A fire alarm method and system for building engineering

Abstract

The present application provides a construction engineering fire alarm method and system, which extracts effective data from smoke concentration data corresponding to different construction areas in a construction building, obtains multiple effective smoke concentrations, and then determines the gradient difference characteristics of smoke concentration in each construction area at different times. The smoke diffusion model is combined with the meteorological conditions of the area where the construction building is located to analyze the diffusion interference of smoke when a fire occurs in the construction building, and then obtains the interference simulation of smoke diffusion when a fire occurs in different construction areas. The fire alarm values ​​of different construction areas are determined based on the gradient difference characteristics of smoke concentration at different times in each construction area and the interference simulation of each construction area, and the confidence position of the fire-stricken area in the construction building is output to the fire control center based on the fire alarm value of each construction area. The scheme of the present application can achieve the confidence positioning of the fire-stricken area in the case where the fire monitor is destroyed.

Description

Technical Field

[0001] The present application relates to the technical field of fire alarm, and in particular to a method and system for fire alarm in construction projects. Background Art

[0002] Fire alarm means that when a fire occurs, various fire alarm systems detect fire signals and sound the alarm in time to remind people of the fire so that they can take corresponding emergency measures, such as evacuating people, activating fire-fighting equipment, etc., to reduce the losses and injuries caused by the fire. Fire alarm systems usually include: fire detectors, alarm devices, linkage equipment, etc. The design and installation of fire alarm systems must comply with local fire safety regulations and standards to ensure that they can work reliably when a fire occurs.

[0003] Construction project fire alarm refers to an automatic fire alarm system installed in a construction building. The system can detect the occurrence of fire and issue an alarm in a timely manner so that appropriate emergency measures can be taken. In previous technologies, when the fire in the construction building is too large, the fire monitor will be easily destroyed by the fire, resulting in the fire control center being unable to accurately judge the fire situation in the construction building, and thus unable to correctly formulate a fire extinguishing strategy. Therefore, how to achieve confident positioning of the fire-stricken areas when the fire monitor is destroyed has become a difficult problem faced by the industry. Summary of the invention

[0004] Based on this, the present application provides a construction fire alarm method and system for realizing the confident positioning of fire-stricken areas.

[0005] In a first aspect, the present application provides a construction engineering fire alarm method, comprising the following steps:

[0006] When a fire is detected in a construction building, smoke concentration data corresponding to different construction areas in the construction building are collected;

[0007] A construction area is selected as the selected construction area, and effective data is extracted from the smoke concentration data corresponding to the selected construction area to obtain multiple effective smoke concentrations of the selected construction area, and the smoke concentration gradient of the effective smoke concentration at each adjacent time is determined, and then the gradient difference characteristics of the smoke concentration at different times of the selected construction area are determined based on all the smoke concentration gradients;

[0008] Pre-training a smoke diffusion model, using the smoke diffusion model combined with the meteorological conditions of the area where the construction building is located to perform diffusion interference analysis on the smoke when a fire occurs in the construction building, and then obtaining a simulated interference amount of smoke diffusion when a fire occurs in the selected construction area;

[0009] Determine the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration at different times in the selected construction area and the interference simulation amount of the smoke diffusion, and continue to determine the fire alarm values ​​of the remaining construction areas;

[0010] Based on the fire alarm values ​​of each construction area, the confidence position of the fire-stricken area in the construction building is output to the fire control center.

[0011] In some embodiments, extracting effective data from smoke concentration data corresponding to the selected construction area to obtain multiple effective smoke concentrations of the selected construction area specifically includes:

[0012] Get all smoke concentrations in the smoke concentration data corresponding to the selected construction area;

[0013] Get the collection time corresponding to each smoke density;

[0014] Sorting each smoke density according to the collection time corresponding to each smoke density to obtain a smoke density sequence;

[0015] Determining the concentration difference between the smoke concentrations at adjacent moments in the smoke concentration sequence;

[0016] The effective smoke concentration of the selected construction area at different times is extracted from all smoke concentrations according to the concentration difference between the smoke concentrations at each adjacent time, so as to obtain a plurality of effective smoke concentrations of the selected construction area.

[0017] In some embodiments, the effective smoke concentration of the selected construction area at different times is extracted from all smoke concentrations according to the concentration difference between the smoke concentrations at each adjacent time, and the multiple effective smoke concentrations of the selected construction area are obtained specifically including:

[0018] Determine the concentration difference threshold;

[0019] Comparing the concentration difference between the smoke concentrations at each adjacent moment with the concentration difference threshold, and then extracting the concentration difference greater than the concentration difference threshold from all the concentration difference values;

[0020] The smoke concentrations corresponding to all the extracted concentration differences are taken as the effective smoke concentrations, and then the effective smoke concentrations of the selected construction area at different times are obtained.

