A building fire risk assessment method and device, a storage medium and equipment

Abstract

A building fire risk assessment method, device, storage medium and equipment, which is based on the reliability of the fire water supply and automatic sprinkler system to predict the fire scale, comprising: establishing a building historical fire and fire brigade dispatch database; based on the classified and summarized data after data cleaning, establishing a two-dimensional curve of the fire brigade arrival time and the fire area for different building types according to whether the fire water supply and automatic sprinkler system is intact, and fitting to generate a fire area prediction empirical formula; establishing a real-time operation database of the fire water supply and automatic sprinkler system, establishing a reliability formula of the fire water supply and automatic sprinkler system, and judging the system integrity and the reliability value; generating building fire risk grade classification standards; collecting real-time data to obtain the building fire risk grade determination results, and generating a regional building fire risk map in real time. The application also provides a device, a computer readable storage medium and an electronic device for implementing the above method.

Description

Technical Field

[0001] This invention relates to fire risk assessment technology, and in particular to a method, apparatus, storage medium and equipment for building fire risk assessment based on the reliability of fire water supply and automatic sprinkler systems. Background Technology

[0002] Fire risk analysis is an important component of fire safety science. Through fire risk analysis, factors that cause fires can be identified, thereby determining the probability of a fire and its consequences, providing theoretical guidance and methods for developing effective fire prevention measures. Fire risk analysis also helps to make fire prevention strategies more scientific and economical. It allows for the estimation of expected fire losses, enabling a comprehensive cost-benefit evaluation of fire-fighting measures, which is of great significance for developing economically sound fire prevention strategies.

[0003] With rapid economic development, the construction industry has grown at an astonishing pace, bringing with it increasingly prominent fire safety issues. For example, the diversified and complex functions of public buildings make fire prevention extremely complex; the high concentration of people and property makes evacuation difficulties increasingly apparent, leading to increasingly severe fire-related losses. Therefore, reducing and controlling building fires is the most important issue in the field of fire safety engineering, and the first step is to conduct fire risk studies. The prediction and control of building fires should be based on a correct assessment of fire risks, and the effectiveness and rationality of fire prevention technologies are also closely related to the accurate assessment of fire risks. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method, apparatus, storage medium and equipment for building fire risk assessment based on the reliability of fire water supply and automatic sprinkler systems, in order to address the above-mentioned deficiencies of the prior art.

[0005] To achieve the above objectives, this invention provides a method for assessing building fire risk, wherein fire scale is predicted based on the reliability of fire water supply and automatic sprinkler systems to enable precise dispatch of firefighting forces, including the following steps:

[0006] S100. Establish a database of historical fires and fire brigade dispatches for buildings, and perform data cleaning and classification of all data.

[0007] S200. Based on the classified and summarized data after data cleaning, according to the integrity of the fire water supply and automatic sprinkler system, establish a two-dimensional curve of the arrival time of fire brigades and the fire area for different building types, and fit and generate an empirical formula for predicting the fire area to establish a fire area prediction model.

[0008] S300. Establish a real-time operation database for fire water supply and automatic sprinkler systems. At the same time, based on the fire water supply and automatic sprinkler system diagrams of different buildings, establish a reliability formula for fire water supply and automatic sprinkler systems. Combine historical component failure rates and current operating conditions to determine the integrity and reliability of the system.

[0009] S400. Based on the integrity of the fire water supply and automatic sprinkler systems, combined with empirical formulas for predicting fire-affected area and real-time fire brigade arrival times, the fire-affected area of ​​the building is predicted and analyzed. Simultaneously, combined with the reliability results of the fire water supply and automatic sprinkler systems, a standard for determining the building's fire risk level is generated; and...

[0010] S500 collects real-time data, obtains the fire risk level assessment results for each building based on the building fire risk level assessment standards, and generates a regional building fire risk map in real time.

[0011] The aforementioned building fire risk assessment methods also include:

[0012] S600. Based on the results of building fire risk level determination, historical fire and fire protection data, a self-learning fire risk assessment model is established, and the fire area fitting formula is corrected in real time according to real-time feedback.

