Quantitative identification and alarm method for fire heat release rate of oil pool

Abstract

The invention discloses an oil pool fire heat release rate quantitative identification and alarm method. The method comprises the following steps: firstly, carrying out a small-size oil pool fire combustion experiment to obtain hourly temperatures during the experiment and calculate corresponding heat release rates at different temperatures, and respectively establishing conversion formulas of the temperatures and the heat release rates by utilizing an equal proportion relation; then utilizing FDS numerical simulation to obtain the hourly temperature and the heat release rate of a fire source when the storage tank has an oil pool fire, then obtaining the temperature and the heat release rate of the storage tank with the original size when the storage tank has a fire through a conversion formula, and training in a fine Gaussian SVM classification model after mutual verification with simulation data is passed; the corresponding heat release rate can be obtained in time through the temperature by utilizing the classification model in the fire disaster, and the fire disaster condition is comprehensively analyzed through different monitoring systems, so that a reasonable and effective decision is made when the liquid fire disaster occurs.

Description

Technical Field

[0001] The invention relates to the field of monitoring technology, and in particular to a method for quantitatively identifying and alarming the heat release rate of an oil pool fire. Background Art

[0002] Fire is a particularly common and serious natural disaster, among which liquid fires are increasingly threatening human life and property. In actual fire scenarios, the heat release rate (HRR) of fire is an effective indicator for measuring the development and scale of fire, and has been widely used in firefighting operations. However, due to the lack of quantitative identification and alarm methods for heat release rate in most fire scenarios, taking the oil pool fire in a liquid fire as an example, since the storage tank is a closed space, the size of the fire cannot be reflected in time when the fire occurs, and firefighters can only judge or guess the development of the fire based on their own experience.

[0003] At present, the oxygen consumption method is widely used as a method to measure the heat release rate. However, when measuring the heat release rate using the oxygen consumption principle, it is necessary to measure multiple parameters based on gas analysis and other equipment and perform calculations. The procedure is cumbersome and expensive, requiring a lot of cost, and it is difficult to arrange a large number of equipment in the storage tank. Therefore, due to the lack of accurate fire information, firefighters misjudge the fire scene and key events, delay the timing of firefighting and rescue, and cause unnecessary casualties. In order to ensure the safety of firefighters and effective firefighting decisions, it is necessary to identify the fire scene in real time to better understand the development of the fire. Summary of the invention

[0004] Based on this, the embodiment of the present application provides a method for quantitatively identifying and alarming the heat release rate of an oil pool fire, which can accurately judge the real-time situation of the fire and alarm in time, and is intended to obtain a method for quantitatively identifying and alarming the heat release rate of a universal liquid fire combustion.

[0005] In a first aspect, a method for quantitatively identifying and alarming the heat release rate of an oil pool fire is provided, the method comprising:

[0006] Conduct a small-scale oil pool fire combustion experiment, obtain the hourly temperature during the experiment and calculate the corresponding heat release rate at different temperatures, and use the proportional relationship to establish the conversion formula between temperature and heat release rate;

[0007] The FDS numerical simulation is used to obtain the hourly temperature and heat release rate of the fire source when an oil pool fire occurs in the tank;

[0008] The temperature data and heat release rate obtained from the small-scale oil pool fire combustion experiment were converted into the temperature and heat release rate of the full-scale tank fire through the conversion formula, and then verified with the data obtained from the FDS numerical simulation.

[0009] When the verification is passed, different temperatures and their corresponding heat release rates are input into the fine Gaussian SVM classification model in MATLAB, and the trained fine Gaussian SVM classification model is used to obtain the corresponding heat release rate through the current temperature of the tank to be identified.

[0010] Optionally, the method further comprises:

[0011] Install a temperature sensor and a flue gas analyzer in the center of the top of the tank to be identified in advance; and set a line laser measuring instrument on the edge of the top of the tank;

[0012] The flame temperature of the tank to be identified is captured by a temperature sensor, the flame conditions of the oil pool fire burning in the tank to be identified are monitored using a high-speed camera, and the fuel consumption of the oil pool fire burning in the tank is monitored using a line laser measuring instrument. The current fire size information is determined through various monitoring results.

