A method for lithium battery fire alarm based on air suction type smoke sensing

Abstract

The present application relates to the technical field of aspirating smoke sensing lithium battery fire alarm, and discloses an aspirating smoke sensing lithium battery fire alarm method.This paper constructs a smoke concentration dynamic model, which is based on the assumption that smoke naturally decreases over time, and introduces the initial concentration of smoke, the decay constant alpha, and the temperature and humidity influence factors.The aspirating smoke sensor obtains real-time smoke concentration data in the environment, and the model comprehensively considers multiple factors, making the prediction of smoke concentration more scientific and accurate, which helps to reduce the false alarm rate and improve the accuracy of fire warning.In addition, the accurate setting of the initial concentration, the reasonable determination of the decay constant alpha strategy, and the quantification of the temperature and humidity influence factors make the model better adapt to different environmental conditions.The application of aspirating monitoring technology realizes active and real-time monitoring of the smoke concentration in the environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aspirating smoke sensing lithium battery fire alarm, in particular to an aspirating smoke sensing lithium battery fire alarm method. BACKGROUND

[0002] With the acceleration of urbanization, fire hazards are increasingly serious, and the demand for fire alarm systems is more urgent. Traditional fire alarm systems mainly rely on temperature sensors or smoke sensors. These sensors detect smoke or temperature generated by fire in the environment and send an alarm signal, but often have problems such as insufficient sensitivity and limited coverage, making it difficult to respond to fires in a timely and effective manner.

[0003] Existing smoke detection technology is mostly based on static detection principles and cannot adapt to the dynamic changes of smoke diffusion. In particular, in large spaces, the diffusion speed of smoke is affected by many factors such as temperature, humidity, etc., which makes the detection of smoke concentration complex. In addition, existing technologies often lack consideration of environmental factors, resulting in inaccurate monitoring of smoke concentration and failure to timely detect potential fire risks. For example, in some environments, smoke may rapidly diffuse due to rising temperatures, and existing detectors may not be able to capture this change in time, delaying the alarm time. In recent years, fire alarm methods based on aspirating smoke sensing technology have gradually attracted attention. This method can more sensitively respond to fire signals by inhaling ambient air and analyzing the smoke concentration in real time. However, existing methods based on aspirating smoke sensing technology still have some shortcomings. For example, current algorithms and models rely heavily on empirical parameters and lack adaptability to specific environments, which may result in false alarms or missed alarms.

[0004] In summary, although existing technologies have made some progress in the field of fire alarm, further optimization is still needed. In particular, in terms of the accuracy and flexibility of smoke detection, continuous innovation and improvement are needed. By adopting new methods based on aspirating smoke sensing technology, more reliable technical support can be provided for fire alarm systems, thereby effectively reducing potential losses when a fire occurs. SUMMARY

[0005] The present application provides an aspirating smoke sensing lithium battery fire alarm method, which solves the problems mentioned in the background.

[0006] The present application provides the following technical solution: an aspirating smoke sensing lithium battery fire alarm method, comprising:

[0007] Determine the initial model of smoke concentration, assuming that the smoke concentration C S decreases due to natural diffusion within time t;

[0008] Set C S= C0·e -αt = C0·e

[0009] Define temperature influence factor k T = k T = 1 + θ (T - T0), wherein T0 is 25℃, and θ represents a coefficient of temperature acceleration on smoke diffusion, and θ is determined by a temperature acceleration on smoke diffusion strategy;

[0010] The smoke concentration model after adding temperature influence is:

[0011]

[0012] Define humidity influence factor k H = k wherein H0 is 50% humidity, represents a humidity influence coefficient on smoke concentration decline, and is determined by a humidity influence on smoke concentration decline strategy

[0013] The smoke concentration model equation after adding humidity influence is:

[0014]

[0015] Obtain the smoke concentration in the environment through an air suction type smoke sensor.

[0016] Optionally, the determination of α through the smoke decay constant strategy specifically includes:

[0017] Select a closed experimental space, and keep the humidity and temperature constant;

[0018] Set a standard smoke generator in the closed experimental space;

[0019] Set a smoke concentration sensor near the smoke generator, and record the initial concentration C0;

[0020] Set a monitoring smoke concentration interval, denoted as smoke concentration detection interval;

[0021] Start the smoke generator;

[0022] Obtain the current time point;

[0023] From the current time point, record the smoke concentration C S (t) every smoke concentration detection interval;

[0024] Substitute the recorded concentration data into the formula C S (t) = C0·e -αt , and calculate to obtain the value of α.

[0025] Optionally, the strategy of determining θ by the influence of temperature on smoke diffusion acceleration specifically comprises:

[0026] Selecting a closed space with adjustable temperature and keeping humidity constant;

[0027] Setting multiple different temperature values;

[0028] Recording the temperature value T under each temperature condition using a temperature sensor;

[0029] Starting the smoke generator to release smoke under each temperature value;

[0030] Setting a smoke concentration detection time interval;

[0031] Measuring multiple smoke concentration values at each time point;

[0032] For any time point, taking the average value of the measured smoke concentration at this time point as the smoke concentration value measured at the current time point, and recording the data as (T, C S (t));

[0033] For each temperature value, using to calculate the relative concentration change at each time point;

[0034] Obtaining the curve of concentration change over time (C S (t), V S (t));

[0035] Calculating the slope of the decay curve under each temperature condition, t i is the ith time point;

[0036] By selecting a reference temperature T0 and the corresponding α(T0), and combining the formula α(T) = α0·(1+θ(T-T0)), the value of θ is obtained.

[0037] Optionally, the strategy of determining θ by the influence of humidity on smoke concentration decline specifically comprises: Specifically, it comprises:

[0038] Selecting a closed space with adjustable humidity and keeping temperature constant;

[0039] Setting multiple humidity conditions;

[0040] Recording the humidity value H under each humidity condition using a humidity sensor;

[0041] Starting the smoke generator to release smoke under each humidity condition;

[0042] Setting fixed time intervals, recording smoke concentration C after each time interval S (t);

[0043] Using Calculate the relative change of concentration at each time point;

[0044] Obtain the curve of concentration change over time (C S (t), V S (t));

[0045] Calculate the slope of the decay curve under each humidity condition, t i is the ith time point;

[0046] By selecting a reference humidity H0 and the corresponding α(H0), combined with the formula Obtain

[0047] Optionally, the initial smoke concentration in the environment is obtained by the aspirating smoke detector, specifically comprising:

[0048] The space to be monitored is recorded as the target space, and the target space is a rectangular parallelepiped;

[0049] The center positions of the top surface and the four side surfaces of the target space are obtained as temperature and humidity detection points, which are recorded as No. 1 position, No. 2 position, No. 3 position, No. 4 position and No. 5 position respectively;

[0050] The four vertices of the top surface of the target space are obtained, which are recorded as A point, B point, C point and D point respectively, wherein A and B points are on the same side, B and C points are on the same side, C and D points are on the same side, and D and A points are on the same side;

[0051] The top surface of the target space is evenly divided into N rows and M columns, and the area surrounded by the division lines is recorded as a division surface;

[0052] The rows divided by the top surface are sequentially recorded as the first row, the second row, …, the Nth row in order from the closest to the AB side to the farthest from the AB side;

[0053] The columns divided by the top surface are sequentially recorded as the first column, the second column, …, the Mth column in order from the closest to the AD side to the farthest from the AD side;

[0054] The segmentation surfaces are numbered, specifically, the segmentation surface in the first row and the first column is recorded as No. 1 segmentation surface, and the numbering is sequentially performed from the first row to the Nth row, the segmentation surfaces in the odd layers are sequentially numbered in the order from the AD edge closest to the AD edge to the AD edge farthest from the AD edge, and the segmentation surfaces in the even layers are sequentially numbered in the order from the BC edge closest to the BC edge to the BC edge farthest from the BC edge, and the first and last segmentation surfaces of adjacent two rows are sequentially numbered;

[0055] The center point of each segmentation surface is obtained, and the center point is recorded as a smoke concentration detection point;

[0056] The air inlet of the air suction smoke sensor is recorded as an air inlet;

[0057] The air inlet is set at each smoke concentration detection point;

[0058] The initialization duration of the air suction smoke sensor is set;

[0059] The air inlet in the No. 1 segmentation surface is opened, air is sucked into the air suction smoke sensor, the ambient smoke concentration is detected, the measured ambient smoke concentration is recorded as the initial smoke concentration of the No. 1 segmentation surface, the temperature value and the humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and the humidity value is calculated as the temperature value and the humidity value of the No. 1 segmentation surface, the initial smoke concentration of the No. 1 segmentation surface, the temperature value and the humidity value of the No. 1 segmentation surface are substituted into the smoke concentration model equation to obtain the smoke concentration of the No. 1 segmentation surface;

[0060] The air inlet in the No. 1 segmentation surface is closed, the air suction smoke sensor is exhausted according to the initialization duration of the air suction smoke sensor, the exhaust is stopped, the air inlet in the No. 2 segmentation surface is opened, air is sucked into the air suction smoke sensor, the ambient smoke concentration is detected, the measured ambient smoke concentration is recorded as the initial smoke concentration of the No. 2 segmentation surface, the temperature value and the humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and the humidity value is calculated as the temperature value and the humidity value of the No. 2 segmentation surface, the initial smoke concentration of the No. 2 segmentation surface, the temperature value and the humidity value of the No. 2 segmentation surface are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 2 segmentation surface, and the smoke concentration of the No. 2 segmentation surface is obtained through the smoke difference strategy;

[0061] Close the air inlet in the second partition, and the aspirating smoke sensor discharges the gas in the aspirating smoke sensor according to the initialization time length of the aspirating smoke sensor. Open the air inlet in the third partition, and air is sucked into the aspirating smoke sensor. The environmental smoke concentration is detected, and the detected environmental smoke concentration is recorded as the initial smoke concentration of the third partition. The temperature value and the humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and the humidity value is calculated as the temperature value and the humidity value of the third partition. The initial smoke concentration of the third partition, the temperature value and the humidity value of the third partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the third partition, and the smoke concentration of the third partition is obtained through the smoke difference value strategy.

