately. This compensation mechanism ensures that the sprinkler system always operates at the optimal sprinkler state to adapt to the current fire environment.

[0036] By monitoring the ambient temperature of the first zone in real time and dynamically adjusting the working status of the sprinkler system, the fire extinguishing and control method can flexibly adapt to various complex environments, improve fire extinguishing efficiency, and better contain the spread of fire.

[0037] In one embodiment of this disclosure, determining the spray compensation amount of the spray device corresponding to the first area based on the ambient temperature includes: Calculate the spray compensation amount of the spray device corresponding to the first area based on the ambient temperature and the compensation formula. The compensation formula is:

[0038] y represents the spray compensation amount for the first region, and t represents the temperature information for the first region. The first reference temperature, This is the first spray volume.

[0039] In this embodiment, the required compensation amount for the spray device in the first area is compensated using a preset compensation formula. When the actual temperature of the first area is greater than the first reference temperature, i.e. When the actual temperature of the first zone is lower than the first reference temperature, the spray compensation y is positive, meaning the spray volume in the first zone needs to be increased. At this time, the spray volume in the first zone is greater than the first spray volume. When the spray compensation amount y in the first area is negative, it means the spray amount in the first area needs to be reduced; at this time, the spray amount in the first area is less than the first spray amount. If the spray compensation amount y of the first area is 0, then the spray amount of the first area does not need to be compensated, and the spray amount of the first area is the first spray amount.

[0040] This embodiment calculates the sprinkler compensation amount based on the real-time ambient temperature of the first area by applying a compensation formula, and adjusts the working parameters of the sprinkler device accordingly. This achieves adaptive control of the fire extinguishing system, improves the extinguishing efficiency and effect under different temperature conditions, avoids unnecessary waste of resources, and reduces economic losses caused by the long-term operation of the sprinkler device, such as electronic devices or paper documents becoming wet and unusable.

[0041] In one embodiment of this disclosure, it further includes: In response to the mismatch between the predicted ignition time and the actual ignition time in the target area, the spray volume of the sprinkler device corresponding to the first area is adjusted according to the predicted ignition time and the actual ignition time. The target area is the area that has already caught fire in multiple fire spread areas.

[0042] In this embodiment, the predicted ignition time of the first area may not match the actual ignition time. For example, the fire may spread more rapidly due to increased wind speed, or the fire may be contained due to the intervention of firefighters. Therefore, it is necessary to adjust the sprinkler equipment in a timely manner according to the actual fire situation to avoid a larger fire or reduce the waste of firefighting resources.

[0043] The actual fire spread model of the first area can be monitored using preset temperature probes, velocity probes, and heat flux probes, and the actual fire spread rate can be compared with the predicted fire spread rate.

[0044] Firefighting strategies should be adjusted based on a comparison between the actual and predicted fire spread rates. For example, if the actual fire spread rate is faster than predicted, it indicates the fire may be spreading faster than expected. In this case, the spray volume should be increased appropriately to enhance prevention, and spraying prevention work should be carried out in advance based on the actual fire spread rate. If the actual fire spread rate is slower than predicted, it indicates the fire spread has been contained, such as firefighters having begun extinguishing the fire. In this case, the spray volume should be reduced appropriately to avoid economic losses caused by spraying areas where a fire is no longer likely to occur. If the actual fire spread rate is the same as the predicted rate, the spraying strategy should not be adjusted.

[0045] In one embodiment of this disclosure, adjusting the spray volume of the sprinkler device corresponding to the first area based on the predicted ignition time and the actual ignition time includes: In response to the fact that the actual ignition time is earlier than the predicted ignition time, the sprinkler device corresponding to the first zone is controlled to start working at the second spray rate. In response to the fact that the actual ignition time is later than the predicted ignition time, the sprinkler device corresponding to the first zone is controlled to start working at the third spray rate. The second spray volume is greater than the third spray volume.

[0046] In this embodiment, when the system detects that the actual ignition time is earlier than the predicted ignition time, it indicates that the fire is spreading faster than expected, and the fire may be spreading rapidly, increasing the threat to the first area. At this time, the control system, responding to the actual ignition time being earlier than the predicted ignition time, controls the sprinkler system corresponding to the first area to start operating at a second spray rate. Here, the second spray rate is greater than the third spray rate, meaning that the sprinkler system will activate a higher-intensity spray mode, delivering a larger flow rate or a more efficient extinguishing agent to quickly establish effective protection for the first area and prevent the fire from spreading to that area as much as possible. When the system detects that the actual ignition time is later than the predicted ignition time, it indicates that the fire is developing more slowly than expected, or that existing protective measures have played a positive role in slowing the fire. In this case, the control system, responding to the actual ignition time being later than the predicted ignition time, controls the sprinkler system corresponding to the first area to start operating at a third spray rate. The third spray volume here is less than the second spray volume, which means that the sprinkler system will operate in a lower intensity spray mode. This means that the first area will start spraying more time earlier, the spray density will be reduced, or a more economical extinguishing medium will be used. In other words, the basic protection of the first area will be maintained, while avoiding excessive consumption of fire-fighting resources.