[0013] Optionally, after respectively establishing the conversion formulas of temperature and heat release rate using the proportional relationship, the correctness of the formulas may be verified using methods such as dimensional analysis, specifically including:

[0014] Determine similarity parameters between the small-scale experiment and the full-scale tank; similarity parameters include size ratio, fuel type, and environmental conditions;

[0015] According to the similarity parameters and experimental data, a preliminary conversion formula is established, and a dimensional analysis is performed on the conversion formula to ensure that the dimensions on both sides of the formula are consistent.

[0016] Optionally, conducting a small-scale oil pool fire combustion experiment specifically includes:

[0017] Prepare small-scale oil pools to simulate tanks in specific fire scenarios;

[0018] Set up a balance precision measurement system, including an electronic balance and a lifting platform, as well as an equivalent oil pool, and ensure that the equivalent oil pool can be connected to the small-size oil pool through a hose and a pressure pipe;

[0019] A temperature measurement system is installed to obtain temperature data through the temperature measurement system, and the obtained temperature data is used to obtain the corresponding heat release rate in the refined Gaussian SVM classification model.

[0020] Optionally, current fire size information is determined based on the obtained heat release rate, specifically including:

[0021] Receive real-time data from temperature sensors, flue gas analyzers, and line laser measuring instruments, and obtain flame morphology information through image acquisition systems;

[0022] Determine whether the current environmental state meets the alarm condition; wherein the alarm condition at least includes whether the heat release rate exceeds the threshold, the temperature exceeds the safety threshold, and the smoke concentration exceeds the standard;

[0023] When the controller detects that the environmental status meets the alarm condition, it sends an alarm signal to the alarm device through the wireless transmission system; wherein the alarm signal at least includes the alarm type, alarm level, and specific location.

[0024] In a second aspect, a device for quantitatively identifying and alarming the heat release rate of an oil pool fire is provided, which is used to implement the method for quantitatively identifying and alarming the heat release rate of an oil pool fire in the first aspect. The device comprises:

[0025] Simulation system, experimental system, learning system, data monitoring system, image acquisition system, protective shell, wireless transmission system, power supply system, computer system and alarm system;

[0026] The simulation system is an FDS simulation system, the image acquisition system includes a high-speed camera, and the experimental system specifically includes a small-sized oil pool, a balance precision measurement system, an equivalent oil pool, a pressure lead pipe, and a temperature measurement system; wherein the small-sized oil pool is an oil pool of the same size as the storage tank in a specific fire scene, and the balance precision measurement system includes an electronic balance and a lifting platform;

[0027] The data monitoring system includes temperature sensors, flue gas analyzers and line laser measuring instruments.

[0028] Optionally, the equivalent oil pool in the experimental system is an open small container located above the electronic balance, the equivalent oil pool is placed on a lifting platform, a hose is connected to the bottom of the equivalent oil pool, the hose is a polytetrafluoroethylene hose, the equivalent oil pool is connected to the pressure pipe through the hose, and the other end of the pressure pipe is connected to the small-sized oil pool.

[0029] Optionally, the temperature sensor is a thermocouple temperature sensor, the temperature sensor is arranged in the center of the top of the storage tank, and the temperature sensor is connected to a wireless transmission system; the wireless transmission system includes a GSM unit or a WIFI unit, the wireless transmission system is connected to a computer system, the computer system is a computer, the flue gas analyzer is a fixed comprehensive flue gas analyzer, the flue gas analyzer is arranged in the center of the top of the storage tank, the temperature sensor is fixedly placed adjacent to the flue gas analyzer, the flue gas analyzer is connected to the wireless transmission system, the line laser measuring instrument is a 3D line laser high-precision measuring instrument, the line laser measuring instrument is arranged inside a protective shell, the protective shell is arranged at the top edge of the storage tank, and the line laser measuring instrument is connected to the wireless transmission system.