[0013] The aforementioned building fire risk assessment method, wherein step S100 further includes:

[0014] S101. Collect historical fire data, including building type, burned area, fire brigade arrival time, and whether the fire water supply and automatic sprinkler system are operating effectively, and input the data into the database.

[0015] S102. Categorize and summarize all input data; and

[0016] S103. Perform data cleaning on all input data, and handle invalid data values ​​and missing values.

[0017] The aforementioned building fire risk assessment method, wherein step S200 further includes:

[0018] S201. Based on the integrity of the fire water supply and automatic sprinkler system, and according to different building types, a two-dimensional curve is generated corresponding to the set quantile values ​​of the fire brigade arrival time and the fire-affected area. An empirical formula for predicting the fire-affected area is then fitted to this curve.

[0019] S202, with R 2 ≥0.8 is used as the criterion to verify whether the fitting result of the empirical formula for predicting the burned area is effective. 2Goodness of fit is the degree to which the regression line fits the observed values.

[0020] The above-mentioned building fire risk assessment method, wherein the empirical formula for predicting the burned area is:

[0021] y = exp(a + b*x + c*x) 2 );

[0022] Where y is the burned area, in meters (m). 2 x represents the ignition time in minutes; a, b, and c are constants, dimensionless.

[0023] In the above-mentioned building fire risk assessment method, in step S500, the reliability is calculated based on the real-time operation data of the fire water supply and automatic sprinkler system, and the building fire risk level of each building is updated in real time.

[0024] In the aforementioned building fire risk assessment method, the reliability of the fire water supply and automatic sprinkler system is correlated with the fire-affected area by 80% to 95%.

[0025] To better achieve the above objectives, the present invention also provides a building fire risk assessment device, wherein the building fire risk assessment method described above includes:

[0026] The database creation module is used to create a database of historical fires and fire brigade dispatches for buildings, and to perform data cleaning and classification of all data.

[0027] The fire area prediction model generation module is used to establish a two-dimensional curve of the arrival time of fire brigades and the fire area for different building types based on the integrity of the fire water supply and automatic sprinkler system, and to fit and generate an empirical formula for fire area prediction to establish a fire area prediction model.

[0028] The reliability assessment module for fire water supply and automatic sprinkler systems is used to establish a real-time operation database for fire water supply and automatic sprinkler systems. Based on the fire water supply and automatic sprinkler system diagrams of different buildings, it establishes a reliability formula for fire water supply and automatic sprinkler systems and, combined with historical component failure rates and current operating conditions, assesses the system's integrity and reliability.

[0029] The building fire risk level classification module is used to predict and analyze the fire area of ​​a building based on the integrity of the fire water supply and automatic sprinkler system, combined with the empirical formula for predicting the fire area and the real-time arrival time of the fire brigade. At the same time, it combines the reliability results of the fire water supply and automatic sprinkler system to generate a standard for determining the building fire risk level.

[0030] The building fire risk level assessment module is used to determine the building fire risk level of each building according to the building fire risk level classification standards, and to generate a regional building fire risk map in real time; and

[0031] The self-learning fire risk assessment module is used to establish a self-learning fire risk assessment model based on the building fire risk level determination results, historical fire and fire protection data, and to correct the fire area fitting formula in real time based on real-time feedback.

[0032] To better achieve the above objectives, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the above-described building fire risk assessment method.

[0033] To better achieve the above objectives, the present invention also provides an electronic device, comprising:

[0034] Processor; and

[0035] Memory for storing the executable instructions of the processor;

[0036] The processor is configured to execute the above-described building fire risk assessment method by executing the executable instructions.

[0037] The technical effects of this invention are as follows:

[0038] 1) Establish an empirical model for predicting the fire area of ​​different building types based on the integrity of fire protection facilities. The evaluation model takes into account important indicators such as building type, fire water supply and automatic sprinkler system, and fire brigade arrival time. It can more comprehensively and objectively reflect the fire development trend under the influence of comprehensive factors. Combined with the location of the building, it can more comprehensively assist in judging the fire risk of the building, rather than being limited to the risk factors of the building itself.