[0062] Close the air inlet in the (N*M)-1 partition, and the aspirating smoke sensor discharges the gas in the aspirating smoke sensor according to the initialization time length of the aspirating smoke sensor. Open the air inlet in the N*M partition, and air is sucked into the aspirating smoke sensor. The environmental smoke concentration is detected, and the detected environmental smoke concentration is recorded as the initial smoke concentration of the N*M partition. The temperature value and the humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and the humidity value is calculated as the temperature value and the humidity value of the N*M partition. The initial smoke concentration of the N*M partition, the temperature value and the humidity value of the N*M partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the N*M partition, and the smoke concentration of the N*M partition is obtained through the smoke difference value strategy.

[0063] Set a smoke concentration alarm threshold, which is a first-level judgment condition for determining whether the smoke concentration reaches the fire alarm.

[0064] When the detected smoke concentration in the partition is less than the smoke concentration alarm threshold, continue to detect the smoke concentration in the next partition.

[0065] When the detected smoke concentration in the partition is greater than or equal to the smoke concentration alarm threshold, an effective fire extinguishing strategy is adopted to perform different level fire alarms.

[0066] Optionally, the smoke difference value strategy specifically includes:

[0067] Obtain the volume of the initial gas in the smoke detection container of the aspirating smoke sensor, denoted as V1.

[0068] Obtain the smoke concentration of the initial gas in the smoke detection container of the aspirating smoke sensor, denoted as C 初 .

[0069] Obtain the volume of the newly inhaled gas in the smoke detection container of the aspirating smoke sensor, denoted as V2.

[0070] Record the smoke concentration of the newly inhaled gas in the smoke detection container of the aspirating smoke sensor as C测 ;

[0071] The volume of the gas in the aspirating smoke detector container after mixing is V1+V2, and the mixing is specifically the mixing of the initial gas in the aspirating smoke detector container and the newly inhaled gas;

[0072] The smoke concentration of the gas in the aspirating smoke detector container after mixing is denoted as C 总 ;

[0073] Then V1·C 初 +V2·C 测 =(V1+V2)·C 总 , so that

[0074] Optionally, the different levels of fire alarm using the effective fire extinguishing strategy specifically includes:

[0075] When the smoke concentration detected in a segmentation surface is >= the smoke concentration alarm threshold, an outward expansion strategy is used to obtain the range of smoke, and the obtained range of smoke is denoted as a target range;

[0076] The positions of the fire extinguishing nozzles closest to the target range in different directions are obtained;

[0077] The effective fire extinguishing range of each fire extinguishing nozzle is obtained;

[0078] The target range and the effective fire extinguishing range of each fire extinguishing nozzle are mapped to a horizontal plane;

[0079] All areas where the mapped surface of the effective fire extinguishing range and the mapped surface of the target range coincide are obtained;

[0080] If the coincident area is equal to the mapped surface of the target range, a fourth level of fire alarm is performed;

[0081] If the mapped surface of the target range x 50% <= the coincident area < the mapped surface of the target range, a third level of fire alarm is performed;

[0082] If 0 < the coincident area < the mapped surface of the target range x 50%, a second level of fire alarm is performed;

[0083] If the coincident area <= 0, a first level of fire alarm is performed.

[0084] Optionally, the outward expansion strategy used to obtain the range of smoke specifically includes:

[0085] The segmentation surface where the smoke concentration detected is >= the smoke concentration alarm threshold is obtained, and is denoted as a first smoke concentration over-threshold surface;

[0086] Acquire all the segmentation surfaces which have common edge and common point with the first smoke concentration over-value surface, and detect the smoke concentration, acquire all the segmentation surfaces whose smoke concentration >= smoke concentration alarm threshold, and mark them as second smoke concentration over-value surfaces;

[0087] Acquire all the segmentation surfaces which have common edge and common point with the second smoke concentration over-value surface, and detect the smoke concentration, acquire all the segmentation surfaces whose smoke concentration >= smoke concentration alarm threshold, and mark them as third smoke concentration over-value surfaces;

[0088] Acquire all the segmentation surfaces which have common edge and common point with the third smoke concentration over-value surface, and detect the smoke concentration, acquire all the segmentation surfaces whose smoke concentration >= smoke concentration alarm threshold, and mark them as fourth smoke concentration over-value surfaces, until the smoke concentration of the segmentation surface < smoke concentration alarm threshold;

[0089] Acquire all the segmentation surfaces whose smoke concentration >= smoke concentration alarm threshold, acquire the position of each segmentation surface, and calculate the area of the region composed of all the segmentation surfaces.

[0090] The present application has the following beneficial effects:

[0091] 1、By assuming that the concentration naturally decreases over time, it can better reflect the process of smoke diffusion in the actual environment, and the model makes the subsequent concentration prediction more scientific and operable, helping to design more effective alarm mechanisms. Through this method, the system can adjust the alarm strategy in time according to environmental changes, reduce the false alarm rate, improve the accuracy of fire warning, and ensure personnel safety. At the same time, understanding the law of concentration change over time provides a basis for further optimizing detection and response time, and promotes the improvement of the overall fire prevention system; The accurate setting of the initial concentration ensures that the model reflects the real environmental state, and the determination of the decay constant α makes the model adapt to the smoke decay characteristics under different conditions. Through reasonable decay constant strategy, the system can more accurately predict the change of smoke concentration, which is helpful for judging fire risk; The introduction of temperature influence factor makes the model consider the influence of environmental temperature on the diffusion speed of smoke. The quantification of this factor not only enriches the complexity of the model, but also improves its adaptability to actual environmental changes. Through the influence strategy of temperature on smoke diffusion, the system can adjust the concentration estimation in real time under different temperature conditions; The influence of humidity on smoke concentration is often ignored, but through the quantification of this factor, the model can more accurately evaluate the real concentration change of smoke. This strategy enables the system to maintain high alertness under high humidity conditions and adjust alarm parameters in time to respond to potential fire risks; The use of aspirating smoke sensors realizes the active detection of environmental smoke concentration. This method has higher sensitivity and response speed compared to traditional passive monitoring. The aspirating design allows the device to analyze the air samples sucked in real time, ensuring faster capture of smoke concentration changes. This real-time monitoring not only improves the timeliness of fire alarm, but also can provide early warning before the fire occurs, thereby gaining more time for personnel evacuation and fire extinguishing measures.

[0092] 2、Selecting a closed experimental space and maintaining constant humidity and temperature provides a controllable environment for the experiment. This setup effectively eliminates external factors that may interfere with the experimental results, ensuring the reliability and accuracy of the experimental data. By controlling these variables, the changes in smoke concentration can be accurately analyzed, thereby improving the repeatability of the experimental results; setting a standard smoke generator allows the experiment to accurately produce smoke of a specific concentration, which is crucial for subsequent concentration measurements; placing a smoke concentration sensor near the smoke generator and recording the initial concentration is an important step in establishing the experimental baseline. This process ensures accurate measurement of smoke concentration at the beginning of the experiment, laying the foundation for subsequent data analysis. By obtaining the initial concentration, researchers can clearly understand the starting state of smoke diffusion, and then effectively monitor the changes in concentration over time; setting the time interval for monitoring smoke concentration helps to systematically collect data and analyze the trend of smoke concentration changes. By setting a reasonable time interval, researchers can obtain multiple concentration data at different time points, thereby achieving dynamic monitoring of the smoke diffusion process. This strategy makes the data collection process more standardized, improving the reliability of the experimental results; regularly recording smoke concentration data is an important step in establishing the concentration change curve. This method effectively reflects the dynamic changes of smoke over time. Through this regular sampling, researchers can clearly understand how the smoke concentration changes over time, which is crucial for subsequent model establishment and analysis. In addition, periodic recording can capture the concentration fluctuations in a short period of time, providing a guarantee for the accuracy of the data; by substituting the recorded concentration data into the formula for calculation, researchers can extract useful information from the raw data and analyze the trend of smoke concentration changes.