[0021] In some embodiments, determining the smoke concentration gradient of the effective smoke concentration at each adjacent time specifically includes:

[0022] Get the collection time corresponding to each effective smoke concentration;

[0023] Select a group of collection moments from all the collection moments corresponding to the effective smoke concentrations as selected adjacent moments;

[0024] The difference between two corresponding effective smoke concentrations at selected adjacent moments is determined, and the difference is used as the smoke concentration gradient of the effective smoke concentration at the selected adjacent moments, and the smoke concentration gradient of the effective smoke concentration at the remaining adjacent moments is further determined.

[0025] In some embodiments, the smoke diffusion model is combined with the meteorological conditions of the area where the construction building is located to perform diffusion interference analysis on the smoke when a fire occurs in the construction building, and then the interference simulation amount of smoke diffusion when a fire occurs in the selected construction area is obtained, which specifically includes:

[0026] Collecting the meteorological conditions of the area where the construction building is located in real time;

[0027] The smoke diffusion model is used to analyze the smoke diffusion under the influence of the meteorological conditions when a fire occurs in the construction building, so as to obtain the meteorological influence amount of the smoke diffusion when a fire occurs in the selected construction area;

[0028] obtaining a ventilation structure of the construction building;

[0029] Determine the structural influence of smoke diffusion when a fire occurs in the selected construction area according to the ventilation structure of the construction building;

[0030] The interference simulation amount of smoke diffusion when a fire occurs in the selected construction area is determined according to the meteorological influence amount and the structural influence amount.

[0031] In some embodiments, determining the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration in the selected construction area at different times and the interference simulation amount of the smoke diffusion specifically includes:

[0032] The gradient difference feature is used as the fire value of the selected construction area when a fire occurs in the construction building;

[0033] The fire value is compensated according to the interference simulation amount to obtain a fire alarm value of the selected construction area.

[0034] In some embodiments, smoke concentration data corresponding to different construction areas in the construction building are collected by smoke sensors at a specified frequency.

[0035] In a second aspect, the present application provides a building engineering fire alarm system, comprising:

[0036] A monitoring module, for collecting smoke concentration data corresponding to different construction areas in the construction building when a fire is detected in the construction building;

[0037] A processing module is used to select a construction area as a selected construction area, extract effective data from smoke density data corresponding to the selected construction area, obtain multiple effective smoke density of the selected construction area, determine the smoke density gradient of the effective smoke density at each adjacent time, and then determine the gradient difference characteristics of the smoke density of the selected construction area at different times based on all the smoke density gradients;

[0038] The processing module is also used to pre-train a smoke diffusion model, and to perform a diffusion interference analysis on the smoke when a fire occurs in the construction building by combining the smoke diffusion model with the meteorological conditions of the area where the construction building is located, so as to obtain a simulated interference amount of smoke diffusion when a fire occurs in the selected construction area;

[0039] The processing module is further used to determine the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration in the selected construction area at different times and the interference simulation amount of the smoke diffusion, and continue to determine the fire alarm values ​​of the remaining construction areas;

[0040] The sending module is used to output the confidence position of the fire-stricken area in the construction building to the fire control center based on the fire alarm value of each construction area.

[0041] In a third aspect, the present application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned construction engineering fire alarm method when executing the computer program.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned construction engineering fire alarm method are implemented.

[0043] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0044] In the construction engineering fire alarm method and system provided by the present application, when a fire is monitored in a construction building, smoke concentration data corresponding to different construction areas in the construction building are collected, one construction area is selected as the selected construction area, effective data extraction is performed on the smoke concentration data corresponding to the selected construction area, a plurality of effective smoke concentrations of the selected construction area are obtained, the smoke concentration gradient of the effective smoke concentration at each adjacent moment is determined, and then the gradient difference characteristics of the smoke concentration at different moments in the selected construction area are determined based on all the smoke concentration gradients, a smoke diffusion model is pre-trained, and the smoke diffusion interference analysis is performed on the smoke when a fire occurs in the construction building through the smoke diffusion model in combination with the meteorological conditions of the area where the construction building is located, and then the interference simulation amount of the smoke diffusion when a fire occurs in the selected construction area is obtained, the fire alarm value of the selected construction area is determined according to the gradient difference characteristics of the smoke concentration at different moments in the selected construction area and the interference simulation amount of the smoke diffusion, the fire alarm values ​​of the remaining construction areas are further determined, and the confidence position of the fire-stricken area in the construction building is output to the fire control center based on the fire alarm values ​​of each construction area.

