Fire alarm method based on air-breathing smoke-sensing lithium battery

Abstract

The invention relates to the technical field of fire alarm based on an air-breathing smoke-sensing lithium battery, and discloses a fire alarm method based on the air-breathing smoke-sensing lithium battery. According to the method, a smoke concentration dynamic model is constructed, the model is based on the hypothesis that smoke naturally decreases along with time, and the initial concentration, the attenuation constant alpha and temperature and humidity influence factors of the smoke are introduced. The smoke concentration data in the environment is acquired in real time through the air-breathing smoke sensor, and the model comprehensively considers a plurality of factors, so that the smoke concentration prediction is more scientific and accurate, the false alarm rate is reduced, and the fire early warning accuracy is improved. In addition, the initial concentration is accurately set, the strategy of the attenuation constant alpha is reasonably determined, and the temperature and humidity influence factors are quantified, so that the model can better adapt to different environmental conditions. The application of the air-breathing monitoring technology realizes the active and real-time monitoring of the environmental smoke concentration.

Description

Technical Field

[0001] The invention relates to the technical field of fire alarm based on air-suction type smoke-sensing lithium battery, and in particular to a fire alarm method based on air-suction type smoke-sensing lithium battery. Background Art

[0002] With the acceleration of urbanization, fire hazards are becoming more and more serious, and the demand for fire alarm systems is becoming more urgent. Traditional fire alarm systems mainly rely on temperature detectors or smoke detectors. These detectors send out alarm signals after detecting smoke or temperature generated by fire in the environment, but they usually have problems such as insufficient response and limited coverage, making it difficult to respond to fires in a timely and effective manner.

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

[0004] In summary, although existing technologies have made some progress in the field of fire alarm, they still need to be further optimized. In particular, the accuracy and flexibility of smoke detection require continuous innovation and improvement. By adopting a new method based on aspiration smoke sensing technology, a more reliable technical guarantee can be provided for the fire alarm system, thereby effectively reducing the potential losses when a fire occurs. Summary of the invention

[0005] The present invention provides a fire alarm method based on an aspiration-type smoke-sensing lithium battery, which helps solve the problems mentioned in the above background technology.

[0006] The present invention provides the following technical solution: a method for fire alarm based on an aspiration type smoke sensing lithium battery, comprising:

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

[0008] Setting C S=C0·e -αt , where C0 is the initial concentration of smoke, α is the smoke attenuation constant when there is no external influence, and α is determined by the smoke attenuation constant strategy;

[0009] Define the temperature influence factor k T k T =1+θ(T-T0), where T0 is 25°C, θ represents the coefficient of temperature accelerating the diffusion of smoke, and θ is determined by the strategy of temperature accelerating the diffusion of smoke;

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

[0011]

[0012] Define humidity influence factor k H for Where H0 is the humidity 50%, Indicates the influence coefficient of humidity on the decrease of smoke concentration, which is determined by the influence strategy of humidity on the decrease of smoke concentration

[0013] After adding the humidity effect to the model, the smoke concentration model equation is:

[0014]

[0015] The smoke concentration in the environment is obtained through an aspirating smoke detector.

[0016] Optionally, the determining α by using a smoke attenuation constant strategy specifically includes:

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

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

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

[0020] Set the interval length for monitoring smoke concentration, which is recorded as the smoke concentration detection interval;

[0021] Activate the smoke generator;

[0022] Get the current time point;

[0023] Starting from the current time point, the smoke concentration C is recorded every smoke concentration detection interval. S (t);

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

[0025] Optionally, the strategy of determining θ by accelerating the effect of temperature on smoke diffusion specifically includes:

[0026] Choose a closed space where you can adjust the temperature and keep the humidity constant;

[0027] Set multiple different temperature values;

[0028] Use a temperature sensor to record the temperature value T under each temperature condition;

[0029] Start the smoke generator to release smoke at each temperature value;

[0030] Set the smoke concentration detection time interval;

[0031] Multiple smoke concentration values ​​were measured at each time point;

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

[0033] For each temperature value, use Calculate the relative concentration changes at each time point;

[0034] Obtain the concentration versus time curve (C S (t), V S (t));

[0035] Calculate the slope of the attenuation curve at each temperature condition, t i is the i-th time point;

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

[0037] Optionally, the effect of humidity on the reduction of smoke concentration is determined by the strategy Specifically include:

[0038] Choose a closed space with controlled humidity to keep the temperature constant;

[0039] Set multiple humidity conditions;