[0030] Optionally, the alarm system is a regional alarm system, which includes a controller and an alarm, the controller is connected to a computer system, the alarm is connected to the controller, the power supply system is a battery, and the power supply system is connected to a data monitoring system, an image acquisition system, and a wireless transmission system.

[0031] Optionally, the small-sized oil pool is divided into an upper oil pool area and a lower water pool area, and a vertical pressure inlet of the oil pool is arranged to be located at a preset distance below the surface of the water layer and a pressure pipe is installed.

[0032] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0033] (1) When the present invention is used, a small-scale oil pool fire combustion experiment is carried out to obtain the hourly temperature during the experiment and calculate the corresponding heat release rate at different temperatures. The conversion formulas of temperature and heat release rate are established respectively based on theoretical foundations such as proportional relationship, and the correctness of the formulas is verified by methods such as dimensional analysis. Then, FDS numerical simulation is used to obtain the hourly temperature and heat release rate of the fire source when the oil pool fire occurs in the storage tank. Then, the temperature data and heat release rate obtained from the small-scale experiment are converted into the temperature and heat release rate of the original-size storage tank when the fire occurs. The data are verified with the data obtained from the FDS numerical simulation. After the two are basically consistent and conform to a certain linear relationship, different temperatures and their corresponding heat release rates are trained together in a fine Gaussian SVM classification model, and the training results are stored in a computer system. In this way, the corresponding heat release rate can be obtained in time through the temperature when a fire occurs in the storage tank.

[0034] (2) While obtaining the heat release rate through temperature, the smoke analyzer is used to analyze the smoke during the burning of the oil pool fire in the storage tank, and the temperature sensor is used to monitor the temperature of the oil pool fire in real time. At the same time, the line laser measuring instrument is used to monitor the amount of fuel during the burning of the oil pool fire in the storage tank, which is conducive to monitoring and analyzing the fire situation through a variety of data and making reasonable decisions. It provides ideas for the quantitative identification and alarm methods of the heat release rate of liquid fires of different types and scenarios, so as to ensure the safety of firefighters when liquid fires occur and make reasonable and effective decisions at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0036] Figure 1 A flowchart of the steps provided for the embodiments of the present application;

[0037] Figure 2 A schematic diagram of the on-site structure provided for an embodiment of the present application;

[0038] Figure 3 A schematic diagram of the experimental structure provided for the embodiments of the present application;

[0039] Figure 4 Schematic diagram of the simulation system interface provided in the embodiment of the present application

[0040] Figure 5 A schematic diagram of the learning system interface provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0042] In the description of the present invention, the terms "comprises", "has" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may also include other steps or units that are not explicitly listed but are inherent to these processes, methods, products or apparatuses, or steps or units added based on further optimization schemes conceived by the present invention.

[0043] The technical problem to be solved by the present invention is to provide a method for quantitatively identifying and alarming the heat release rate of an oil pool fire, which can accurately determine the real-time situation of the fire and promptly alarm. Figure 1 , which shows a flow chart of a method for quantitatively identifying and alarming the heat release rate of an oil pool fire provided by an embodiment of the present application. The method may include the following steps:

[0044] S1, conduct a small-scale oil pool fire combustion experiment, obtain the hourly temperature during the experiment and calculate the corresponding heat release rate at different temperatures, and use the proportional relationship to establish the conversion formula between temperature and heat release rate.

[0045] In the experiment, high-precision temperature measuring equipment was used to continuously monitor and record the temperature of the flame at different time points. These data reflect the dynamic change of the flame temperature over time. Subsequently, based on the mass loss and calorific value of the fuel observed in the experiment, the corresponding heat release rate at each time point was calculated. Finally, using the geometric similarity between the small-sized oil pool and the full-sized storage tank, a conversion formula for temperature and heat release rate was established through an equiproportional relationship.

[0046] In the embodiment of the present application, the on-site structure diagram of the method implementation can be as follows: Figure 2 As shown, including experimental systems (such as Figure 3 As shown in the figure, a schematic diagram of the experimental structure is given), a learning system, a data monitoring system, an image acquisition system, a protective shell, a wireless transmission system, a power supply system, a computer system and an alarm system.