[0039] 2) The evaluation is based on empirical formulas fitted from historical fires, making it more operable and practical in application. It can effectively reflect the impact of the reliability of fire water supply and automatic sprinkler systems on the spread and scale of fires, assisting fire departments in making decisions and accurately dispatching fire forces.

[0040] 3) The predictive experience model can be updated in real time based on the improvement of the amount and quality of data in the big data database. With the popularization of the Internet of Things in buildings and the optimization of fire station layout, the predictive experience model can be gradually updated and effectively reflect the accurate status of building fire water supply and automatic sprinkler system and fire resources. It can be combined with reality to better serve urban building fire prevention and fire fighting and rescue.

[0041] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the present invention. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in this embodiment or the prior art, the drawings used in the description of the embodiment or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a structural diagram of the main influencing factors in an embodiment of the present invention;

[0044] Figure 2 This is a schematic diagram illustrating the working principle of an embodiment of the present invention;

[0045] Figure 3 This is a reliability block diagram of a fire water supply and automatic sprinkler system according to an embodiment of the present invention;

[0046] Figure 4A This is a fitting curve of fire station arrival time versus fire area according to an embodiment of the present invention (when sprinklers are effective);

[0047] Figure 4B This is a fire station arrival time versus fire area fitting curve according to an embodiment of the present invention (when there is no sprinkler or it is malfunctioning). Detailed Implementation

[0048] The structural and working principles of the present invention will be described in detail below with reference to the accompanying drawings:

[0049] See Figure 1 and Figure 2 , Figure 1 This is a diagram showing the main influencing factors in an embodiment of the present invention. Figure 2 This is a schematic diagram illustrating the working principle of an embodiment of the present invention. The building fire risk assessment method of the present invention, based on the reliability of fire water supply and automatic sprinkler systems, predicts the scale of a fire to achieve precise dispatch of firefighting forces, and includes the following steps:

[0050] Step S100: Establish a large database of historical building fires and fire brigade dispatch records, and perform data cleaning and classification of all data; this may further include:

[0051] Step S101: Collect historical fire building types, fire area, fire brigade arrival time, and whether the fire water supply and automatic sprinkler system are operating effectively, and input the data into the database;

[0052] Step S102: Classify and summarize all input data according to different building types, and the condition of fire water supply and automatic sprinkler systems; and

[0053] Step S103: Clean all input data, and process invalid and missing data values. Specifically, a database can be built using fire cases from the past 10 years in the city. Database fields can be established according to building type, fire water supply and automatic sprinkler system condition. Historical fire information and fire brigade dispatch information can be entered. Missing fields and data with obvious errors can be deleted for classification, statistical query.

[0054] Step S200: Based on the cleaned and categorized data, establish two-dimensional curves of fire brigade arrival time and fire-affected area for different building types according to the integrity of fire water supply and automatic sprinkler systems, and fit and generate empirical formulas for fire-affected area prediction to establish a fire-affected area prediction model; which may further include:

[0055] Step S201: Based on the integrity of the fire water supply and automatic sprinkler system, and according to different building types, a two-dimensional curve is generated based on the relationship between the fire brigade's arrival time and the fire-affected area. Typically, a two-dimensional curve is generated using the values ​​corresponding to the quantile values ​​of arrival time and fire-affected area. Through data analysis and formula fitting, the optimal value corresponding to the 90th percentile value of the fire brigade's arrival time and the fire-affected area is selected to generate the two-dimensional curve. An empirical formula for predicting the fire-affected area is then fitted and generated. The fitted empirical formula for predicting the fire-affected area is as follows:

[0056] y = exp(a + b*x + c*x) 2 );

[0057] Where y is the burned area, in meters (m). 2 x represents the ignition time in minutes; a, b, and c are dimensionless constants. These constants a, b, and c are obtained through numerical analysis based on extensive statistical data, including burned area and time.