[0040] Use a humidity sensor to record the humidity value H under each humidity condition;

[0041] The smoke generator is activated to release smoke under each humidity condition;

[0042] Set a fixed time interval and record the smoke concentration C after each time interval S (t);

[0043] use Calculate the relative change in concentration at each time point;

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

[0045] Calculate the slope of the attenuation curve for each humidity condition, t i is the i-th time point;

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

[0047] Optionally, obtaining the initial smoke concentration in the environment by using an aspirating smoke sensor specifically includes:

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

[0049] The center positions of the top surface and four sides of the target space are obtained as the temperature and humidity detection points, which are recorded as position 1, position 2, position 3, position 4 and position 5 respectively;

[0050] Get the four vertices of the top surface of the target space, which are recorded as point A, point B, point C and point D, where points A and B are on the same edge, points B and C are on the same edge, points C and D are on the same edge, and points D and A are on the same edge;

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

[0052] The rows into which the top surface is divided are 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 into the top surface are recorded as the first column, the second column, ... the Mth column in order from the closest to the AD edge to the farthest from the AD edge;

[0054] Number the split faces. Specifically, the split face in the first row and first column is marked as split face number 1, and the split faces are numbered from the first row to the Nth row. The split faces of the odd-numbered layers are numbered in the order from the closest to the AD edge to the farthest from the AD edge, and the split faces of the even-numbered layers are numbered in the order from the closest to the BC edge to the farthest from the BC edge. The first and last split face numbers of two adjacent rows are connected.

[0055] Get the center point of each segmentation surface and record the center point as the smoke concentration detection point;

[0056] The air inlet of the aspirating smoke detector is recorded as the air inlet;

[0057] Set up air inlets at each smoke concentration detection point;

[0058] Set the initialization time of the aspirating smoke detector;

[0059] Open the air inlet in the No. 1 dividing surface, draw air into the aspirating smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 1 dividing surface, obtain the temperature value and humidity value of each temperature and humidity detection point, and calculate the average value of the temperature value and humidity value, use the average value as the temperature value and humidity value of the No. 1 dividing surface, substitute the initial smoke concentration of the No. 1 dividing surface, the temperature value and the humidity value of the No. 1 dividing surface into the smoke concentration model equation to obtain the smoke concentration of the No. 1 dividing surface;

[0060] Close the air inlet in the No. 1 dividing surface, exhaust the gas in the aspirated smoke sensor according to the initialization time of the aspirated smoke sensor, stop exhausting and open the air inlet in the No. 2 dividing surface, suck air into the aspirated smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 2 dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the No. 2 dividing surface, substitute the initial smoke concentration of the No. 2 dividing surface, the temperature value and the humidity value of the No. 2 dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 2 dividing surface, and obtain the smoke concentration of the No. 2 dividing surface through the smoke difference strategy;

[0061] Close the air inlet in the No. 2 dividing surface, exhaust the gas in the aspirated smoke sensor according to the initialization time of the aspirated smoke sensor, open the air inlet in the No. 3 dividing surface, suck air into the aspirated smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 3 dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the No. 3 dividing surface, substitute the initial smoke concentration of the No. 3 dividing surface, the temperature and humidity values ​​of the No. 3 dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 3 dividing surface, and obtain the smoke concentration of the No. 3 dividing surface through the smoke difference strategy;

[0062] Close the air inlet in the (N·M)-1 dividing surface, exhaust the gas in the aspirating smoke sensor according to the initialization time of the aspirating smoke sensor, open the air inlet in the N·M dividing surface, suck air into the aspirating smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the N·M dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the N·M dividing surface, substitute the initial smoke concentration of the N·M dividing surface, the temperature and humidity values ​​of the N·M dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the N·M dividing surface, and obtain the smoke concentration of the N·M dividing surface through the smoke difference strategy;

[0063] Setting a smoke concentration alarm threshold, which is used to determine whether the smoke concentration reaches the primary judgment condition for a fire alarm;

[0064] When the smoke concentration detected in the segmentation surface is less than the smoke concentration alarm threshold, the smoke concentration detection in the next segmentation surface will be continued;

[0065] When the smoke concentration detected within the segmentation surface is ≧ the smoke concentration alarm threshold, an effective fire extinguishing strategy is used to issue fire alarms of different levels.