[0045] It can be seen that in the present application, for each construction area, firstly, by extracting effective data from the smoke concentration data corresponding to the selected construction area, invalid data in the smoke concentration data can be eliminated, thereby obtaining multiple effective smoke concentrations of the smoke concentration data corresponding to the selected construction area; secondly, the smoke concentration gradient of the effective smoke concentration at each adjacent moment is determined, and then the gradient difference characteristics of the smoke concentration of the selected construction area at different moments are determined based on all the smoke concentration gradients, the gradient difference characteristics represent the degree of difference in the smoke concentration of the selected construction area at different moments, and the growth of smoke in the selected construction area can be reflected by the gradient difference characteristics; then, the fire alarm value of the selected construction area is determined according to the gradient difference characteristics of the smoke concentration of the selected construction area at different moments and the interference simulation of the smoke diffusion, so that the severity of the fire in the selected area of ​​the construction building is represented by the fire alarm value, and then the fire alarm values ​​of different construction areas in the construction building are obtained; finally, the confidence position of the fire-stricken area in the construction building is output to the fire control center based on the fire alarm value of each construction area; in summary, the technical solution of the present application can achieve confidence positioning of the fire-stricken area when the fire monitor is destroyed. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a flow chart of a construction engineering fire alarm method in some embodiments of the present application;

[0047] Figure 2 A schematic diagram of a process of determining a confidence position in some embodiments of the present application;

[0048] Figure 3This is a schematic diagram of the structure of a smoke sensor in some embodiments of the present application;

[0049] Figure 4 This is a schematic diagram of the structure of a fire alarm system for a building project in some embodiments of the present application;

[0050] Figure 5 This is a diagram of the internal structure of a computer device in some embodiments of the present application. DETAILED DESCRIPTION

[0051] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0052] refer to Figure 1 , which is an exemplary flow chart of a construction engineering fire alarm method according to some embodiments of the present application. The construction engineering fire alarm method 100 mainly includes the following steps:

[0053] In step 101, when a fire is detected in a construction building, smoke concentration data corresponding to different construction areas in the construction building are collected.

[0054] In specific implementation, the images in the construction building can be monitored in real time through monitoring equipment, and combined with the machine learning and image processing technologies in the prior art, it can be determined whether a fire has occurred in the construction building. When it is determined that a fire has occurred in the construction building, the smoke concentration data corresponding to different construction areas in the construction building can be obtained. Among them, different construction areas can be divided according to the structural characteristics of the construction building for the installation of smoke sensors. The structural characteristics of the construction building may include: distribution characteristics of ventilation ducts and air conditioning systems, distribution characteristics of equipment protection areas, structural characteristics of the roof, etc. The smoke sensor collects smoke at a specified frequency. In other embodiments, other methods can also be used to implement it, which will not be repeated here.

[0055] It should be noted that the smoke concentration data in the present application is a collection of all smoke concentrations collected in the corresponding area. The smoke concentration data corresponding to different construction areas in the construction building can be collected through a smoke sensor at a specified frequency, where the specified frequency can be once every five seconds, and each smoke concentration has a corresponding collection time. In other embodiments, the sampling frequency can be set according to the actual situation, which is not limited here.

[0056] In addition, it should be noted that the reference Figure 3As shown, the figure is a schematic diagram of the structure of the smoke sensor in some embodiments of the present application, in which a power transmission device (Power Over Ethernet, POE) is provided in the smoke sensor, which is labeled 1 and can be used to provide DC power supply for IP-based terminal devices such as smoke sensors; a speaker is provided, which is labeled 2; a power supply module is provided, which is labeled 3; a smoke sensing module is provided, which is labeled 4; an audio and visual alarm module is provided, which is labeled 5; a read-only memory (Read-Only Memory, ROM) is provided, which is labeled 6; a wireless signal connection device WIFI is provided, which is labeled 7; a random access memory (Random Access Memory, RAM) is provided, which is labeled 8; a main control chip is provided, which is labeled 9; a liquid crystal display (Liquid Crystal Display, LCD) is provided, which is labeled 10; a battery for an input and output system is provided, which is labeled 11; a basic input / output system (Basic Input / Output System, BIOS) is provided, which is labeled 12; a button and indicator light module is provided, which is labeled 13; and a speaker is provided, which is labeled 14.