[0047] Specifically, the experimental system includes a small-sized oil pool, a balance precision measurement system, an equivalent oil pool, a pressure pipe, and a temperature measurement system. The small-sized oil pool is a scaled-down oil pool of the storage tank in a specific fire scenario. The balance precision measurement system includes an electronic balance and a lifting platform. The equivalent oil pool is an open small container located above the electronic balance. The equivalent oil pool is placed on the lifting platform. A hose is connected to the bottom of the equivalent oil pool, which is a polytetrafluoroethylene hose. The equivalent oil pool is connected to the pressure pipe through the hose, and the other end of the pressure pipe is connected to the small-sized oil pool.

[0048] S2, using FDS numerical simulation to obtain the hourly temperature and heat release rate of the fire source when an oil pool fire occurs in the tank. Figure 4 As shown in the figure, a schematic diagram of the simulation system interface is given.

[0049] S3, the temperature data and heat release rate obtained from the small-scale oil pool fire combustion experiment are converted into the temperature and heat release rate of the full-size tank fire through the conversion formula, and the data obtained by FDS numerical simulation are cross-verified.

[0050] The temperature and heat release rate data measured in the small-scale experiment are applied to the previously established conversion formula to calculate the expected temperature and heat release rate in the case of a full-scale tank fire. Then, the fire scene of the full-scale tank is simulated using the FDS numerical simulation software, and the temperature and heat release rate data during the simulation are recorded. The accuracy and reliability of the conversion formula are verified by comparing the experimental conversion results with the FDS simulation results. If the data of the two are consistent or within an acceptable error range, this verifies the validity of the conversion formula. Finally, these data are plotted into a heat release rate curve, which shows the change of heat release rate over time during the fire, providing important information for fire assessment and response.

[0051] S4, when the verification is passed, the different temperatures and their corresponding heat release rates are input into the fine Gaussian SVM classification model in MATLAB, and the trained fine Gaussian SVM classification model is used to obtain the corresponding heat release rate through the current temperature of the storage tank to be identified.

[0052] Among them, through model training, the model can obtain the corresponding heat release rate according to the acquired temperature data. The learning system is a fine Gaussian SVM classification model in MATLAB. Fine Gaussian SVM is a machine learning algorithm for classifying data. Figure 5 , a schematic diagram of the learning system interface provided in an embodiment of the present application is given.

[0053] In an optional embodiment of the present application, a temperature sensor and a flue gas analyzer are pre-installed in the center of the top of the storage tank to be identified; and a line laser measuring instrument is set at the top edge of the storage tank; the flame temperature of the storage tank to be identified is captured by the temperature sensor, and the fuel consumption during the oil pool fire in the storage tank is monitored by the line laser measuring instrument, and the current fire size information is determined through various monitoring results. Specifically, the data monitoring system includes a temperature sensor, a flue gas analyzer and a line laser measuring instrument. The temperature sensor is a thermocouple temperature sensor, which is arranged in the center of the top of the storage tank. The temperature sensor is connected to the wireless transmission system. The wireless transmission system includes a GSM unit or a WIFI unit. The wireless transmission system is connected to the computer system. The computer system is a computer. The flue gas analyzer is a fixed comprehensive flue gas analyzer, which is arranged in the center of the top of the storage tank. The temperature sensor and the flue gas analyzer are fixedly placed adjacent to each other, and the flue gas analyzer is connected to the wireless transmission system. The line laser measuring instrument is a 3D line laser high-precision measuring instrument, which is arranged inside a protective shell. The protective shell is made of high temperature resistant and corrosion-resistant material. The protective shell is transparent and is arranged at the top edge of the storage tank. The line laser measuring instrument is connected to the wireless transmission system. The image acquisition system can be a high-speed camera, and the image acquisition system is connected to the wireless transmission system.