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

[0067] Obtain the volume of the initial gas in the smoke detection container of the aspirating smoke detector, recorded as V1;

[0068] Get the initial gas smoke concentration 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 detector, recorded as V2;

[0070] The smoke concentration of the newly inhaled gas in the smoke detection container of the aspirating smoke detector is recorded as C测 ;

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

[0072] The smoke concentration of the gas in the smoke detection container of the mixed aspiration smoke detector is recorded as C 总 ;

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

[0074] Optionally, the effective fire extinguishing strategy is used to perform fire alarms of different levels, specifically including:

[0075] When the smoke concentration detected in a segmentation surface is greater than or equal to the smoke concentration alarm threshold, the smoke range is obtained by using an external expansion strategy, and the obtained smoke range is recorded as the target range;

[0076] Obtain the position of the fire sprinkler closest to the target range in different directions;

[0077] Get the effective fire extinguishing range of each fire sprinkler;

[0078] Map the target range and each effective fire extinguishing range onto a horizontal plane;

[0079] Obtain all areas where the mapping surface of the effective fire extinguishing range overlaps with the mapping surface of the target range;

[0080] If the overlapping area is equal to the mapping surface of the target range, a level 4 fire alarm is triggered;

[0081] If the mapping surface of the target range × 50% ≦ overlapping area < the mapping surface of the target range, a level 3 fire alarm is issued;

[0082] If 0 < overlap area < mapping surface of target range × 50%, a second-level fire alarm is issued;

[0083] If the overlapping area is ≦0, a level one fire alarm will be issued.

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

[0085] Obtain the segmentation surface where the detected smoke concentration is ≧ the smoke concentration alarm threshold, and record it as the first-level smoke concentration excess value surface;

[0086] Obtain all segmentation surfaces that share the same edges and points with the primary smoke density excess surface, detect smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as secondary smoke density excess surfaces;

[0087] Obtain all segmentation surfaces that share the same edges and points with the second-level smoke density super-value surface, detect the smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as the third-level smoke density super-value surface;

[0088] Obtain all segmentation surfaces that share the same edges and points with the third-level smoke density super-value surface, detect the smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as the fourth-level smoke density super-value surface, until the smoke density value of the segmentation surface is obtained that is less than the smoke density alarm threshold;

[0089] Get all the segmentation surfaces whose smoke density values ​​are ≧ the smoke density alarm threshold, get the position of each segmentation surface, and calculate the area of ​​the region composed of all the segmentation surfaces.

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

[0091] 1. By assuming that the concentration decreases naturally over time, it can better reflect the process of smoke diffusion in the actual environment. This model makes subsequent concentration predictions more scientific and operational, and helps design more effective alarm mechanisms. In this way, the system can adjust the alarm strategy in time according to environmental changes, reduce the false alarm rate, improve the accuracy of fire warnings, and ensure personnel safety. At the same time, understanding the law of concentration changes over time provides a basis for further optimizing detection and response time, and promotes the improvement of the overall fire prevention and control system; the accurate setting of the initial concentration ensures that the model reflects the actual environmental state, and the determination of the attenuation constant α enables the model to adapt to the smoke attenuation characteristics under different conditions. Through a reasonable attenuation constant strategy, the system can more accurately predict changes in smoke concentration, which helps to judge fire risks; the introduction of the temperature influencing factor allows the model to take into account the influence of ambient temperature on the smoke diffusion rate. The quantification of this factor is not It not only enriches the complexity of the model, but also improves its adaptability to actual environmental changes. Through the strategy of temperature affecting smoke diffusion, the system can adjust the concentration estimate in real time under different temperature conditions; the impact of humidity on smoke concentration is often overlooked, but through the quantification of this factor, the model can more accurately evaluate the actual concentration changes of smoke. This strategy enables the system to maintain a high level of alertness under high humidity conditions and adjust the alarm parameters in time to deal with potential fire risks; the use of aspiration smoke sensors to achieve active detection of environmental smoke concentration. Compared with traditional passive monitoring, this method has higher sensitivity and response speed. The aspiration design allows the equipment to analyze the inhaled air samples in real time to ensure that changes in smoke concentration are captured faster. This real-time monitoring not only improves the timeliness of fire alarms, but also can issue early warnings before a fire occurs, thereby buying more time for personnel evacuation and fire-fighting measures.