[0057] In addition, it should be noted that the construction buildings in this application can be mainly multi-story buildings such as apartment buildings, shopping centers, office buildings, hotels, etc., and this application takes one floor of the construction building as an example. In other embodiments, the entire construction building can also be used as an example, which is not limited here.

[0058] In step 102, a construction area is selected as the selected construction area, and effective data extraction is performed on the smoke concentration data corresponding to the selected construction area to obtain multiple effective smoke concentrations of the selected construction area, and the smoke concentration gradient of the effective smoke concentration at each adjacent moment is determined, and then based on all the smoke concentration gradients, the gradient difference characteristics of the smoke concentration of the selected construction area at different moments are determined.

[0059] In some embodiments, extracting effective data from smoke concentration data corresponding to the selected construction area to obtain multiple effective smoke concentrations of the selected construction area can be achieved by the following steps:

[0060] Get all smoke concentrations in the smoke concentration data corresponding to the selected construction area;

[0061] Get the collection time corresponding to each smoke density;

[0062] Sorting each smoke density according to the collection time corresponding to each smoke density to obtain a smoke density sequence;

[0063] Determining the concentration difference between the smoke concentrations at adjacent moments in the smoke concentration sequence;

[0064] The effective smoke concentration of the selected construction area at different times is extracted from all smoke concentrations according to the concentration difference between the smoke concentrations at each adjacent time, so as to obtain a plurality of effective smoke concentrations of the selected construction area.

[0065] In particular, in the specific implementation, each smoke concentration is sorted according to the collection time corresponding to each smoke concentration to obtain a smoke concentration sequence, which can be implemented in the following manner, namely: all smoke concentrations can be sorted according to the order of the collection time corresponding to each smoke concentration to obtain a smoke concentration sequence; the concentration difference represents the difference between two adjacent smoke concentrations in the smoke concentration sequence, the larger the concentration difference is, the larger the difference between two adjacent smoke concentrations in the smoke concentration sequence is, and the smaller the concentration difference is, the smaller the difference between two adjacent smoke concentrations in the smoke concentration sequence is. As a preferred embodiment, determining the concentration difference between smoke concentrations at each adjacent time in the smoke concentration sequence can be implemented in the following manner, namely: the smoke concentration at a group of adjacent time in the smoke concentration sequence is selected as the selected adjacent smoke concentration, two smoke concentrations in the selected adjacent smoke concentration are subtracted, and the absolute value of the difference is used as the concentration difference between the smoke concentrations at adjacent time corresponding to the selected adjacent smoke concentration, and the concentration difference between the smoke concentrations at the remaining adjacent time is continued to be determined. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0066] In addition, in some embodiments, the effective smoke concentrations of the selected construction area at different times are extracted from all smoke concentrations according to the concentration difference between the smoke concentrations at each adjacent time, and the multiple effective smoke concentrations of the selected construction area can be obtained by the following steps:

[0067] Determine the concentration difference threshold;

[0068] Comparing the concentration difference between the smoke concentrations at each adjacent moment with the concentration difference threshold, and then extracting the concentration difference greater than the concentration difference threshold from all the concentration difference values;

[0069] The smoke concentrations corresponding to all the extracted concentration differences are taken as the effective smoke concentrations, and then the effective smoke concentrations of the selected construction area at different times are obtained.

[0070] It should be noted that the concentration difference threshold in the present application is a judgment threshold, which can be used to determine whether the smoke concentration corresponding to the concentration difference is an effective smoke concentration. As a preferred embodiment, the concentration difference threshold can be determined in the following manner, namely: the concentration difference threshold can be set in combination with the smoke concentration data of other similar construction buildings in history when fires occurred and the machine learning in the prior art. The concentration difference threshold can also be evaluated by multiple relevant experts based on the smoke concentration data of other similar construction buildings in history when fires occurred, and the concentration difference threshold can be set according to the evaluation results. In other embodiments, other methods can also be used to implement it, which will not be repeated here.

[0071] In addition, it should be noted that in the present application, one smoke concentration corresponds to one collection time, and one effective smoke concentration corresponds to one smoke concentration. Therefore, one effective smoke concentration corresponds to one collection time. In specific implementation, the smoke concentration gradient of the effective smoke concentration at each adjacent time can be determined by the following steps:

[0072] Get the collection time corresponding to each effective smoke concentration;

[0073] Select a group of collection moments from all the collection moments corresponding to the effective smoke concentrations as selected adjacent moments;

[0074] The difference between two corresponding effective smoke concentrations at selected adjacent moments is determined, and the difference is used as the smoke concentration gradient of the effective smoke concentration at the selected adjacent moments, and the smoke concentration gradient of the effective smoke concentration at the remaining adjacent moments is further determined.