[0058] In this embodiment, taking a commercial building as an example, based on the effectiveness of different fire water supply and automatic sprinkler systems, the fire-affected area and the corresponding fire brigade arrival time are screened for different scenarios. The fire-affected area corresponding to the 90th percentile value as the fire brigade arrival time progresses is analyzed and a two-dimensional curve is generated. The generated two-dimensional curve is as follows: Figure 4A , 4B As shown.

[0059] Step S202, with R 2 ≥0.8 is used as the criterion to verify whether the fitting result of the empirical formula for predicting the burned area is effective. 2The goodness of fit is the degree to which the regression line fits the observed values; in this embodiment, the fitting yields empirical formulas for the burned area and R0 under different scenarios. 2 The values ​​are shown in Table 1 below:

[0060] Table 1 Fitting formula and its R value 2 value

[0061] <![CDATA[ ]]> <![CDATA[ When the spray is effective ]]> <![CDATA[ When there is no spray or it fails ]]> <![CDATA[ equation ]]> <![CDATA[ y=exp(a+b*x+c*x 2 ) ]]> <![CDATA[ y=exp(a+b*x+c*x 2 ) ]]> <![CDATA[ a ]]> <![CDATA[ 2.41808±0.35185 ]]> <![CDATA[ 1.59928±0.87632 ]]> <![CDATA[ b ]]> <![CDATA[ -0.17401±0.07504 ]]> <![CDATA[ 0.01118±0.21196 ]]> <![CDATA[ c ]]> <![CDATA[ 0.01694±0.00351 ]]> <![CDATA[ 0.01496±0.0124 ]]> <![CDATA[ R 2 (CODE) ]]> <![CDATA[ 0.99073 ]]> <![CDATA[ 0.87335 ]]>

[0062] Step S300: Establish a real-time operation big data database for fire water supply and automatic sprinkler systems, including the operation status of key system components. At the same time, based on the fire water supply and automatic sprinkler system diagrams of different buildings, establish a reliability formula for fire water supply and automatic sprinkler systems. Combine historical component failure rates and current operation status to determine the integrity and reliability of the system.

[0063] In this embodiment, the reliability block diagram of the fire water supply and automatic sprinkler system is as follows: Figure 3 As shown, the fire protection pipe network, fire pump, and fire hydrant are connected in series, and the reliability formula is R. 消火栓系统 =R 水源 R 水泵 R 管网 R 消火栓 Furthermore, based on the historical failure rates of the system components, the reliability of each subsystem is shown in Table 2 below, and the calculated reliability is 0.9132.

[0064] Table 2 Reliability of Fire Water Supply and Automatic Sprinkler System Subsystems

[0065]

[0066] Step S400: Based on the integrity of the fire water supply and automatic sprinkler system, combined with the empirical formula for predicting the fire area and the real-time arrival time of the fire brigade, predict and analyze the fire area of ​​the building. At the same time, combined with the reliability results of the fire water supply and automatic sprinkler system, a comprehensive judgment standard for determining the building fire risk level is generated.

[0067] In this embodiment, taking shopping mall buildings as an example, the fire risk of shopping mall buildings is divided into 5 levels, including ultra-low risk, low risk, medium risk I, medium risk II and high risk, as shown in Table 3.

[0068] Table 3 Classification of Building Fire Risk Levels

[0069] <![CDATA[ Fire area / m 2 ]]> <![CDATA[ <1 ]]> <![CDATA[ ≥1，<5 ]]> <![CDATA[ ≥5，<10 ]]> <![CDATA[ ≥10，<30 ]]> <![CDATA[ ≥30 ]]> <![CDATA[ Reliability calculation ]]> <![CDATA[ ≥0.95，<1 ]]> <![CDATA[ ≥0.9，<0.95 ]]> <![CDATA[ ≥0.8，<0.9 ]]> <![CDATA[ ≥0.7，<0.8 ]]> <![CDATA[ <0.7 ]]> <![CDATA[ Fire risk ]]> <![CDATA[ Extremely low risk ]]> <![CDATA[ Low risk ]]> <![CDATA[ Medium risk I ]]> <![CDATA[ Medium risk II ]]> <![CDATA[ High risk ]]>

[0070] Step S500: Embed the model into the software platform, and by accessing and collecting real-time data, analyze and calculate the fire risk level of each building according to the building fire risk level determination standard, and generate a regional building fire risk map in real time. In this embodiment, the reliability can be calculated based on the real-time operation data of the fire water supply and automatic sprinkler system, and the fire risk level of each building can be updated in real time.