[0093] 3. Selecting a temperature-controlled, enclosed space with constant humidity provides a controlled environment for the experiment. This setup effectively eliminates the influence of humidity changes on smoke diffusion, allowing researchers to focus more on the effect of temperature on smoke concentration. By setting multiple different temperature values, researchers can systematically analyze the impact of temperature on smoke concentration. This method allows for comparison of smoke diffusion behavior under different temperature conditions, providing rich data support. Data acquired through temperature sensors not only provides a foundation for subsequent model building but also eliminates temperature-related interference when analyzing smoke concentration changes. Starting the smoke generator and releasing smoke under different temperature conditions allows for real-time observation of smoke diffusion behavior at these temperatures. This process generates rich data for each temperature condition, helping researchers better understand the dynamic effect of temperature on smoke concentration. Setting time intervals for smoke concentration detection facilitates systematic data collection and analysis of smoke concentration changes over time. Multiple measurements effectively reduce the influence of random errors, improving the reliability and accuracy of concentration data. The average smoke concentration at each time point is calculated. This approach helps eliminate random errors in single measurements, thereby improving data reliability. It provides a clear concentration trend for subsequent analysis, facilitating the understanding of smoke diffusion characteristics at different time points. By recording average concentration values, researchers can more effectively compare results under different experimental conditions, providing a solid data foundation for establishing concentration change models. Calculating relative concentration changes using formulas effectively quantifies the impact of temperature on smoke concentration changes. This calculation provides an important basis for model establishment and helps to better describe the relationship between smoke concentration and temperature. Calculating the slope of the decay curve under each temperature condition helps researchers quantitatively analyze the decay rate of smoke concentration. Determining this parameter reveals the influence of temperature on smoke diffusion and concentration reduction. By selecting a baseline temperature and its corresponding value for calculation, a standardized reference is provided for the quantitative analysis of concentration changes. This process allows researchers to compare results under multiple experimental conditions, helping to determine the general impact of temperature on smoke concentration changes. Through analysis combined with a baseline temperature, the interpretation and application of experimental results are enhanced, contributing to providing a theoretical basis for future research and technological development.

[0094] 4. Selecting a controlled, enclosed space with constant temperature and humidity provides a manageable environment for the experiment. This setup eliminates the interference of temperature changes on humidity. Setting multiple humidity conditions allows for a systematic study of the impact of humidity on smoke concentration changes. This stratified experimental design allows for comparison of smoke behavior under different humidity levels, providing rich data support. By acquiring real-time humidity data, researchers can effectively analyze the specific effects of humidity on smoke diffusion and concentration changes, thereby eliminating interference from other variables. Activating the smoke generator under each humidity condition allows for real-time observation of smoke diffusion behavior in different humidity environments. This process generates rich data for each humidity condition, helping researchers to deeply understand how humidity affects the dynamic changes in smoke concentration. Setting fixed time intervals to record smoke concentration allows for systematic data capture, facilitating the analysis of smoke concentration changes over time. This periodic detection method ensures a comprehensive reflection of the dynamic characteristics of concentration changes, contributing to the understanding of the effect of humidity on smoke diffusion. The influence of humidity on smoke concentration is analyzed by using formulas to calculate the relative changes in concentration at different time points, which helps to quantify the impact of humidity on smoke concentration changes. Through the calculation of relative changes, the analysis of experimental results becomes more accurate, providing an important basis for further model building and concentration prediction. This curve can clearly show the trend of smoke concentration changes at different time points, which helps to identify the laws of concentration changes and potential extreme points. By analyzing the change curve, researchers can gain a deeper understanding of the impact of humidity on smoke diffusion, providing support for the establishment of accurate concentration prediction models. Calculating the slope of the decay curve under each humidity condition can quantitatively analyze the impact of humidity on the rate of smoke concentration decay. The determination of this parameter can reveal the laws of smoke diffusion and concentration reduction under different humidity conditions, thus providing an important basis for a deeper understanding of smoke behavior. By selecting a benchmark humidity and its corresponding value for calculation, a standardized reference is provided for the quantitative analysis of humidity changes. Combining the analysis with the benchmark humidity not only enhances the comparability of experimental results but also provides a theoretical basis for the improvement of fire alarm technology.

[0095] 5. Defining the monitoring space as a cuboid target space provides a clear framework for subsequent experiments and data analysis. This design helps to accurately locate smoke concentration detection points and temperature and humidity sensors, ensuring the comparability and validity of experimental data. The cuboid shape also makes the airflow characteristics within the space easier to understand, which is beneficial for simulating smoke diffusion behavior and thus optimizing the smoke monitoring system. Temperature and humidity detection points are set at different locations within the target space to ensure that environmental parameters can be obtained at each key location. This measure improves the comprehensiveness of data collection, enabling it to better reflect environmental changes within the space and thus affect the dynamic characteristics of smoke concentration.

[0096] 6、Through multi-point monitoring, researchers can analyze the impact of temperature and humidity on smoke dispersion at different locations, helping to develop more effective fire warning strategies. Integrating data from each detection point can provide stronger support for the accuracy of the model. Recording the coordinates of the four vertices of the top surface provides a basic coordinate system for segmenting the space. This process ensures the accuracy of subsequent segmentation and numbering, providing support for the geometric characteristics of space division. The target space top surface is evenly divided into multiple regions, allowing the monitored space to be refined into smaller parts. This design helps to comprehensively analyze the changes in smoke concentration. The segmented surface provides a structured approach for subsequent detection and data collection, allowing clear identification of the monitoring situation in each region. By clearly defining the order of the segmentation rows, researchers can systematically analyze the changes in smoke concentration within different rows. This naming method simplifies the data recording and analysis process, making subsequent data processing more efficient. At the same time, the systematic segmentation method helps to compare between each row, revealing the characteristics of smoke dispersion at different locations. Sequential numbering of the segmented columns provides a clear structure for subsequent data collection and analysis. Numbering the segmented surface provides a systematic identification method, ensuring that specific segmented surfaces can be accurately referenced during data collection and analysis. This numbering rule not only enhances the traceability of data, but also improves the efficiency of data processing, making it easier to quickly locate relevant segmented surfaces during subsequent analysis. By differentiating the order of odd and even layers, researchers can more comprehensively analyze the characteristics of smoke changes between different segmented surfaces, thereby providing support for the establishment of accurate smoke monitoring models. Determining the center point of each segmented surface as the smoke concentration detection point can provide representative data for the concentration distribution within the space.

[0097] 7、In each smoke concentration detection point, set up the air inlet, ensure that the smoke concentration in each partition can be monitored in real time. This setting provides convenience for data collection, so that each detection point can independently collect air samples, and the effectiveness of the overall monitoring system is improved. Through the monitoring of different detection points, researchers can more accurately analyze the distribution of smoke in space, which helps to improve the accuracy of fire alarm. Set the initialization time of the air suction smoke sensor to ensure that the device reaches a stable state before starting monitoring. This process helps to improve the reliability of the data and avoid data errors caused by the device not being fully prepared. By opening the air inlet for air suction and smoke concentration detection, real-time environmental data can be ensured. This process provides basic concentration data for partition one, combined with the average temperature and humidity, researchers can accurately assess the smoke concentration of the partition. This comprehensive monitoring method provides accurate data input for the establishment of a smoke concentration model, thereby enhancing the reliability of model prediction. This step effectively integrates environmental parameters, providing important decision-making basis for fire warning. Through the detection of each partition one by one, the changes in smoke concentration in different areas can be accurately captured. This systematic operation process ensures that each partition can independently obtain monitoring data and provides sufficient data support for subsequent analysis.

[0098] 8、By considering the factors of temperature and humidity, researchers can better understand the mechanism of smoke diffusion, which helps to improve the response capability and accuracy of the fire monitoring system. Such continuous monitoring methods enhance the scientific nature of the experiment and provide a strong data basis for subsequent research. Using the smoke difference strategy can reduce the influence of the last inhaled gas on the current smoke concentration measurement, making the measurement result more accurate; setting the smoke concentration alarm threshold is to ensure that the system can timely alarm when the concentration level is appropriate, improving the efficiency of fire warning. By continuing to detect when the smoke concentration does not reach the alarm threshold, the efficiency and flexibility of the monitoring system are ensured. This strategy can maintain the continuity of the monitoring process without fire risk, avoid unnecessary false alarms, and provide support for subsequent partition detection. Once the detected smoke concentration reaches or exceeds the alarm threshold, the system immediately takes effective fire extinguishing strategies, which can quickly respond to potential fires. This measure ensures that the fire can be responded to in time when it occurs, maximizing the safety of personnel and property. Through the hierarchical alarm mechanism, corresponding measures can be taken for different fire grades, improving the scientific nature and effectiveness of fire emergency management.