[0092] 2. Selecting a closed experimental space and maintaining constant humidity and temperature provides controllable environmental conditions for the experiment. This setting can effectively eliminate the interference of external factors on the experimental results and ensure 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 up a standard smoke generator enables the experiment to accurately produce smoke of a specific concentration, which is crucial for subsequent concentration measurements; setting up a smoke concentration sensor near the smoke generator and recording the initial concentration is an important step in establishing an experimental benchmark. 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 initial state of smoke diffusion and effectively monitor 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 realizing dynamic monitoring of the smoke diffusion process. This strategy makes the data collection process more standardized and improves the reliability of experimental results; regular recording of smoke concentration data is an important step in establishing a concentration change curve. This method can effectively reflect the dynamic changes of smoke over time. Through this regular sampling, researchers can clearly understand how smoke concentration changes over time, which is crucial for subsequent model building and analysis. In addition, periodic recording can capture 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 original data and analyze the trend of smoke concentration changes.

[0093] 3. Select a closed space with adjustable temperature and keep the humidity constant, which provides a controllable environment for the experiment. This setting can effectively eliminate the impact of humidity changes on smoke diffusion, allowing researchers to focus more on the impact of temperature on changes in smoke concentration. By setting multiple different temperature values, researchers can systematically analyze the impact of temperature on smoke concentration. This method allows the comparison of smoke diffusion behavior under different temperature conditions and provides 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 changes in smoke concentration. Start the smoke generator and release smoke under different temperature conditions, so that the experiment can observe the diffusion behavior of smoke at these temperatures in real time. This process can generate rich data for each temperature condition, which helps researchers better understand the dynamic impact of temperature on smoke concentration. Setting the time interval for smoke concentration detection helps to systematically collect data and facilitates the analysis of changes in smoke concentration over time. Through multiple measurements, the impact of accidental errors can be effectively reduced, the reliability and accuracy of concentration data can be improved, and the average smoke concentration at each time point can be calculated. It helps to eliminate accidental errors in single measurements, thereby improving the reliability of data. This approach can provide clear concentration trends for subsequent analysis and facilitate the understanding of smoke diffusion characteristics at different time points. By recording the average concentration value, researchers can more effectively compare the results under different experimental conditions and provide a solid data basis for the establishment of concentration change models; the relative concentration change can be calculated by formula to effectively quantify the impact of temperature on smoke concentration changes. The calculation of relative concentration changes provides an important basis for model establishment and helps to better describe the relationship between smoke concentration and temperature; calculating the slope of the attenuation curve under each temperature condition can help researchers quantitatively analyze the attenuation rate of smoke concentration. The determination of this parameter 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 the quantitative analysis of concentration changes. This process enables researchers to make comparisons under multiple experimental conditions, which helps to determine the general impact of temperature on smoke concentration changes. Through analysis combined with the reference temperature, the interpretation and application of experimental results are enhanced, which helps to provide a theoretical basis for future research and technology development.

[0094] 4. Select a closed space with controlled humidity and keep the temperature constant, which provides a controllable environment for the experiment. Such a setting can eliminate the interference of temperature changes on humidity. Setting multiple humidity conditions can systematically study the effect of humidity on smoke concentration changes. This stratified experimental design allows comparison of smoke behavior at different humidity levels and provides 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. Start the smoke generator under each humidity condition and observe the diffusion behavior of smoke in different humidity environments in real time. This process generates rich data for each humidity condition, which helps researchers to deeply understand how humidity affects the dynamic changes of smoke concentration. Setting fixed time intervals to record smoke concentration can systematically capture data, which is convenient for analyzing the changes in smoke concentration over time. This periodic detection method ensures that the dynamic characteristics of concentration changes can be fully reflected, which helps to understand the effects of humidity on smoke diffusion. The influence of humidity on smoke diffusion is calculated by using the formula to calculate the relative change of concentration at each time point, which helps to quantify the effect of humidity on smoke concentration change. Through the calculation of relative change, the analysis of experimental results becomes more accurate, which provides an important basis for further model establishment and concentration prediction. This curve can clearly show the changing trend of smoke concentration at different time points, which helps to identify the law of concentration change and potential extreme points. By analyzing the change curve, researchers can deeply understand the effect of humidity on smoke diffusion, provide support for the establishment of an accurate concentration prediction model, calculate the slope of the attenuation curve under each humidity condition, and quantitatively analyze the effect of humidity on the attenuation rate of smoke concentration. The determination of this parameter can reveal the law of smoke diffusion and concentration reduction under different humidity conditions, and then provide an important basis for in-depth understanding of smoke behavior. By selecting the reference humidity and its corresponding value for calculation, a standardized reference is provided for the quantitative analysis of humidity changes. The analysis combined with the reference humidity not only enhances the comparability of the experimental results, but also provides a theoretical basis for the improvement of fire alarm technology.