[0054] The real-time data of temperature sensors, smoke analyzers, and line laser measuring instruments are used to judge the fire situation and to make reasonable rescue decisions based on the heat release rate. The alarm system is a regional alarm system, which includes a controller and an alarm. The controller is connected to a computer system, and the alarm is connected to a controller. The power supply system is a battery, and the power supply system is connected to a data monitoring system, an image acquisition system, and a wireless transmission system. The alarm signal includes at least the alarm type, alarm level, and specific location.

[0055] The following is a specific experimental process for applying the above method:

[0056] Taking the oil pool fire of a storage tank as an example, when in use, a small-scale oil pool fire combustion experiment is first carried out to obtain the hourly temperature during the experiment and calculate the corresponding heat release rate at different temperatures. The conversion formulas of temperature and heat release rate are established respectively using the proportional relationship. Then, the FDS numerical simulation is used to obtain the hourly temperature and heat release rate of the fire source when the oil pool fire occurs in the storage tank. Among them, the small-scale oil pool 16 is divided into an upper oil pool area and a lower water pool area, and the vertical pressure inlet of the oil pool is set 10-15cm below the surface of the water layer. The pressure pipe 21 is installed, and the electronic precision measurement system 24 is installed. The equivalent oil pool 19 is placed on the lifting platform 18, and one end of the hose 20 is connected to the pressure pipe 21. Next, drain the pressure pipe 21 and the hose 20 to remove the air in the pipe, use asbestos to cover the electronic balance 17, the pressure pipe 21 and the hose 20, connect the equivalent oil pool 19 to the hose 20, connect the electronic balance 17 to the temperature measurement system 22, arrange the thermocouple temperature sensor 23 above the center of the small-sized oil pool 16, put materials into the small-sized oil pool 16 and the equivalent oil pool 19 respectively, adjust the height of the lifting platform 18, start collecting current data, use a kerosene spray gun to quickly ignite the upper oil pool area of ​​the small-sized oil pool 16, start measuring and recording, use the temperature measurement system to measure the temperature, and the electronic balance to measure the mass change, and calculate the temperature at different times. The heat release rate is calculated by using the basic theory of proportional relationship to establish the conversion formula of temperature and heat release rate, and the correctness of the formula is verified by using the method of dimensional analysis, and the temperature data and heat release rate obtained from the small-scale experiment are converted into the temperature and heat release rate of the full-scale storage tank when a fire occurs. The data are verified with the data obtained by FDS numerical simulation. After the two are basically consistent and conform to a certain linear relationship, the temperature of the full-scale storage tank when a fire occurs and its corresponding heat release rate are trained in the fine Gaussian SVM classification model, and the data are stored in the computer 11. When arranged on site, the temperature sensor 3 and the smoke analyzer 4 are arranged adjacent to each other. In the center of the top of the tank, the line laser measuring instrument 5 and the high-speed camera 7 are arranged in the protective shell 6, and the protective shell 6 is arranged at the top edge of the tank. The power supply system 1 is connected to the data monitoring system 2 and the image acquisition system 8 respectively, and the data monitoring system 2 and the image acquisition system 8 are connected to the wireless transmission system 10 respectively. When an oil pool fire occurs, the data monitoring system 2 and the image acquisition system 8 transmit the collected data to the computer system 12 through the wireless transmission system 10, and the collected data is displayed in the computer 11, and then the computer 11 transmits the signal to the controller 13, and then the controller 13 controls the alarm 14 to alarm, so that the alarm system 15 completes the response, such as Figure 4 A diagram of the learning system interface is given. This completes the monitoring and alarm of various data when the oil tank fire is burning, allowing firefighters to better understand the development of the fire, ensuring the safety of firefighters and effective firefighting decisions.