[0099] 9、Determine the volume of the initial gas in the aspirating smoke detector. This process helps understand the state of the device at the beginning of monitoring and ensures the accuracy of calculations. Recording the initial gas smoke concentration lays the foundation for subsequent data analysis. The accuracy of the initial concentration directly affects the calculation of the concentration after mixing. By obtaining the initial concentration, important information can be provided for dynamic monitoring. Determining the volume of the new inhaled gas provides the necessary parameters for concentration calculation. This process ensures that the amount of new gas added during monitoring can be clearly understood, which helps to evaluate its impact on the total gas volume and concentration. By accurately measuring the volume of new gas, researchers can more effectively analyze the impact of different gas mixtures on smoke concentration. Determining the volume of the mixed gas provides a comprehensive understanding of the total gas state. This process combines the initial gas with the new inhaled gas, allowing researchers to accurately assess the impact of gas volume changes on smoke concentration. Recording the smoke concentration of the mixed gas is a crucial step in the monitoring system. Through this measurement, researchers can evaluate the actual concentration changes after gas mixing, ensuring that the fire monitoring system can respond promptly to potential fire risks. The acquisition of mixed concentration makes the calculation of concentration model more accurate, providing strong data support for subsequent fire alarm decisions. Through the formula the concentration of smoke in the new inhaled gas can be obtained.

[0100] 10、This step ensures that when the smoke concentration reaches the alarm threshold, the spread of the smoke is quickly determined, so that the potential fire risk can be responded to in a timely manner. Through the expansion strategy, the impact of smoke on the surrounding environment can be effectively evaluated, ensuring the accuracy and effectiveness of the alarm system. Identifying the location of the fire extinguishing nozzle closest to the target range helps quickly locate the possible fire source, ensuring that the fire extinguishing device can be quickly activated when a fire occurs. And getting the location of the nearest nozzle can determine the effective fire extinguishing range. Determining the effective fire extinguishing range of each fire extinguishing nozzle is a key step in optimizing the fire extinguishing strategy. This process ensures that when a fire occurs, different nozzles can be reasonably allocated based on their coverage capabilities. By understanding the effective range of each nozzle, the efficiency of fire extinguishing resource allocation can be better evaluated, thereby improving the overall fire extinguishing effect. Mapping the smoke target range and fire extinguishing range to the horizontal plane provides clear visual data for subsequent analysis. This process allows researchers to visually compare the relationship between smoke spread range and fire extinguishing capacity, promoting a comprehensive understanding of fire conditions. Through this spatial mapping, the effectiveness of fire extinguishing nozzles can be more effectively judged, providing a visual basis for optimizing fire extinguishing strategies. Determining the overlap area between the effective fire extinguishing range and the target range helps evaluate the effectiveness of the fire extinguishing strategy. This process can clearly identify which areas can be effectively covered, helping to develop appropriate response measures. Based on the situation of the overlap area, the fire alarm level is determined, which helps to quickly activate the appropriate emergency response measures. This step ensures that when the fire extinguishing nozzle can completely cover the fire area, a four-level fire alarm can be quickly issued, and the fire can be extinguished by opening the fire extinguishing nozzle, so there is no need to call more resources; if the target range mapping face x 50% ≦ overlap area < target range mapping face, then a three-level fire alarm is performed, at which point some resources need to be called to extinguish the fire, but the fire extinguishing nozzle can also play a certain role in extinguishing the fire; if 0 < overlap area < target range mapping face x 50%, then a two-level fire alarm is performed, at which point the effective range of the fire extinguishing nozzle becomes smaller, and more resources need to be called to assist in fire extinguishing; when the overlap area is zero or negative, a one-level fire alarm is performed to deal with potential high risks, at which point the fire extinguishing nozzle has no effect, and all resources need to be coordinated to extinguish the fire.

[0101] 11、By identifying the segmentation surface where the smoke concentration reaches or exceeds the alarm threshold, the high-risk area can be effectively marked, and the initial smoke concentration overvalue point is determined. By expanding to the segmentation surface adjacent to the first overvalue surface, the scope of fire risk can be further evaluated. This step ensures comprehensive monitoring of the surrounding environment and timely identification of potentially affected areas. By obtaining the second smoke concentration overvalue surface, a more accurate fire risk assessment can be formed, promoting the development of targeted emergency response plans. This layer-by-layer expansion strategy enhances the effectiveness of the fire monitoring system, making the fire response mechanism more flexible and able to dynamically adjust according to actual risks. By collecting all smoke concentration overvalue segmentation surfaces and their locations, a comprehensive analysis of the affected areas can be conducted. Calculating the area of the overvalue surface composition area helps to determine the risk level and provides a basis for subsequent fire extinguishing strategies. Through systematic data organization and analysis, the efficiency of fire monitoring and response work can be effectively improved, providing a solid guarantee for public safety. BRIEF DESCRIPTION OF DRAWINGS

[0102] Figure 1 Schematic diagram for space segmentation and naming of the present application.

[0103] Figure 2 Schematic diagram for smoke concentration overvalue external expansion of the segmentation surface of the present application. DETAILED DESCRIPTION

[0104] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0105] Embodiment, a method for lithium battery fire alarm based on air suction smoke sensing, comprising:

[0106] Determine the initial model of smoke concentration, assuming that the smoke concentration C S decreases due to natural diffusion within time t;

[0107] Set C S =C0·e -αt , where C0 is the initial concentration of smoke, and a is the smoke attenuation constant without external influence, which is determined by the smoke attenuation constant strategy;

[0108] Define the temperature influence factor k T as k T =1+θ(T-T0), where T0 is 25℃, and θ represents the coefficient of temperature acceleration on smoke diffusion, which is determined by the temperature acceleration on smoke diffusion strategy;

[0109] The smoke concentration model after adding the temperature influence factor is:

[0110]

[0111] Define the humidity influence factor k H = 1 + k where H0 is the humidity of 50%, and k is the humidity influence factor. represents the influence coefficient of humidity on smoke concentration reduction, which is determined by the humidity influence strategy on smoke concentration reduction

[0112] After adding the humidity influence to the model, the smoke concentration model equation is:

[0113]

[0114] The smoke concentration in the environment is obtained by the aspirating smoke sensor.

[0115] By assuming that the concentration naturally decreases over time, the process of smoke diffusion in the actual environment can be better reflected, and the model makes the subsequent concentration prediction more scientific and operable, helping to design a more effective alarm mechanism. Through this method, the system can adjust the alarm strategy in a timely manner according to environmental changes, reduce the false alarm rate, improve the accuracy of fire warning, and ensure personnel safety. At the same time, understanding the law of concentration change over time provides a basis for further optimizing the detection and response time, and promotes the improvement of the overall fire prevention system; accurate setting of the initial concentration ensures that the model reflects the real environmental state, and determination of the decay constant α makes the model adapt to the smoke decay characteristics under different conditions. Through a reasonable decay constant strategy, the system can more accurately predict the change of smoke concentration, which is helpful for judging fire risk; the introduction of the temperature influence factor makes the model consider the influence of environmental temperature on the diffusion speed of smoke. The quantification of this factor not only enriches the complexity of the model, but also improves its adaptability to actual environmental changes. Through the temperature influence strategy on smoke diffusion, the system can adjust the concentration estimation in real time under different temperature conditions; the influence of humidity on smoke concentration is often ignored, but through the quantification of this factor, the model can more accurately evaluate the real concentration change of smoke. This strategy enables the system to maintain high alertness under high humidity conditions and adjust alarm parameters in a timely manner to respond to potential fire risks; the use of aspirating smoke sensors enables active detection of environmental smoke concentration. This method has higher sensitivity and response speed than traditional passive monitoring. The aspirating design allows the device to analyze air samples sucked in real time, ensuring faster capture of smoke concentration changes. This real-time monitoring not only improves the timeliness of fire alarm, but also enables early warning before the occurrence of fire, thereby gaining more time for personnel evacuation and fire extinguishing measures.

[0116] The strategy of determining alpha through smoke attenuation constant, specifically includes:

[0117] Select a closed experimental space, keep humidity and temperature constant;

[0118] Set a standard smoke generator in the closed experimental space;

[0119] Set a smoke concentration sensor near the smoke generator, record the initial concentration C0;

[0120] Set the monitoring interval of smoke concentration, recorded as smoke concentration detection interval;

[0121] Start the smoke generator;

[0122] Get the current time point;

[0123] From the current time point, record the smoke concentration C S (t) every smoke concentration detection interval;

[0124] Substitute the recorded concentration data into the formula C S (t) = C0·e -αt , calculate to obtain the value of alpha.