[0075] In particular, in the implementation, the smoke concentration gradient represents the degree of difference in smoke concentration between two corresponding effective smoke concentrations at adjacent moments. As a preferred embodiment, determining the difference between two corresponding effective smoke concentrations at selected adjacent moments can be achieved in the following manner, namely: subtracting the effective smoke concentration at the later acquisition moment from the effective smoke concentration at the earlier acquisition moment in the effective smoke concentration group to obtain the difference.

[0076] In addition, in the specific implementation, the gradient difference feature represents the difference degree of smoke concentration in the selected construction area at different times. The larger the gradient difference feature, the larger the difference of smoke concentration in the selected construction area at different times. The smaller the gradient difference feature, the smaller the difference of smoke concentration in the selected construction area at different times. The gradient difference feature can be used to reflect the growth of smoke in the selected construction area. As a preferred embodiment, the gradient difference feature of the smoke concentration in the selected construction area at different times based on all smoke concentration gradients can be determined in the following way, namely: the average value of all effective concentration gradients is used as the gradient difference feature of the smoke concentration in the selected construction area at different times. In other embodiments, other methods can also be used to implement it, which is not limited here.

[0077] In step 103, a smoke diffusion model is pre-trained, and the smoke diffusion model is combined with the meteorological conditions of the area where the construction building is located to perform diffusion interference analysis on the smoke when a fire occurs in the construction building, thereby obtaining an interference simulation amount of smoke diffusion when a fire occurs in the selected construction area.

[0078] In specific implementation, the pre-training smoke diffusion model can be divided into the following stages, namely: first, determining the target and data preparation, wherein the target is the simulation of the interaction between smoke and the environment, which can be obtained from smoke diffusion images or videos of real scenes, or using simulation tools to generate smoke diffusion scenes to prepare corresponding meteorological conditions (the meteorological conditions include: wind speed, temperature and humidity, etc.); secondly, selecting a suitable model architecture, such as using a diffusion model, or a generative adversarial network, or a generative physical simulation method; then, a pre-training stage is performed, wherein the generation of smoke can be constrained in combination with perceptual loss and physical consistency, optimized using an optimizer, or the learning rate can be gradually reduced during the training process, and finally, the smoke generation effect is verified under various environmental conditions, and then the hyperparameters are adjusted according to the results, such as the number of noise steps, model depth, etc., to complete the pre-training of the smoke diffusion model; in other embodiments, other methods can also be used to pre-train the smoke diffusion model, which is not limited here.

[0079] In some embodiments, the smoke diffusion model is combined with the meteorological conditions of the area where the construction building is located to perform diffusion interference analysis on the smoke when a fire occurs in the construction building, and then the interference simulation amount of smoke diffusion when a fire occurs in the selected construction area is obtained. The following steps can be used to achieve this:

[0080] Collecting the meteorological conditions of the area where the construction building is located in real time;

[0081] The smoke diffusion model is used to analyze the smoke diffusion under the influence of the meteorological conditions when a fire occurs in the construction building, so as to obtain the meteorological influence amount of the smoke diffusion when a fire occurs in the selected construction area;

[0082] obtaining a ventilation structure of the construction building;

[0083] Determine the structural influence of smoke diffusion when a fire occurs in the selected construction area according to the ventilation structure of the construction building;

[0084] The interference simulation amount of smoke diffusion when a fire occurs in the selected construction area is determined according to the meteorological influence amount and the structural influence amount.

[0085] In specific implementation, the meteorological condition represents a collection of wind speed, temperature and humidity, and the meteorological condition includes: wind speed, temperature and humidity, etc., which can reflect the degree of interference with smoke diffusion when a fire occurs in the construction building. As a preferred embodiment, the meteorological conditions of the area where the construction building is located can be collected in real time through wind speed sensors, temperature sensors and humidity sensors. In other embodiments, other methods can also be used to collect the meteorological conditions of the area where the construction building is located in real time, which is not limited here.