[0057] The embodiment of the present application also provides a device for quantitatively identifying and alarming the heat release rate of an oil pool fire, which is used to implement the above-mentioned method for quantitatively identifying and alarming the heat release rate of an oil pool fire. The device specifically includes:

[0058] Simulation system, experimental system, learning system, data monitoring system, image acquisition system, protective shell, wireless transmission system, power supply system, computer system and alarm system; the simulation system is an FDS simulation system, the image acquisition system includes a high-speed camera, the experimental system specifically includes a small-size oil pool, a balance precision measurement system, an equivalent oil pool, a pressure pipe, and a temperature measurement system; among which, the small-size oil pool is a reduced-size oil pool of a storage tank in a specific fire scenario, and the balance precision measurement system includes an electronic balance and a lifting platform; the data monitoring system includes a temperature sensor, a smoke analyzer and a line laser measuring instrument.

[0059] In the embodiment of the present application, the equivalent oil pool in the experimental system is an open small container located above the electronic balance. The equivalent oil pool is placed on a lifting platform. A hose is connected to the bottom of the equivalent oil pool. The hose is a polytetrafluoroethylene hose. The equivalent oil pool is connected to the pressure pipe through the hose, and the other end of the pressure pipe is connected to the small-sized oil pool.

[0060] The temperature sensor is a thermocouple temperature sensor, which is arranged in the center of the top of the storage tank and connected to the wireless transmission system; the wireless transmission system includes a GSM unit or a WIFI unit, and the wireless transmission system is connected to the computer system, which is a computer; the flue gas analyzer is a fixed comprehensive flue gas analyzer, which is arranged in the center of the top of the storage tank; the temperature sensor and the flue gas analyzer are fixedly placed adjacent to each other, and the flue gas analyzer is connected to the wireless transmission system; the line laser measuring instrument is a 3D line laser high-precision measuring instrument, which is arranged inside a protective shell, and the protective shell is arranged at the top edge of the storage tank, and the line laser measuring instrument is connected to the wireless transmission system.

[0061] The alarm system is a regional alarm system, which includes a controller and an alarm transmitter. The controller is connected to a computer system, and the alarm transmitter is connected to the controller. The power supply system is a battery, and the power supply system is connected to a data monitoring system, an image acquisition system, and a wireless transmission system.

[0062] The oil pool fire heat release rate quantitative identification and alarm device provided in the embodiment of the present application is used to implement the above-mentioned oil pool fire heat release rate quantitative identification and alarm method. The specific limitations of the oil pool fire heat release rate quantitative identification and alarm device can be found in the above-mentioned limitations on the oil pool fire heat release rate quantitative identification and alarm method, which will not be repeated here.

[0063] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described 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.

[0064] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. 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 application shall be subject to the attached claims.

Claims

1. A method for quantitatively identifying and alarming the heat release rate of an oil pool fire, characterized in that: The method comprises: Conduct a small-scale oil pool fire combustion experiment, obtain the hourly temperature during the experiment and calculate the corresponding heat release rate at different temperatures, and use the proportional relationship to establish the conversion formula between temperature and heat release rate; The FDS numerical simulation is used to obtain the hourly temperature and heat release rate of the fire source when an oil pool fire occurs in the storage tank. The temperature data and heat release rate obtained from the small-scale oil pool fire combustion experiment were converted into the temperature and heat release rate of the full-scale tank fire through the conversion formula, and then verified with the data obtained from the FDS numerical simulation. When the verification is passed, different temperatures and their corresponding heat release rates are input into the fine Gaussian SVM classification model in MATLAB, and the trained fine Gaussian SVM classification model is used to obtain the corresponding heat release rate through the current temperature of the tank to be identified.

2. The method according to claim 1, characterized in that The method further comprises: Install a temperature sensor and a flue gas analyzer in the center of the top of the tank to be identified in advance; and set a line laser measuring instrument on the edge of the top of the tank; The flame temperature of the tank to be identified is captured by a temperature sensor, the flame conditions of the oil pool fire burning in the tank to be identified are monitored using a high-speed camera, and the fuel consumption of the oil pool fire burning in the tank is monitored using a line laser measuring instrument. The current fire size information is determined through various monitoring results.