[0125] Selecting a closed experimental space and maintaining constant humidity and temperature provides a controllable environment for the experiment. This setup effectively eliminates external factors that may interfere with the experimental results, ensuring the reliability and accuracy of the data. By controlling these variables, the changes in smoke concentration can be accurately analyzed, improving the repeatability of the experimental results. Setting a standard smoke generator allows for the precise production of smoke at specific concentrations, which is crucial for subsequent concentration measurements. Placing smoke concentration sensors near the smoke generator and recording the initial concentration is an important step in establishing the baseline for the experiment. This process ensures accurate measurement of smoke concentration at the start of the experiment, laying the foundation for subsequent data analysis. By obtaining the initial concentration, researchers can clearly understand the starting state of smoke diffusion and effectively monitor the changes in concentration over time. Setting time intervals for monitoring smoke concentration helps systematically collect data and analyze the trends in smoke concentration changes. By setting reasonable time intervals, researchers can obtain multiple concentration data points at different times, allowing for dynamic monitoring of the smoke diffusion process. This strategy makes the data collection process more standardized and improves the reliability of the experimental results. Regularly recording smoke concentration data is an important step in establishing the concentration change curve. This method effectively reflects the dynamic changes of smoke over time. By regularly sampling, researchers can clearly understand how smoke concentration changes over time, which is crucial for subsequent model establishment and analysis. In addition, periodic recording can capture short-term concentration fluctuations, ensuring data accuracy. By substituting the recorded concentration data into the formula, researchers can extract useful information from the raw data and analyze the trends in smoke concentration changes.

[0126] The strategy of determining θ by the influence of temperature on smoke diffusion acceleration specifically includes:

[0127] Select a closed space that can adjust the temperature and keep the humidity constant;

[0128] Set multiple different temperature values;

[0129] Use a temperature sensor to record the temperature value T under each temperature condition;

[0130] Start the smoke generator and release smoke at each temperature value;

[0131] Set the smoke concentration detection time interval;

[0132] Measure multiple smoke concentration values at each time point;

[0133] For any time point, take the average of the smoke concentration measured at this time point as the smoke concentration value measured at the current time point, and record the data as (T, C S (t));

[0134] For each temperature value, use Calculate the relative concentration change at each time point;

[0135] Obtain the curve of concentration change over time (C S (t), V S (t));

[0136] Calculate the slope of the decay curve at each temperature condition, t i is the i-th time point;

[0137] Determine the value of θ by selecting a reference temperature T0 and the corresponding α(T0), and using the formula α(T) = α0·(1+θ(T-T0)).

[0138] Selecting a temperature-adjustable closed space and keeping the humidity constant provides a controllable environment for the experiment, which effectively eliminates the influence of humidity changes on smoke diffusion, allowing researchers to focus more on the impact of temperature on smoke concentration changes. By setting multiple different temperature values, researchers can systematically analyze the impact of temperature on smoke concentration. This method allows for comparison of smoke diffusion behavior under different temperature conditions, providing rich data support. The data obtained by the temperature sensor not only provides a basis for subsequent model establishment, but also eliminates the variable interference of temperature when analyzing smoke concentration changes. Starting the smoke generator and releasing smoke under different temperature conditions allows real-time observation of smoke diffusion behavior at these temperatures. This process generates rich data for each temperature condition, helping researchers better understand the dynamic impact of temperature on smoke concentration. Setting the time interval for smoke concentration detection helps systematically collect data and analyze the change of smoke concentration over time. Through multiple measurements, the influence of accidental errors can be effectively reduced, improving the reliability and accuracy of concentration data. Calculating the average smoke concentration at each time point helps eliminate accidental errors in single measurements, thereby improving data reliability. This approach provides a clear concentration trend for subsequent analysis, making it easier to understand the smoke diffusion characteristics at different time points. By recording the average concentration value, researchers can more effectively compare results under different experimental conditions, providing a solid data foundation for the establishment of concentration change models. Calculating the relative concentration change can effectively quantify the impact of temperature on smoke concentration changes. The calculation of relative concentration change provides an important basis for model establishment, helping to better describe the relationship between smoke concentration and temperature. Calculating the slope of the decay curve under each temperature condition helps researchers quantitatively analyze the decay rate of smoke concentration. This parameter determination can reveal the impact of temperature on smoke diffusion and concentration reduction. By selecting a reference temperature and its corresponding value for calculation, a standardized reference is provided for quantitative analysis of concentration changes. This process allows researchers to compare multiple experimental conditions, helping to determine the universal impact of temperature on smoke concentration changes. Through combined analysis with the reference temperature, the interpretation and application of experimental results are enhanced, providing a theoretical basis for future research and technology development.

[0139] The strategy for determining the impact of humidity on smoke concentration reduction Specifically includes:

[0140] Select a closed space that can control humidity and keep the temperature constant.

[0141] Set multiple humidity conditions.

[0142] Use a humidity sensor to record the humidity value H under each humidity condition.

[0143] Start the smoke generator to release smoke at each humidity condition respectively;

[0144] Set a fixed time interval, record the smoke concentration C after each time interval S (t);

[0145] Use Calculate the relative change of concentration at each time point;

[0146] Obtain the curve of concentration changing with time (C S (t), V S (t));

[0147] Calculate the slope of the decay curve under each humidity condition, t i is the ith time point;

[0148] By selecting a reference humidity H0 and the corresponding a(H0), combined with the formula Obtain

[0149] The selection of a closed space capable of controlling humidity and maintaining constant temperature provides a controllable environment for the experiment, which eliminates the interference of temperature changes on humidity, sets multiple humidity conditions, and systematically studies the influence of humidity on smoke concentration changes. This layered experimental design allows for comparison of smoke behavior at different humidity levels, providing rich data support. By obtaining real-time humidity data, researchers can effectively analyze the specific effects of humidity on smoke diffusion and concentration changes, thereby eliminating the interference of other variables. Starting the smoke generator under each humidity condition allows real-time observation of smoke diffusion behavior in different humidity environments, generating rich data for each humidity condition and helping researchers understand how humidity affects the dynamic changes of smoke concentration. Recording smoke concentration at fixed time intervals systematically captures data and facilitates analysis of smoke concentration changes over time. This periodic detection method ensures that the dynamic characteristics of concentration changes are fully reflected, helping to understand the impact of humidity on the smoke diffusion process. Using formulas to calculate the relative changes in concentration at each time point helps to quantify the impact of humidity on smoke concentration changes. Through the calculation of relative changes, the analysis of experimental results becomes more accurate, providing an important basis for further model establishment and concentration prediction. This curve clearly shows the trend of smoke concentration changes at different time points, helping to identify the rules and potential extreme points of concentration changes. By analyzing the change curve, researchers can gain a deeper understanding of the impact of humidity on smoke diffusion and provide support for establishing accurate concentration prediction models. Calculating the slope of the decay curve under each humidity condition allows for quantitative analysis of the impact of humidity on the decay rate of smoke concentration. The determination of this parameter reveals the rules of smoke diffusion and concentration reduction under different humidity conditions, providing an important basis for a deeper understanding of smoke behavior. By selecting a reference humidity and its corresponding value for calculation, a standardized reference is provided for quantitative analysis of humidity changes. Combining the analysis of reference humidity not only enhances the comparability of experimental results, but also provides a theoretical basis for the improvement of fire alarm technology.

[0150] Referring to Figure 1 , the initial smoke concentration in the environment is obtained by the aspirating smoke detector, specifically including:

[0151] The space to be monitored is denoted as the target space, which is a cuboid;

[0152] The center positions of the top surface and the four side surfaces of the target space are obtained as temperature and humidity detection points, denoted as the first, second, third, fourth, and fifth positions, respectively;

[0153] Obtaining four vertices of the top surface of the target space, respectively denoted as A point, B point, C point and D point, wherein A and B points are on the same side, B and C points are on the same side, C and D points are on the same side, and D and A points are on the same side;

[0154] The top surface of the target space is evenly divided into N rows and M columns, and the area surrounded by the division line is denoted as a division surface;

[0155] The rows divided by the top surface in the order from the closest to the AB side to the farthest from the AB side are sequentially denoted as the first row, the second row, …, the Nth row;

[0156] The columns divided by the top surface in the order from the closest to the AD side to the farthest from the AD side are sequentially denoted as the first column, the second column, …, the Mth column;

[0157] The division surfaces are numbered, specifically, the division surface of the first row and the first column is denoted as No. 1 division surface, sequentially numbered from the first row to the Nth row, the division surfaces of the odd layers are sequentially numbered in the order from the closest to the AD side to the farthest from the AD side, the division surfaces of the even layers are sequentially numbered in the order from the closest to the BC side to the farthest from the BC side, and the serial numbers of the first and last division surfaces of adjacent rows are connected;

[0158] Obtaining the center point of each division surface, and denoting the center point as a smoke concentration detection point;

[0159] The air inlet of the air suction type smoke sensor is denoted as an air inlet;

[0160] Setting the air inlet at each smoke concentration detection point;

[0161] Setting the initialization duration of the air suction type smoke sensor;