[0086] In some embodiments, the meteorological influence amount represents the influence of wind speed, temperature and humidity in the area where the construction building is located when a fire occurs on the smoke diffusion in the selected area of ​​the construction building. As a preferred embodiment, the smoke diffusion model is used to analyze the smoke diffusion under the influence of the meteorological conditions when a fire occurs in the construction building, and the meteorological influence amount of the smoke diffusion when a fire occurs in the selected construction area can be obtained in the following manner, namely: first, the temperature, humidity and wind speed collected in real time are used as input data of the smoke diffusion model; then, the smoke diffusion model simulates the smoke diffusion under the influence of meteorological conditions such as temperature, humidity and wind speed when a fire occurs in the construction building according to the input data, and then sets the temperature influence factor, humidity influence factor and wind speed influence factor of the smoke diffusion when a fire occurs in the selected construction area according to the simulation results; secondly, the temperature influence factor, humidity influence factor and wind speed influence factor are combined with machine learning to set corresponding weights; finally, the meteorological influence amount of the smoke diffusion when a fire occurs in the selected construction area is obtained according to the calculation results of the temperature influence factor, humidity influence factor, wind speed influence factor and the corresponding weights. In other embodiments, other methods can also be used to determine the meteorological influence amount, which is not limited here.

[0087] In addition, in the specific implementation, the structural influence amount represents the degree of influence of the ventilation structure of the construction building on the diffusion of smoke in the selected area of ​​the construction building when a fire occurs in the construction building. As a preferred embodiment, the structural influence amount of the diffusion of smoke when a fire occurs in the selected construction area according to the ventilation structure of the construction building can be determined in the following manner. For example, the structural influence amount of the diffusion of smoke when a fire occurs in the selected construction area when a fire occurs in the construction building can be set by combining the ventilation structure of the construction building in the present application with the machine learning algorithm; the interference simulation amount of the diffusion of smoke when a fire occurs in the selected construction area according to the meteorological influence amount and the structural influence amount can be determined in the following manner, that is, the average value of the meteorological influence amount and the structural influence amount can be used as the interference simulation amount of the diffusion of smoke when a fire occurs in the selected construction area. For example, the weights corresponding to the meteorological influence amount and the structural influence amount can be set respectively in combination with machine learning, so as to determine the interference simulation amount of the diffusion of smoke when a fire occurs in the selected construction area according to the calculation results of the meteorological influence amount, the structural influence amount and the corresponding weights. In other embodiments, other methods can also be used for determination, which will not be repeated here.

[0088] It should be noted that the interference simulation quantity in the present application represents the degree of influence of the wind speed, temperature, humidity and ventilation structure of the construction building in the area where the construction building is located on the diffusion of smoke in the selected area when a fire occurs in the construction building. The larger the interference simulation quantity, the greater the influence of the wind speed, temperature, humidity and ventilation structure of the construction building in the area where the construction building is located on the diffusion of smoke in the selected area when a fire occurs in the construction building. The smaller the interference simulation quantity, the smaller the influence of the wind speed, temperature, humidity and ventilation structure of the construction building in the area where the construction building is located on the diffusion of smoke in the selected area when a fire occurs in the construction building.

[0089] In step 104, the fire alarm value of the selected construction area is determined according to the gradient difference characteristics of the smoke concentration in the selected construction area at different times and the interference simulation amount of the smoke diffusion, and the fire alarm values ​​of the remaining construction areas are further determined.

[0090] In some embodiments, the fire alarm value of the selected construction area can be determined based on the gradient difference characteristics of the smoke concentration at different times in the selected construction area and the interference simulation amount of the smoke diffusion by using the following steps:

[0091] The gradient difference feature is used as the fire value of the selected construction area when a fire occurs in the construction building;

[0092] The fire value is compensated according to the interference simulation amount to obtain a fire alarm value of the selected construction area.

[0093] In specific implementation, the fire alarm value indicates the severity of a fire in a selected area of ​​a construction building. The larger the fire alarm value, the greater the possibility of a fire in the selected area of ​​the construction building. The smaller the fire alarm value, the smaller the possibility of a fire in the selected area of ​​the construction building. As a preferred implementation, the fire value is compensated according to the interference analog quantity to obtain the fire alarm value of the selected construction area. This can be implemented in the following manner, namely: when the interference analog quantity is less than zero, the absolute value of the interference analog quantity can be added to the fire value, and the result of the addition is used as the fire alarm value of the selected area. When the interference analog quantity is greater than or equal to zero, the fire value can be subtracted from the interference analog quantity, and the result of the subtraction is used as the fire alarm value of the selected area. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0094] It should be noted that when setting the value range of the interference simulation quantity in the present application, the absolute value of the interference simulation quantity is set within a value range that is smaller than the absolute value of the fire value.