[0047] The sprinkler system's intensity is dynamically adjusted based on the actual time of the fire relative to the predicted time. This adapts to changes in fire risk, avoiding resource waste from over-spraying while ensuring sufficient firefighting capacity when truly needed. This design helps improve the efficiency of firefighting resource utilization while ensuring the effectiveness and timeliness of fire response.

[0048] In one embodiment of this disclosure, the fire extinguishing and control method further includes: Acquire primary data; primary data includes fire situation information and fire spread information from multiple areas; The first set of data is divided into a training set, a validation set, and a test set. The prediction model is trained using the training set, validation set, and test set to obtain the first prediction model.

[0049] In this embodiment, temperature probes, heat flux probes, and velocity probes are used to collect fire information and fire spread data from multiple areas, forming the initial fire information. The fire information includes detailed data such as the time and location of the fire, the nature of the fire source, the fire intensity, the type of burning material, the initial fire environment (e.g., wind speed, wind direction, temperature, humidity), and the fire rescue response. The fire spread data records the process of the fire spreading outward from the ignition point, such as the spread path, spread speed, affected area area, fire line advancement, and the difficulty of fire control.

[0050] The collected initial data was rationally divided into three independent datasets for model training, validation, and testing. The training set was primarily used to train the prediction model, enabling it to learn the inherent patterns from fire situation information to fire spread information. The validation set was used during model training to periodically evaluate model performance, adjust model parameters, prevent overfitting, and ensure the model's generalization ability. The test set was used after model training was completed to comprehensively and independently evaluate the model, measuring its predictive accuracy on unknown data.

[0051] Based on the fire prediction requirements and data characteristics, select an appropriate prediction model architecture (such as machine learning algorithms, deep learning models, etc.) and train it using a training set.

[0052] The training process includes: Model initialization involves setting the initial values ​​of the model parameters and obtaining the prediction model based on these initial values.

[0053] Iterative training: The fire information in the training set is input into the prediction model, and the parameters of the prediction model are updated through methods such as backpropagation and gradient descent, in order to make the fire spread prediction results output by the model as close as possible to the actual spread information.

[0054] Model validation: After each round of training, the prediction model is evaluated using a validation set. Based on the validation results, the prediction model parameters are adjusted and the prediction model structure is optimized until the prediction model's performance on the validation set reaches a predetermined standard. The prediction model that reaches the predetermined standard is the first prediction model.

[0055] Corresponding to the fire extinguishing control method in the above embodiments, Figure 2 This is a structural block diagram of a fire extinguishing control device provided according to an embodiment of the present disclosure. For ease of explanation, only the parts relevant to the embodiment of the present disclosure are shown. References Figure 2 The fire extinguishing control device 20 includes: a prediction module 21 and a control module 22.

[0056] The prediction module 21 is used to input the first fire information into the first prediction model to predict the fire spread information of the target area; the first fire information is the fire information of the fire area in the target area, the first prediction model is the fire spread prediction model, and the fire spread information includes multiple fire spread areas and the predicted ignition time of each fire spread area. Control module 22 is used to control the start-up of the sprinkler system corresponding to the first zone based on the predicted ignition time of the first zone; the first zone is a zone among multiple fire spread zones.

[0057] In one embodiment of this disclosure, the control module 22 is specifically used for: At the moment before the predicted ignition time of the first zone, the sprinkler system corresponding to the first zone is controlled to start operating at the first spray volume.

[0058] In one embodiment of this disclosure, the control module 22 is specifically used for: Extract the ambient temperature of the first region; The spray compensation amount of the spray device corresponding to the first area is determined based on the ambient temperature, and the spray compensation amount increases as the ambient temperature rises.

[0059] In one embodiment of this disclosure, the control module 22 is specifically used for: Calculate the spray compensation amount of the spray device corresponding to the first area based on the ambient temperature and the compensation formula. The compensation formula is:

[0060] y represents the spray compensation amount for the first region, and t represents the temperature information for the first region. The first reference temperature, This is the first spray volume.

[0061] In one embodiment of this disclosure, the control module 22 is further configured to: In response to the mismatch between the predicted ignition time and the actual ignition time in the target area, the spray volume of the sprinkler device corresponding to the first area is adjusted according to the predicted ignition time and the actual ignition time. The target area is the area that has already caught fire in multiple fire spread areas.

[0062] Compare the actual rate of fire spread with the predicted rate of fire spread; If the actual fire spread rate differs from the predicted fire spread rate, the firefighting strategy for the first zone will be adjusted.

[0063] In one embodiment of this disclosure, the control module 22 is specifically used for: In response to the fact that the actual ignition time is earlier than the predicted ignition time, the sprinkler device corresponding to the first zone is controlled to start working at the second spray rate. In response to the fact that the actual ignition time is later than the predicted ignition time, the sprinkler device corresponding to the first zone is controlled to start working at the third spray rate. The second spray volume is less than the third spray volume.