[0162] Opening the air inlets in the No. 1 division surface, sucking air into the air suction type smoke sensor, detecting the environmental smoke concentration, denoting the detected environmental smoke concentration as the initial smoke concentration of the No. 1 division surface, obtaining the temperature value and humidity value of each temperature and humidity detection point, and calculating the average value of the temperature value and humidity value, taking the average value as the temperature value and humidity value of the No. 1 division surface, and substituting the initial smoke concentration of the No. 1 division surface, the temperature value and humidity value of the No. 1 division surface into the smoke concentration model equation to obtain the smoke concentration of the No. 1 division surface;

[0163] Close the air inlet in the first partition, and the air aspirator discharges the gas in the air aspirator according to the initialization time of the air aspirator, stops the discharge, opens the air inlet in the second partition, and air is sucked into the air aspirator, the ambient smoke concentration is detected, the ambient smoke concentration is recorded as the initial smoke concentration of the second partition, the temperature value and humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and humidity value is calculated, the average value is taken as the temperature value and humidity value of the second partition, the initial smoke concentration of the second partition, the temperature value and humidity value of the second partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the second partition, and the smoke concentration of the second partition is obtained through the smoke difference value strategy;

[0164] Close the air inlet in the second partition, and the air aspirator discharges the gas in the air aspirator according to the initialization time of the air aspirator, opens the air inlet in the third partition, and air is sucked into the air aspirator, the ambient smoke concentration is detected, the ambient smoke concentration is recorded as the initial smoke concentration of the third partition, the temperature value and humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and humidity value is calculated, the average value is taken as the temperature value and humidity value of the third partition, the initial smoke concentration of the third partition, the temperature value and humidity value of the third partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the third partition, and the smoke concentration of the third partition is obtained through the smoke difference value strategy;

[0165] Close the air inlet in the (N*M)-1 partition, and the air aspirator discharges the gas in the air aspirator according to the initialization time of the air aspirator, opens the air inlet in the N*M partition, and air is sucked into the air aspirator, the ambient smoke concentration is detected, the ambient smoke concentration is recorded as the initial smoke concentration of the N*M partition, the temperature value and humidity value of each temperature and humidity detection point are obtained, and the average value of the temperature value and humidity value is calculated, the average value is taken as the temperature value and humidity value of the N*M partition, the initial smoke concentration of the N*M partition, the temperature value and humidity value of the N*M partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the N*M partition, and the smoke concentration of the N*M partition is obtained through the smoke difference value strategy;

[0166] Set a smoke concentration alarm threshold, which is a first-level judgment condition for determining whether the smoke concentration reaches the fire alarm;

[0167] When the smoke concentration detected in the partition is < the smoke concentration alarm threshold, continue to detect the smoke concentration in the next partition;

[0168] When the smoke concentration detected in the partition is >= the smoke concentration alarm threshold, an effective fire extinguishing strategy is adopted for different grade fire alarm.

[0169] The target space is determined to be a cuboid, providing a clear framework for subsequent experiments and data analysis. This setup helps to precisely locate the smoke concentration detection points and the positions of the temperature and humidity sensors, ensuring the comparability and effectiveness of the experimental data. Temperature and humidity detection points are set at different locations within the target space to ensure that environmental parameters can be obtained at key locations. This measure improves the comprehensiveness of data collection, better reflecting environmental changes within the space and thus influencing the dynamic characteristics of smoke concentration. Through multi-point monitoring, researchers can analyze the impact of temperature and humidity at different locations on smoke dispersion, contributing to the development of more effective fire warning strategies. The integration of data from each detection point can provide stronger support for the accuracy of the model. The coordinates of the four top vertices are recorded, providing a basic coordinate system for the segmentation of the space. This process ensures the accuracy of subsequent segmentation and numbering, supporting the geometric characteristics of space division. The top surface is evenly divided into multiple regions, allowing for a more detailed analysis of smoke concentration changes. The segmented surface provides a structured approach for subsequent detection and data collection, allowing for clear identification of the monitoring situation in each region. By specifying the order of the segmentation rows, researchers can systematically analyze the changes in smoke concentration within different rows. Meanwhile, the systematic segmentation method facilitates comparisons between rows, revealing the characteristics of smoke dispersion at different locations. The columns of the segmented top surface are sequentially numbered, providing a clear structure for subsequent data collection and analysis. Numbering the segmented surface provides a systematic identification method, ensuring accurate reference to specific segmented surfaces during data collection and analysis. This numbering rule not only enhances data traceability but also improves data processing efficiency, facilitating quick location of relevant segmented surfaces during subsequent analysis. By arranging the odd and even layers differently, researchers can more comprehensively analyze the characteristics of smoke changes between different segmented surfaces, thereby supporting the establishment of an accurate smoke monitoring model. Determining the center point of each segmented surface as a smoke concentration detection point provides representative data on the concentration distribution within the space. Setting air inlets at each smoke concentration detection point ensures real-time monitoring of smoke concentration within each segmented surface. This setup facilitates data collection, allowing each detection point to independently collect air samples, enhancing the effectiveness of the overall monitoring system. Through monitoring of different detection points, researchers can more accurately analyze the distribution of smoke within the space, contributing to the improvement of fire alarm accuracy. Setting the initialization duration of the air-suction smoke sensor ensures that the device reaches a stable state before starting monitoring. This process helps to improve data reliability and avoid errors caused by devices not being fully prepared. By opening the air inlet for air suction and smoke concentration detection, real-time environmental data can be obtained. This process provides basic concentration data for the first segmented surface, and combined with the average temperature and humidity, researchers can accurately assess the smoke concentration of the segmented surface.This comprehensive monitoring method provides accurate data input for the establishment of smoke concentration models, thereby enhancing the reliability of model predictions. This step effectively integrates environmental parameters, providing important decision-making basis for fire warning. By detecting each partition surface one by one, it ensures that the changes in smoke concentration in different areas can be accurately captured. This systematic operational process ensures that each partition surface can independently obtain monitoring data and provides sufficient data support for subsequent analysis. By considering temperature and humidity factors, researchers can better understand the mechanism of smoke diffusion, helping to improve the response capability and accuracy of the fire monitoring system. Such continuous monitoring enhances the scientific nature of the experiment and provides a strong data foundation for subsequent research. The use of smoke difference strategy can reduce the influence of the last inhaled gas on the current smoke concentration measurement, making the measurement result more accurate; setting the smoke concentration alarm threshold is to ensure that the system can timely alarm when the appropriate concentration level is reached, improving the efficiency of fire warning. By continuing to detect when the smoke concentration does not reach the alarm threshold, the monitoring system's efficiency and flexibility are ensured. This strategy can maintain the continuity of the monitoring process without fire risk, avoiding unnecessary false alarms, while providing support for subsequent partition surface detection. Once the detected smoke concentration reaches or exceeds the alarm threshold, the system immediately takes effective fire extinguishing strategies, which can quickly respond to potential fires. This measure ensures that the fire can be responded to in time when it occurs, maximizing the safety of personnel and property. Through the hierarchical alarm mechanism, appropriate measures can be taken for different fire levels, improving the scientificity and effectiveness of fire emergency management.

[0170] The smoke difference strategy specifically includes:

[0171] The volume of the initial gas in the smoke detection container of the smoke aspirator is obtained, denoted as V1;

[0172] The smoke concentration of the initial gas in the smoke detection container of the smoke aspirator is obtained, denoted as c 初 ;

[0173] The volume of the newly inhaled gas in the smoke detection container of the smoke aspirator is obtained, denoted as V2;

[0174] The smoke concentration of the newly inhaled gas in the smoke detection container of the smoke aspirator is denoted as C 测 ;

[0175] The volume of the mixed gas in the smoke detection container of the smoke aspirator after mixing is V1+V2, and the mixing is specifically the mixing of the initial gas and the newly inhaled gas in the smoke detection container of the smoke aspirator;

[0176] The smoke concentration of the mixed gas in the smoke detection container of the smoke aspirator is denoted as C 总;

[0177] then V1*C 初 + V2*C 测 = (V1+V2)*C 总 , thus obtaining

[0178] Determining the volume of the initial gas in the aspirating smoke detector helps understand the state of the device at the beginning of monitoring and ensures the accuracy of calculations. Recording the initial gas smoke concentration lays the foundation for subsequent data analysis, and the accuracy of the initial concentration directly affects the calculation of the concentration after mixing. By obtaining the initial concentration, important information can be provided for dynamic monitoring, and the volume of the new inhaled gas is determined, providing necessary parameters for concentration calculation. This process ensures that the amount of new gas added can be clearly understood during monitoring, which helps to evaluate its impact on the total gas volume and concentration. By accurately measuring the volume of new gas, researchers can more effectively analyze the impact of different gas mixtures on smoke concentration. Determining the volume of the mixed gas provides a comprehensive understanding of the total gas state. This process combines the initial gas with the new inhaled gas, allowing researchers to accurately evaluate the impact of gas volume changes on smoke concentration. Recording the smoke concentration of the mixed gas is a crucial step in the monitoring system. Through this measurement, researchers can evaluate the actual concentration changes after gas mixing, ensuring that the fire monitoring system can respond to potential fire risks in a timely manner. The acquisition of mixed concentration makes the calculation of concentration model more accurate, providing strong data support for subsequent fire alarm decision-making. Through the formula the concentration of smoke in the new inhaled gas can be obtained.