[0095] In addition, it should be noted that continuing to determine the fire alarm values ​​of the remaining construction areas is to repeat steps 102 to 104 for each remaining construction area, thereby obtaining the fire alarm values ​​of the remaining construction areas.

[0096] In step 105, based on the fire alarm values ​​of each construction area, the confidence position of the fire-stricken area in the construction building is output to the fire control center.

[0097] In some embodiments, reference Figure 2 As shown, this figure is a schematic diagram of the process of determining the confidence position in some embodiments of the present application. In this embodiment, the confidence position of the fire-stricken area in the construction building is output to the fire control center based on the fire alarm value of each construction area, which can be achieved by the following steps:

[0098] In step 1021, the maximum fire alarm value among all fire alarm values ​​is extracted;

[0099] In step 1022, a selected area corresponding to a maximum fire alarm value is obtained;

[0100] In step 1023, the position of the selected area corresponding to the maximum fire alarm value is used as the confidence position of the fire-stricken area in the construction building;

[0101] In step 1024, the confident location of the fire-stricken area in the construction building is sent to a fire control center.

[0102] In a specific implementation, the trusted position of the fire-stricken area in the construction building is sent to a fire control center via a wireless communication network.

[0103] In addition, in another aspect of the present application, in some embodiments, the present application provides a building engineering fire alarm system, referring to Figure 4 , which is a schematic diagram of the structure of a building fire alarm system according to some embodiments of the present application, the building fire alarm system 400 includes: a monitoring module 401, a processing module 402 and a sending module 403, which are respectively described as follows:

[0104] Monitoring module 401, in this application, monitoring module 401 is mainly used to collect smoke concentration data corresponding to different construction areas in the construction building when a fire is detected in the construction building;

[0105] Processing module 402, in this application, the processing module 402 is mainly used to select a construction area as the selected construction area, extract effective data from the smoke concentration data corresponding to the selected construction area, obtain multiple effective smoke concentrations of the selected construction area, determine the smoke concentration gradient of the effective smoke concentration at each adjacent time, and then determine the gradient difference characteristics of the smoke concentration of the selected construction area at different times based on all the smoke concentration gradients;

[0106] In the present application, the processing module 402 is also used to pre-train a smoke diffusion model, and the smoke diffusion interference analysis is performed on the smoke when a fire occurs in the construction building through the smoke diffusion model combined with the meteorological conditions of the area where the construction building is located, so as to obtain the interference simulation amount of smoke diffusion when a fire occurs in the selected construction area;

[0107] The processing module 402 in the present application is also used to determine the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration at different times in the selected construction area and the interference simulation amount of the smoke diffusion, and continue to determine the fire alarm values ​​of the remaining construction areas;

[0108] The sending module 403 in the present application is mainly used to output the confidence position of the fire-stricken area in the construction building to the fire control center based on the fire alarm value of each construction area.

[0109] Each module in the above-mentioned building engineering fire alarm system can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0110] In addition, in one embodiment, the present application provides a computer device, which may be a server, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store building engineering fire alarm data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a building engineering fire alarm method is implemented.

[0111] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0112] In one embodiment, a computer device is also provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps in the above-mentioned construction engineering fire alarm method embodiment are implemented.

[0113] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which, when executed by a processor, implements the steps in the above-mentioned construction engineering fire alarm method embodiment.

[0114] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps in the above-mentioned construction engineering fire alarm method embodiment.

[0115] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0116] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A construction engineering fire alarm method, characterized in that: The steps include: When a fire is detected in a construction building, smoke concentration data corresponding to different construction areas in the construction building are collected; A construction area is selected as the selected construction area, and effective data is extracted from the smoke concentration data corresponding to the selected construction area to obtain multiple effective smoke concentrations of the selected construction area, and the smoke concentration gradient of the effective smoke concentration at each adjacent time is determined, and then the gradient difference characteristics of the smoke concentration at different times of the selected construction area are determined based on all the smoke concentration gradients; Pre-training a smoke diffusion model, using the smoke diffusion model combined with the meteorological conditions of the area where the construction building is located to perform diffusion interference analysis on the smoke when a fire occurs in the construction building, and then obtaining a simulated interference amount of smoke diffusion when a fire occurs in the selected construction area; Determine the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration at different times in the selected construction area and the interference simulation amount of the smoke diffusion, and continue to determine the fire alarm values ​​of the remaining construction areas; Outputting the confidence position of the fire-stricken area in the construction building to the fire control center based on the fire alarm value of each construction area; Among them, the smoke diffusion model is combined with the meteorological conditions of the area where the construction building is located to perform diffusion interference analysis on the smoke when a fire occurs in the construction building, and then the interference simulation amount of smoke diffusion when a fire occurs in the selected construction area is obtained, which specifically includes: Collecting the meteorological conditions of the area where the construction building is located in real time; The smoke diffusion model is used to analyze the smoke diffusion under the influence of the meteorological conditions when a fire occurs in the construction building, so as to obtain the meteorological influence amount of the smoke diffusion when a fire occurs in the selected construction area; obtaining a ventilation structure of the construction building; Determine the structural influence of smoke diffusion when a fire occurs in the selected construction area according to the ventilation structure of the construction building; The interference simulation amount of smoke diffusion when a fire occurs in the selected construction area is determined according to the meteorological influence amount and the structural influence amount.