3. The method according to claim 1, characterized in that: After using the proportional relationship to establish the conversion formulas of temperature and heat release rate, the correctness of the formulas is verified by using methods such as dimensional analysis, including: Determine similarity parameters between the small-scale experiment and the full-scale tank; similarity parameters include size ratio, fuel type, and environmental conditions; According to the similarity parameters and experimental data, a preliminary conversion formula is established, and a dimensional analysis is performed on the conversion formula to ensure that the dimensions on both sides of the formula are consistent.

4. The method according to claim 1, characterized in that The small-scale oil pool fire combustion experiment includes: Prepare small-scale oil pools to simulate tanks in specific fire scenarios; Set up a balance precision measurement system, including an electronic balance and a lifting platform, as well as an equivalent oil pool, and ensure that the equivalent oil pool can be connected to the small-size oil pool through a hose and a pressure-inducing pipe; A temperature measurement system is installed to obtain temperature data through the temperature measurement system, and the obtained temperature data is used to obtain the corresponding heat release rate in the refined Gaussian SVM classification model.

5. The method according to claim 1, characterized in that The current fire size information can be determined based on the heat release rate, including: Receive real-time data from temperature sensors, flue gas analyzers, and line laser measuring instruments, and obtain flame morphology information through image acquisition systems; Determine whether the current environmental state meets the alarm condition; wherein the alarm condition at least includes whether the heat release rate exceeds the threshold, the temperature exceeds the safety threshold, and the smoke concentration exceeds the standard; When the controller detects that the environmental status meets the alarm condition, it sends an alarm signal to the alarm device through the wireless transmission system; wherein the alarm signal at least includes the alarm type, alarm level, and specific location.

6. A device for quantitatively identifying and alarming the heat release rate of an oil pool fire, used to implement the method for quantitatively identifying and alarming the heat release rate of an oil pool fire as claimed in any one of claims 1 to 5, characterized in that: The device comprises: Simulation system, experimental system, learning system, data monitoring system, image acquisition system, protective shell, wireless transmission system, power supply system, computer system and alarm system; The simulation system is an FDS simulation system, the image acquisition system includes a high-speed camera, and the experimental system specifically includes a small-sized oil pool, a balance precision measurement system, an equivalent oil pool, a pressure lead pipe, and a temperature measurement system; wherein the small-sized oil pool is an oil pool of the same size as the storage tank in a specific fire scene, and the balance precision measurement system includes an electronic balance and a lifting platform; The data monitoring system includes temperature sensors, flue gas analyzers and line laser measuring instruments.

7. The device according to claim 6, characterized in that The equivalent oil pool in the experimental system is an open small container located above the electronic balance. The equivalent oil pool is placed on a lifting platform. A hose is connected to the bottom of the equivalent oil pool. The hose is a polytetrafluoroethylene hose. The equivalent oil pool is connected to the pressure pipe through the hose, and the other end of the pressure pipe is connected to the small-sized oil pool.

8. The device according to claim 6, characterized in that The temperature sensor is a thermocouple temperature sensor, which is arranged in the center of the top of the storage tank and is connected to a wireless transmission system; the wireless transmission system includes a GSM unit or a WIFI unit, and the wireless transmission system is connected to a computer system, which is a computer; the flue gas analyzer is a fixed comprehensive flue gas analyzer, which is arranged in the center of the top of the storage tank; the temperature sensor and the flue gas analyzer are fixedly placed adjacent to each other, and the flue gas analyzer is connected to the wireless transmission system; the line laser measuring instrument is a 3D line laser high-precision measuring instrument, which is arranged inside a protective shell, which is arranged at the top edge of the storage tank, and the line laser measuring instrument is connected to a wireless transmission system.

9. The device according to claim 6, characterized in that The alarm system is a regional alarm system, which includes a controller and an alarm generator, wherein the controller is connected to a computer system, the alarm generator is connected to the controller, the power supply system is a battery, and the power supply system is connected to a data monitoring system, an image acquisition system, and a wireless transmission system.

10. The device according to claim 6, characterized in that The small-sized oil pool is divided into an upper oil pool area and a lower water pool area, and a vertical pressure inlet of the oil pool is set at a preset distance below the surface of the water layer to install a pressure pipe.

Images