[0179] The different levels of fire alarm using effective fire extinguishing strategies specifically include:

[0180] When the detected smoke concentration in a partition surface is >= smoke concentration alarm threshold, use the expansion strategy to obtain the range of smoke, and record the obtained smoke range as the target range;

[0181] Obtain the position of the fire extinguishing nozzle closest to the target range in different directions;

[0182] Obtain the effective fire extinguishing range of each fire extinguishing nozzle;

[0183] Map the target range and each effective fire extinguishing range to the horizontal plane;

[0184] Obtain all areas where the mapped surface of the effective fire extinguishing range coincides with the mapped surface of the target range;

[0185] If the coincident area is equal to the mapped surface of the target range, a fourth level of fire alarm is performed;

[0186] If the overlapping area is greater than or equal to 50% of the target range, a four-level fire alarm is triggered, which means that the fire can be extinguished by the fire sprinkler without the need for additional resources. If the overlapping area is between 50% and 0% of the target range, a three-level fire alarm is triggered, indicating that the fire sprinkler can partially extinguish the fire, and some additional resources may be needed. If the overlapping area is between 0% and 50% of the target range, a two-level fire alarm is triggered, indicating that the fire sprinkler's effective range is decreasing, and more resources may be needed to extinguish the fire. If the overlapping area is 0, a one-level fire alarm is triggered, indicating a high risk of fire, and all available resources should be mobilized to extinguish the fire.

[0187] If the overlapping area is greater than or equal to 50% of the target range, a four-level fire alarm is triggered, which means that the fire can be extinguished by the fire sprinkler without the need for additional resources. If the overlapping area is between 50% and 0% of the target range, a three-level fire alarm is triggered, indicating that the fire sprinkler can partially extinguish the fire, and some additional resources may be needed. If the overlapping area is between 0% and 50% of the target range, a two-level fire alarm is triggered, indicating that the fire sprinkler's effective range is decreasing, and more resources may be needed to extinguish the fire. If the overlapping area is 0, a one-level fire alarm is triggered, indicating a high risk of fire, and all available resources should be mobilized to extinguish the fire.

[0188] If the overlapping area is greater than or equal to 50% of the target range, a four-level fire alarm is triggered, which means that the fire can be extinguished by the fire sprinkler without the need for additional resources. If the overlapping area is between 50% and 0% of the target range, a three-level fire alarm is triggered, indicating that the fire sprinkler can partially extinguish the fire, and some additional resources may be needed. If the overlapping area is between 0% and 50% of the target range, a two-level fire alarm is triggered, indicating that the fire sprinkler's effective range is decreasing, and more resources may be needed to extinguish the fire. If the overlapping area is 0, a one-level fire alarm is triggered, indicating a high risk of fire, and all available resources should be mobilized to extinguish the fire.

[0189] If the overlapping area is greater than or equal to 50% of the target range, a four-level fire alarm is triggered, which means that the fire can be extinguished by the fire sprinkler without the need for additional resources. If the overlapping area is between 50% and 0% of the target range, a three-level fire alarm is triggered, indicating that the fire sprinkler can partially extinguish the fire, and some additional resources may be needed. If the overlapping area is between 0% and 50% of the target range, a two-level fire alarm is triggered, indicating that the fire sprinkler's effective range is decreasing, and more resources may be needed to extinguish the fire. If the overlapping area is 0, a one-level fire alarm is triggered, indicating a high risk of fire, and all available resources should be mobilized to extinguish the fire.

[0190] Reference Figure 2The outer expansion strategy is used to obtain the scope of smoke, specifically including:

[0191] Obtain the segmentation surface where the smoke concentration is detected to be >= smoke concentration alarm threshold, denoted as the first-level smoke concentration overvalue surface;

[0192] Obtain all segmentation surfaces that share edges and points with the first-level smoke concentration overvalue surface, and detect the smoke concentration. Obtain all segmentation surfaces where the smoke concentration is >= smoke concentration alarm threshold, denoted as the second-level smoke concentration overvalue surface;

[0193] Obtain all segmentation surfaces that share edges and points with the second-level smoke concentration overvalue surface, and detect the smoke concentration. Obtain all segmentation surfaces where the smoke concentration is >= smoke concentration alarm threshold, denoted as the third-level smoke concentration overvalue surface;

[0194] Obtain all segmentation surfaces that share edges and points with the third-level smoke concentration overvalue surface, and detect the smoke concentration. Obtain all segmentation surfaces where the smoke concentration is >= smoke concentration alarm threshold, denoted as the fourth-level smoke concentration overvalue surface, until the smoke concentration value of the segmentation surface is < smoke concentration alarm threshold;

[0195] Obtain all segmentation surfaces where the smoke concentration value is >= smoke concentration alarm threshold, obtain the position of each segmentation surface, and calculate the area of the region composed of all segmentation surfaces.

[0196] By identifying the segmentation surface where the smoke concentration reaches or exceeds the alarm threshold, the high-risk area can be effectively marked. At this time, the initial smoke concentration overvalue point is determined. By expanding to the segmentation surface adjacent to the first overvalue surface, the scope of fire risk can be further evaluated. This step ensures comprehensive monitoring of the surrounding environment and timely identification of potentially affected areas. By obtaining the second-level smoke concentration overvalue surface, more accurate fire risk assessment can be formed, promoting the development of targeted emergency response plans. This layer-by-layer expansion strategy enhances the effectiveness of the fire monitoring system, making the fire response mechanism more flexible and able to dynamically adjust according to actual risks. By collecting all smoke concentration overvalue segmentation surfaces and their positions, a comprehensive analysis of the affected area can be performed. Calculating the area of the overvalue surface region helps to clarify the risk level and provides a basis for subsequent fire extinguishing strategies. Through this systematic data collection and analysis, the efficiency of fire monitoring and response work can be effectively improved, providing a solid guarantee for public safety.

[0197] It is to be noted that, in the present text, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0198] The above description is merely preferred embodiments of the present application, and it should be pointed out that, for those skilled in the art, some improvements and refinements can be made without departing from the technical principles of the present application, and these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A method of detecting a fire based on an aspirating smoke sensing lithium battery fire alarm, characterized in that, The smoke concentration model with the temperature influence added is: An initial model for determining smoke concentration C S decreases due to natural diffusion in time t; Setting C S = C0·e -αt where C0is the initial concentration of the smoke, and a is the smoke attenuation constant without external influence, which is determined by the smoke attenuation constant strategy. Defining a temperature impact factor k T for k T = 1 + θ (T - T0), where T0 is 25°C, and θ represents a coefficient of temperature acceleration of smoke diffusion, which is determined by a temperature acceleration of smoke diffusion impact strategy; The smoke concentration model equation with the humidity influence added is: Definition of humidity influence factor k H To where H0 is humidity 50%, denotes the humidity influence coefficient on the smoke concentration drop, determined by the humidity influence strategy on the smoke concentration drop The smoke concentration in the environment is obtained by the aspirating smoke sensor. The determination of α by the smoke attenuation constant strategy specifically includes:

2. The method of claim 1, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. A closed experimental space is selected, and the humidity and temperature are kept constant; A standard smoke generator is arranged in the closed experimental space; A smoke concentration sensor is arranged near the smoke generator to record the initial concentration C0; A smoke concentration detection interval is set, denoted as smoke concentration detection interval; The smoke generator is started; The current time point is obtained; The determination of θ by the temperature influence on smoke diffusion acceleration strategy specifically includes: From the current time point, the smoke density C is recorded every other smoke density detection interval S (t); The recorded concentration data is substituted into the equation C S (t) = Co e -αt The value of a is calculated.