2. The method according to claim 1, characterized in that The effective data of the smoke concentration data corresponding to the selected construction area is extracted to obtain multiple effective smoke concentrations of the selected construction area, including: Get all smoke concentrations in the smoke concentration data corresponding to the selected construction area; Get the collection time corresponding to each smoke density; Sorting each smoke density according to the collection time corresponding to each smoke density to obtain a smoke density sequence; Determining the concentration difference between the smoke concentrations at adjacent moments in the smoke concentration sequence; The effective smoke concentration of the selected construction area at different times is extracted from all smoke concentrations according to the concentration difference between the smoke concentrations at each adjacent time, so as to obtain a plurality of effective smoke concentrations of the selected construction area.

3. The method according to claim 2, characterized in that According to the concentration difference between the smoke concentrations at each adjacent time, the effective smoke concentration of the selected construction area at different times is extracted from all the smoke concentrations, and multiple effective smoke concentrations of the selected construction area are obtained, specifically including: Determine the concentration difference threshold; Comparing the concentration difference between the smoke concentrations at each adjacent moment with the concentration difference threshold, and then extracting the concentration difference greater than the concentration difference threshold from all the concentration difference values; The smoke concentrations corresponding to all the extracted concentration differences are taken as the effective smoke concentrations, and then the effective smoke concentrations of the selected construction area at different times are obtained.

4. The method according to claim 1, characterized in that The smoke concentration gradient for determining the effective smoke concentration at each adjacent moment specifically includes: Get the collection time corresponding to each effective smoke concentration; Select a group of collection moments from all the collection moments corresponding to the effective smoke concentrations as selected adjacent moments; The difference between two corresponding effective smoke concentrations at selected adjacent moments is determined, and the difference is used as the smoke concentration gradient of the effective smoke concentration at the selected adjacent moments, and the smoke concentration gradient of the effective smoke concentration at the remaining adjacent moments is further determined.

5. The method according to claim 1, characterized in that Determining the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration in the selected construction area at different times and the interference simulation amount of the smoke diffusion specifically includes: The gradient difference feature is used as the fire value of the selected construction area when a fire occurs in the construction building; The fire value is compensated according to the interference simulation amount to obtain a fire alarm value of the selected construction area.

6. The method according to claim 1, characterized in that The smoke concentration data corresponding to different construction areas in the construction building are collected by the smoke sensor at a specified frequency.

7. A construction engineering fire alarm system, which uses the method according to any one of claims 1 to 6 to perform construction engineering fire alarm, characterized in that: The building engineering fire alarm system includes: A monitoring module, for collecting smoke concentration data corresponding to different construction areas in the construction building when a fire is detected in the construction building; A processing module is used to select a construction area as a selected construction area, extract effective data from smoke density data corresponding to the selected construction area, obtain multiple effective smoke density of the selected construction area, determine the smoke density gradient of the effective smoke density at each adjacent time, and then determine the gradient difference characteristics of the smoke density of the selected construction area at different times based on all the smoke density gradients; The processing module is also used to pre-train a smoke diffusion model, and to perform a diffusion interference analysis on the smoke when a fire occurs in the construction building by combining the smoke diffusion model with the meteorological conditions of the area where the construction building is located, so as to obtain a simulated interference amount of smoke diffusion when a fire occurs in the selected construction area; The processing module is further used to determine the fire alarm value of the selected construction area according to the gradient difference characteristics of the smoke concentration in the selected construction area at different times and the interference simulation amount of the smoke diffusion, and continue to determine the fire alarm values ​​of the remaining construction areas; The sending module is used to output the confidence position of the fire-stricken area in the construction building to the fire control center based on the fire alarm value of each construction area.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the construction engineering fire alarm method described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the construction engineering fire alarm method according to any one of claims 1 to 6 are implemented.

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