[0064] In one embodiment of this disclosure, the control device 20 may further include: The model training module is used to acquire the initial data; the initial data includes fire information and fire spread information from multiple areas. The first set of data is divided into a training set, a validation set, and a test set. The prediction model is trained using the training set, validation set, and test set to obtain the first prediction model.

[0065] See Figure 3 , Figure 3 This is a schematic block diagram of a fire extinguishing control system provided in one embodiment of the present disclosure. Figure 3 The fire extinguishing control system 300 in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of the modules in the above embodiments, for example... Figure 2 The functions of modules 21 and 22 shown.

[0066] It should be understood that, in the embodiments of this disclosure, the processor 301 may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0067] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0068] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.

[0069] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of this disclosure can execute the implementation methods described in the first and second embodiments of the fire extinguishing control method provided in the embodiments of this disclosure, or they can execute the implementation methods of the electronic devices described in the embodiments of this disclosure, which will not be repeated here.

[0070] In another embodiment of this disclosure, a computer-readable storage medium is provided. This computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. The computer program can also instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0071] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device. Furthermore, the computer-readable storage medium can include both internal and external storage units of the electronic device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0072] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0073] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the electronic devices and units described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0074] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or units, or it may be an electrical, mechanical, or other form of connection.

[0075] 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 network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this disclosure, depending on actual needs.

[0076] Furthermore, the functional units in the various embodiments of this disclosure 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.

[0077] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this disclosure, and such modifications or substitutions should all be covered within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A fire extinguishing and control method, characterized in that, include: Input the first fire information into the first prediction model to predict the fire spread information in the target area; The first fire information is the fire information of the fire area in the target area, the first prediction model is the fire spread prediction model, and the fire spread information includes multiple fire spread areas and the predicted ignition time of each fire spread area; The sprinkler system in the first area is activated based on the predicted ignition time of the first area. The first area is any unaware area among multiple fire spread areas; Also includes: In response to a mismatch between the predicted ignition time and the actual ignition time in the target area, the spray volume of the sprinkler device corresponding to the first area is adjusted according to the predicted ignition time and the actual ignition time. The target area is the area that has already caught fire in multiple fire spread areas. The step of adjusting the spray volume of the sprinkler device corresponding to the first area based on the predicted fire time and the actual fire time includes: In response to the actual fire time being earlier than the predicted fire time, the sprinkler device corresponding to the first area is controlled to start working at the second spray rate. In response to the actual fire time being later than the predicted fire time, the sprinkler device corresponding to the first area is controlled to start working at a third spray rate. The second spray volume is greater than the third spray volume.

2. The fire extinguishing and control method as described in claim 1, characterized in that, The method of controlling the start-up of the sprinkler system corresponding to the first region based on the predicted ignition time of the first region includes: At the moment before the predicted ignition time of the first zone, the sprinkler system corresponding to the first zone is controlled to start operating at the first spray volume.

3. The fire extinguishing and control method as described in claim 2, characterized in that, After the sprinkler device corresponding to the first controlled area is started to operate at the first sprinkler volume, the system further includes: Extract the ambient temperature of the first region; The spray compensation amount of the spray device corresponding to the first area is determined based on the ambient temperature, and the spray compensation amount increases as the ambient temperature increases.

4. The fire extinguishing and control method as described in claim 3, characterized in that, Determining the spray compensation amount of the spray device corresponding to the first area based on the ambient temperature includes: Calculate the spray compensation amount of the spray device corresponding to the first area based on the ambient temperature and the compensation formula. The compensation formula is as follows: y represents the spray compensation amount for the first area, and t represents the temperature information of the first area. The first reference temperature, This is the first spray volume.

5. The fire extinguishing and control method according to any one of claims 1 to 4, characterized in that, Also includes: Acquire first data; the first data includes fire information and fire spread information from multiple areas; The first data is divided into a training set, a validation set, and a test set; The prediction model is trained using the training set, the validation set, and the test set to obtain the first prediction model.

6. A fire extinguishing control device, characterized in that, include: The prediction module inputs the initial fire information into the first prediction model to predict the fire spread information in the target area; The first fire information is the fire information of the fire area in the target area, the first prediction model is the fire spread prediction model, and the fire spread information includes multiple fire spread areas and the predicted ignition time of each fire spread area; The control module controls the sprinkler system corresponding to the first area to start working based on the predicted ignition time of the first area; the first area is a region among multiple fire spread areas; The control module is also used to: in response to a mismatch between the predicted ignition time and the actual ignition time of the target area, adjust the spray volume of the sprinkler device corresponding to the first area according to the predicted ignition time and the actual ignition time, wherein the target area is an area that has been ignited in multiple fire spread areas; The control module is specifically used for: In response to the actual fire time being earlier than the predicted fire time, the sprinkler device corresponding to the first area is controlled to start working at the second spray rate. In response to the actual fire time being later than the predicted fire time, the sprinkler device corresponding to the first area is controlled to start working at a third spray rate. The second spray volume is greater than the third spray volume.

7. A fire extinguishing control system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

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