3. The method of claim 1, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. A closed space with adjustable temperature is selected, and the humidity is kept constant; Multiple different temperature values are set; A temperature sensor is used to record the temperature value T under each temperature condition; The smoke generator is started, and smoke is released under each temperature value; A smoke concentration detection time interval is set; Multiple smoke concentration values are measured at each time point; A reference temperature T0 and the corresponding α(T0) are selected, and the value of θ is obtained by combining the formula α(T) = α0·(1+θ(T-T0)). For any one time point, the average of the smoke concentration measured at this time point is recorded as the value of the smoke concentration measured at the current time point, and the data is recorded as (T, C S (t)); For each temperature value, the relative concentration change at each time point is calculated using the formula Ct = C0 * exp(-k * t) Obtaining a curve of the concentration as a function of time (C S (t), V S (t)) calculating the slope of the decay curve for each temperature condition, t i is the i-th time point; A closed space with controllable humidity is selected, and the temperature is kept constant; 4. The method of claim 1, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. The strategy determination by the influence of humidity on smoke concentration reduction Specifically comprises: Multiple humidity conditions are set; A humidity sensor is used to record the humidity value H under each humidity condition; The smoke generator is started under each humidity condition to release smoke; The initial smoke concentration in the environment is obtained by the aspirating smoke sensor, and specifically includes: Setting a fixed time interval, recording the smoke concentration C after each time interval S (t); Using the formula The relative change in concentration at each time point was calculated; Obtaining a curve of the concentration as a function of time (C S (t), V S (t)) calculating the slope of the decay curve for each humidity condition, t i is the i-th time point; By choosing a reference humidity H0and the corresponding a(H0), in combination with the formula is obtained 5. The method of claim 1, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. The space to be monitored is denoted as a target space, and the target space is a cuboid; The center positions of the top surface and the four side surfaces of the target space are obtained as temperature and humidity detection points, denoted as a first position, a second position, a third position, a fourth position, and a fifth position; The four vertices of the top surface of the target space are obtained, denoted as A point, B point, C point, and D point, wherein A and B points are on the same side, B and C points are on the same side, C and D points are on the same side, and D and A points are on the same side; The top surface of the target space is evenly divided into N rows and M columns, and the area surrounded by the division lines is denoted as a division surface; The rows divided by the top surface are sequentially denoted as a first row, a second row,..., and an Nth row, in order from the closest to the AB side to the farthest from the AB side; The columns divided by the top surface are sequentially denoted as a first column, a second column,..., and an Mth column, in order from the closest to the AD side to the farthest from the AD side; The division surfaces are numbered, specifically, the division surface of the first row and the first column is denoted as a first division surface, and the numbering is sequentially performed from the first row to the Nth row, the division surfaces of the odd layers are sequentially numbered in order from the closest to the AD side to the farthest from the AD side, and the division surfaces of the even layers are sequentially numbered in order from the closest to the BC side to the farthest from the BC side, and the serial numbers of the first and last division surfaces of adjacent rows are connected; The center points of each division surface are obtained, and the center points are denoted as smoke concentration detection points; The air inlet of the aspirating smoke sensor is denoted as an air inlet; The air inlets are arranged at each smoke concentration detection point; An initialization time interval of the aspirating smoke sensor is set; ​ Opening the air inlet in the first partition, air is sucked into the air suction type smoke sensor to detect the ambient smoke concentration, and the detected ambient smoke concentration is recorded as the initial smoke concentration of the first partition. The temperature and humidity values of each temperature and humidity detection point are obtained, and the average values of the temperature and humidity values are calculated. The average values are taken as the temperature and humidity values of the first partition. The initial smoke concentration of the first partition, the temperature and humidity values of the first partition are substituted into the smoke concentration model equation to obtain the smoke concentration of the first partition. Closing the air inlet in the first partition, the air suction type smoke sensor is arranged to exhaust the gas in the air suction type smoke sensor for the initialization time of the air suction type smoke sensor. The exhaust is stopped, the air inlet in the second partition is opened, and air is sucked into the air suction type smoke sensor to detect the ambient smoke concentration. The detected ambient smoke concentration is recorded as the initial smoke concentration of the second partition. The temperature and humidity values of each temperature and humidity detection point are obtained, and the average values of the temperature and humidity values are calculated. The average values are taken as the temperature and humidity values of the second partition. The initial smoke concentration of the second partition, the temperature and humidity values of the second partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the second partition. The smoke concentration of the second partition is obtained through the smoke difference value strategy. Closing the air inlet in the second partition, the air suction type smoke sensor is arranged to exhaust the gas in the air suction type smoke sensor for the initialization time of the air suction type smoke sensor. The exhaust is stopped, the air inlet in the third partition is opened, and air is sucked into the air suction type smoke sensor to detect the ambient smoke concentration. The detected ambient smoke concentration is recorded as the initial smoke concentration of the third partition. The temperature and humidity values of each temperature and humidity detection point are obtained, and the average values of the temperature and humidity values are calculated. The average values are taken as the temperature and humidity values of the third partition. The initial smoke concentration of the third partition, the temperature and humidity values of the third partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the third partition. The smoke concentration of the third partition is obtained through the smoke difference value strategy. Closing the air inlet in the (N*M)-1 partition, the air suction type smoke sensor is arranged to exhaust the gas in the air suction type smoke sensor for the initialization time of the air suction type smoke sensor. The exhaust is stopped, the air inlet in the N*M partition is opened, and air is sucked into the air suction type smoke sensor to detect the ambient smoke concentration. The detected ambient smoke concentration is recorded as the initial smoke concentration of the N*M partition. The temperature and humidity values of each temperature and humidity detection point are obtained, and the average values of the temperature and humidity values are calculated. The average values are taken as the temperature and humidity values of the N*M partition. The initial smoke concentration of the N*M partition, the temperature and humidity values of the N*M partition are substituted into the smoke concentration model equation to obtain the secondary smoke concentration of the N*M partition. The smoke concentration of the N*M partition is obtained through the smoke difference value strategy. A smoke concentration alarm threshold is set, which is used to define whether the smoke concentration reaches the first level judgment condition of fire alarm; When the detected smoke concentration in the partition is less than the smoke concentration alarm threshold, the detection of the smoke concentration in the next partition is continued. When the smoke concentration detected in a partitioned surface is greater than or equal to the smoke concentration alarm threshold, an effective fire extinguishing strategy is adopted to perform different levels of fire alarm.

6. The method of claim 5, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. The smoke difference strategy specifically includes: The volume of the initial gas in the smoke detection container of the aspirating smoke detector is obtained and recorded as V1; Obtaining the initial gas smoke concentration in the smoke detection container of the air intake smoke sensor, denoted as C 初 ; The volume of the newly inhaled gas in the smoke detection container of the aspirating smoke detector is obtained and recorded as V2; Let the smoke concentration of the newly inhaled gas in the smoke detection container of the aspirating smoke detector be denoted as C 测 ; The volume of the mixed gas in the smoke detection container of the aspirating smoke detector is V1+V2, and the mixing specifically refers to the mixing of the initial gas and the newly inhaled gas in the smoke detection container of the aspirating smoke detector; The smoke concentration of the gas in the smoke detection container of the mixed aspirated smoke sensor is denoted as C 总 ; then V1•C 初 + V2•C 测 = (V1+V2)•C 总 so that 7. The method of claim 5, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. The effective fire extinguishing strategy for different levels of fire alarm specifically includes: When the smoke concentration detected in a partitioned surface is greater than or equal to the smoke concentration alarm threshold, an expansion strategy is adopted to obtain the range of smoke, and the obtained smoke range is recorded as the target range; The positions of the fire extinguishing nozzles closest to the target range in different directions are obtained; The effective fire extinguishing range of each fire extinguishing nozzle is obtained; The target range and the effective fire extinguishing range of each fire extinguishing nozzle are mapped to a horizontal plane; All areas where the mapping plane of the effective fire extinguishing range and the mapping plane of the target range overlap are obtained; If the overlapping area is equal to the mapping plane of the target range, a fourth level of fire alarm is performed; If the mapping plane of the target range x 50% ≦ the overlapping area < the mapping plane of the target range, a third level of fire alarm is performed; If 0 < the overlapping area < the mapping plane of the target range x 50%, a second level of fire alarm is performed; If the overlapping area ≦ 0, a first level of fire alarm is performed.

8. The method of claim 7, wherein the lithium battery fire alarm is an aspirating smoke detection lithium battery fire alarm. The expansion strategy for obtaining the range of smoke specifically includes: The partitioned surface where the smoke concentration is greater than or equal to the smoke concentration alarm threshold is obtained and recorded as the first smoke concentration over-threshold surface; All partitioned surfaces that share edges and points with the first smoke concentration over-threshold surface are obtained, and the smoke concentration is detected to obtain all partitioned surfaces where the smoke concentration is greater than or equal to the smoke concentration alarm threshold, which is recorded as the second smoke concentration over-threshold surface; All partitioned surfaces that share edges and points with the second smoke concentration over-threshold surface are obtained, and the smoke concentration is detected to obtain all partitioned surfaces where the smoke concentration is greater than or equal to the smoke concentration alarm threshold, which is recorded as the third smoke concentration over-threshold surface; All partitioned surfaces that share edges and points with the third smoke concentration over-threshold surface are obtained, and the smoke concentration is detected to obtain all partitioned surfaces where the smoke concentration is greater than or equal to the smoke concentration alarm threshold, which is recorded as the fourth smoke concentration over-threshold surface, until the smoke concentration value of the partitioned surface is less than the smoke concentration alarm threshold; All partitioned surfaces where the smoke concentration value is greater than or equal to the smoke concentration alarm threshold are obtained, the position of each partitioned surface is obtained, and the area of the region composed of all partitioned surfaces is calculated.

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