[0071] In this embodiment, for example, by installing sensors on the fire water supply and automatic sprinkler system components to establish a fire protection Internet of Things (IoT), and remotely transmitting fault information and other data, the reliability of the fire water supply and automatic sprinkler system can be calculated in real time. Simultaneously, combined with the real-time arrival time of the fire brigade at the building, and based on empirical formulas for the burned area in various scenarios, the potential fire scale and risk level in the event of a fire in the shopping mall can be obtained. Furthermore, according to the aforementioned fire risk classification, the building risk level within the area is determined, and a regional fire risk map is drawn.

[0072] The present invention may also include:

[0073] Step S600: Based on the building fire risk level determination results, historical fire data, and fire protection data, a self-learning fire risk assessment model is established. The fire area fitting formula is corrected in real-time based on feedback from real-time conditions. As the number of historical fires and the amount of fire protection facility operation data increases, the empirical formula for fire area fitting can be corrected, thereby improving the accuracy of fire protection facility reliability calculation results. Through a predetermined algorithm, the model continuously learns and improves itself as big data grows.

[0074] This invention presents a building fire risk model based on the reliability of fire-fighting water supply and automatic sprinkler systems. It can calculate and analyze the building risk level in real time based on the effectiveness and operational reliability of these systems. The reliability of the fire-fighting water supply and automatic sprinkler systems has a correlation of 80% to 95% with the burned area. Therefore, it is more scientific, better reflects the current risk of the building, and effectively predicts fire risks.

[0075] The present invention also provides a building fire risk assessment device for implementing the above-described building fire risk assessment method, comprising:

[0076] The database creation module is used to create a database of historical fires and fire brigade dispatches for buildings, and to perform data cleaning and classification of all data.

[0077] The fire area prediction model generation module is used to establish a two-dimensional curve of the arrival time of fire brigades and the fire area for different building types based on the integrity of the fire water supply and automatic sprinkler system, and to fit and generate an empirical formula for fire area prediction to establish a fire area prediction model.

[0078] The reliability assessment module for fire water supply and automatic sprinkler systems is used to establish a real-time operation database for fire water supply and automatic sprinkler systems. Based on the fire water supply and automatic sprinkler system diagrams of different buildings, it establishes a reliability formula for fire water supply and automatic sprinkler systems and, combined with historical component failure rates and current operating conditions, assesses the system's integrity and reliability.

[0079] The building fire risk level classification module is used to predict and analyze the fire area of ​​a building based on the integrity of the fire water supply and automatic sprinkler system, combined with the empirical formula for predicting the fire area and the real-time arrival time of the fire brigade. At the same time, it combines the reliability results of the fire water supply and automatic sprinkler system to generate a standard for determining the building fire risk level.

[0080] The building fire risk level assessment module is used to determine the building fire risk level of each building according to the building fire risk level classification standards, and to generate a regional building fire risk map in real time; and

[0081] The self-learning fire risk assessment module is used to establish a self-learning fire risk assessment model based on the building fire risk level determination results, historical fire and fire protection data, and to correct the fire area fitting formula in real time based on real-time feedback.

[0082] Accordingly, based on the same inventive concept, the present invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described building fire risk assessment method. Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (e.g., a CD-ROM, USB flash drive, portable hard drive, etc.) or on a network, including several instructions to cause a computing device (which may be a personal computer, server, mobile terminal, or network device, etc.) to execute the method according to the embodiments of the present invention.

[0083] In some possible implementations, various aspects of the present invention can also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of the present invention. Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.

[0084] According to embodiments of the present invention, a program product for implementing the above-described method may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0085] The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0086] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium, capable of sending, propagating, or transmitting programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0087] The program code contained on the readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0088] Program code for performing the operations of this invention can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0089] Accordingly, based on the same inventive concept, the present invention also provides an electronic device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the above-described building fire risk assessment method by executing the executable instructions.

[0090] Those skilled in the art will understand that various aspects of the present invention can be implemented as systems, methods, or program products. Therefore, various aspects of the present invention can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system." The electronic device of this embodiment is manifested as a general-purpose computing device. Components of the electronic device may include, but are not limited to: at least one processor described above, at least one memory described above, and a bus connecting different system components (including the memory and the processor). The memory is used to store executable instructions of the processor; the processor is configured to perform the above-described building fire risk assessment method by executing the executable instructions. The memory stores program code that can be executed by the processor, causing the processor to perform the steps of the various exemplary embodiments of the present invention described in the "Exemplary Methods" section above.

[0091] The memory may include readable media in the form of volatile memory cells, such as random access memory (RAM) and / or cache memory cells, and may further include read-only memory cells (ROM).

[0092] The memory may also include programs / utilities having a set (at least one) of program modules, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0093] A bus can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus that uses any of the various bus structures.

[0094] The electronic device can also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable user interaction with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., routers, modems, etc.). This communication can be achieved through input / output (I / O) interfaces. Furthermore, the electronic device can communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter. The network adapter communicates with other modules of the electronic device via a bus. Other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0095] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, portable hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the method according to the embodiments of the present invention.

[0096] This invention aims to construct a scientific and objective method for predicting fire scale based on the reliability of fire water supply and automatic sprinkler systems. By establishing a database of historical building fires and fire brigade deployment data, big data analysis is conducted to create an empirical model for predicting the fire-affected area of ​​different building types based on the integrity of fire protection facilities. Simultaneously, by combining this with a large database of fire protection facility operations, the method scientifically and in real-time analyzes and calculates the integrity and reliability of fire water supply and automatic sprinkler systems, predicting potential fire losses and risks, indicating the building fire risk level, assisting fire departments in predicting fire scale, and providing strong support for precise fire force deployment.

[0097] Of course, the present invention may have other various embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art can make various corresponding changes and modifications according to the present invention, but these corresponding changes and modifications should all fall within the protection scope of the appended claims.

Claims

1. A method of building fire risk assessment, characterized in that, The fire scale is predicted based on the reliability of the fire water supply and automatic sprinkler system to achieve precise dispatch of fire fighting forces, including the following steps: S100, a building historical fire and fire brigade dispatch database is established, and all data is cleaned and classified and summarized; S200, based on the classified and summarized data after data cleaning, a two-dimensional curve of fire brigade arrival time and fire area is established according to whether the fire water supply and automatic sprinkler system is intact or not for different building types, and a fire area prediction empirical formula is fitted to generate a fire area prediction model; S300, a real-time operation large database of the fire water supply and automatic sprinkler fire extinguishing system is established, and a fire water supply and automatic sprinkler fire extinguishing system reliability formula is established based on fire water supply and automatic sprinkler fire extinguishing system diagrams of different buildings; combined with historical component failure rates and current operation conditions, the system integrity and reliability value are judged; the fire pipe network, fire pump and fire hydrant are connected in series, and the reliability formula is: R 消火栓系统 = R 水源 R 水泵 R 管网 R 消火栓 , wherein R 消火栓系统 is a fire hydrant system reliability coefficient, R 水源 is a fire water source reliability coefficient, R 水泵 is a fire water pump reliability coefficient, R 管网 is a system pipe network reliability coefficient, and R 消火栓 is a fire hydrant reliability coefficient. S400, according to the condition of the fire water supply and automatic sprinkler system, combined with the fire area prediction empirical formula and real-time fire brigade arrival time, the building fire area is predicted and analyzed, and combined with the reliability of the fire water supply and automatic sprinkler system, a building fire risk grade determination standard is generated; and S500, real-time data is collected, the building fire risk grade determination result is obtained according to the building fire risk grade determination standard, and a regional building fire risk map is generated in real time.

2. The building fire risk assessment method of claim 1, wherein, Further comprising: S600, based on the building fire risk grade determination result, historical fire and fire data, a self-learning fire risk assessment model is established, and the fire area fitting formula is corrected in real time according to real-time feedback to correct the fire area fitting formula in real time.

3. The building fire risk assessment method according to claim 1 or 2, characterized in that, In step S100, further comprising: S101, collecting historical fire building type, fire area, fire brigade arrival time and fire water supply and automatic sprinkler system effective operation data and inputting them into the database; S102, classifying and summarizing all input data; and S103, data cleaning is performed on all input data to process invalid data values and missing values.

4. The building fire risk assessment method according to claim 1 or 2, characterized in that, In step S200, further comprising: S201, based on the condition of the fire water supply and automatic sprinkler system, a two-dimensional curve is generated according to the corresponding values of the fire brigade arrival time and the fire area of the fire for different building types, and a fire area prediction empirical formula is fitted; and S202、with R 2 ≥0.8 as a criterion, verify whether the fitting result of the fitting generating the fire area prediction empirical formula is effective, R 2 is the goodness of fit, which is the fitting degree of the regression straight line to the observation value.

5. The building fire risk assessment method of claim 4, wherein, The fitted fire area prediction empirical formula is: y = exp(a + b*x + c*x 2 ); where y is the area of the fire, in m2 2 ; x is the time of the fire, in min; a, b, c are constants, dimensionless.

6. The building fire risk assessment method according to claim 1 or 2, characterized in that, In step S500, the reliability of the fire water supply and automatic sprinkler system is calculated according to real-time operation data, and the building fire risk grade of each building is updated in real time.

7. The building fire risk assessment method according to claim 1 or 2, characterized in that, The reliability of the fire water supply and automatic sprinkler system and the correlation degree of the fire area are between 80% and 95%.

8. A building fire risk assessment apparatus, characterized by, The building fire risk assessment method according to any one of claims 1-7, comprising: a database establishment module for establishing a building historical fire and fire brigade dispatch database, and cleaning and classifying and summarizing all data; a fire area prediction model generation module for establishing a two-dimensional curve of fire brigade arrival time and fire area for different building types according to whether the fire water supply and automatic sprinkler system is intact or not, and fitting to generate a fire area prediction empirical formula to establish a fire area prediction model; The reliability assessment module for fire water supply and automatic sprinkler systems is used to establish a real-time operational database for these systems. Based on diagrams of fire water supply and automatic sprinkler systems in different buildings, it establishes reliability formulas for these systems, combining historical component failure rates and current operational status to determine system integrity and reliability. The fire pipe network, fire pumps, and fire hydrants are connected in series; the reliability formula is: R... 消火栓系统 =R 水源 R 水泵 R 管网 R 消火栓 , where R 消火栓系统 R is the reliability factor of the fire hydrant system. 水源 R is the reliability coefficient of the fire water source. 水泵 R is the reliability coefficient of the fire pump. 管网 R is the system pipeline reliability coefficient. 消火栓 The reliability coefficient of the fire hydrant; The building fire risk grade division module is configured to predict and analyze the building fire area according to the condition of the fire water supply and automatic sprinkler system, in combination with an empirical formula for predicting the fire area and the real-time fire brigade arrival time, and to generate a building fire risk grade division standard in combination with the reliability result of the fire water supply and automatic sprinkler system. The building fire risk grade determination module is configured to obtain a building fire risk grade determination result of each building according to the building fire risk grade division standard, and to generate a regional building fire risk map in real time. The self-learning fire risk assessment module is configured to establish a self-learning fire risk assessment model based on the building fire risk grade determination result, historical fire and fire-fighting data, and to correct the fitting formula for the fire area in real time according to real-time feedback, and to perform real-time rectification on the fitting formula for the fire area.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7.

10. An electronic device, comprising: The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7. The computer program, when executed by a processor, implements the building fire risk assessment method of any one of claims 1-7.

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