[0095] 5. Determine the monitoring space as a rectangular target space, which provides a clear framework for subsequent experiments and data analysis. This setting helps to accurately locate the positions of smoke concentration detection points and temperature and humidity sensors, ensuring the comparability and validity of experimental data. The shape of the rectangular parallelepiped also makes it easy to understand the air flow characteristics in the space, which is conducive to simulating the diffusion behavior of smoke, and then optimizing the smoke monitoring system. Set temperature and humidity detection points at different locations in the target space to ensure that environmental parameters can be obtained at each key location. This measure improves the comprehensiveness of data collection and can better reflect environmental changes in the space, thereby affecting the dynamic characteristics of smoke concentration.

[0096] 6. Through multi-point monitoring, researchers can analyze the impact of temperature and humidity on smoke diffusion at different locations, which helps to develop more effective fire warning strategies. The integration of 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, and can provide support for the geometric characteristics of space division. The top surface of the target space is evenly divided into multiple areas, so that the monitored space is refined into smaller parts. This design helps to comprehensively analyze the changes in smoke concentration. The segmentation surface provides a structured method for subsequent detection and data collection, which can clearly identify the monitoring situation of each area. By clarifying the order of segmented rows, researchers can systematically analyze the changes in smoke concentration in different rows. This naming method simplifies the process of data recording and analysis, making subsequent data processing more efficient. At the same time, the systematic segmentation method helps to compare between each row and reveal the characteristics of smoke diffusion at different locations. The columns of the top surface segmentation are numbered in order, providing a clear structure for subsequent data collection and analysis. Numbering the segmentation surface provides a systematic identification method to ensure that specific segmentation surfaces can be accurately referenced during data collection and analysis. This numbering rule not only enhances the traceability of the data, but also improves the efficiency of data processing, making it easier to quickly locate the relevant segmentation surfaces in subsequent analysis. Through the different sorting of odd and even layers, researchers can more comprehensively analyze the changing characteristics of smoke between different segmentation surfaces, thereby providing support for the establishment of an accurate smoke monitoring model. Determining the center point of each segmentation surface as the smoke concentration detection point can provide representative data on the concentration distribution in space.

[0097] 7. Set up an air inlet at each smoke concentration detection point to ensure that the smoke concentration in each segmentation surface can be monitored in real time. This setting facilitates data collection, allowing each detection point to collect air samples independently, improving the effectiveness of the overall monitoring system. By monitoring different detection points, researchers can more accurately analyze the distribution of smoke in the space, which helps to improve the accuracy of fire alarms. Set the initialization duration of the aspirating 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 equipment not being fully ready. By opening the air inlet for air inhalation and smoke concentration detection, real-time environmental data can be obtained. This process provides basic concentration data for segmentation surface No. 1. Combined with the average values ​​of temperature and humidity, researchers can accurately assess the smoke concentration of the segmentation surface. This comprehensive monitoring method provides accurate data input for the establishment of the smoke concentration model, thereby enhancing the reliability of the model prediction. This step effectively integrates environmental parameters and provides an important decision-making basis for fire warning. By detecting each segmentation surface one by one, it is ensured that the changes in smoke concentration in different areas can be accurately captured. This systematic operation process enables each segmentation surface to obtain monitoring data independently and provides sufficient data support for subsequent analysis.

[0098] 8. By comprehensively considering the factors of temperature and humidity, researchers can have a deeper understanding of the mechanism of smoke diffusion, which helps to improve the responsiveness 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. At the same time, the use of the smoke difference strategy can reduce the impact of the last inhaled gas on the current smoke concentration measurement, making the measurement results more accurate; setting the smoke concentration alarm threshold is to ensure that the system can issue an alarm in time at an appropriate concentration level and improve 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 segmentation surface detection. Once the detected smoke concentration reaches or exceeds the alarm threshold, the system immediately adopts an effective fire extinguishing strategy to respond quickly to potential fires. This measure ensures that a timely response can be made when a fire occurs, maximizing the protection of personnel and property safety. Through the hierarchical alarm mechanism, corresponding countermeasures can be taken for different fire levels, which improves the scientificity and effectiveness of fire emergency management.

[0099] 9. Determine the volume of the initial gas in the aspirated smoke detector. This process helps to understand the state of the equipment at the beginning of monitoring and ensure the accuracy of the calculation. The process of recording the initial gas smoke concentration lays the foundation for subsequent data analysis. The accuracy of the initial concentration directly affects the subsequent concentration calculation after mixing. By obtaining the initial concentration, it can provide important information for dynamic monitoring. Determine the volume of the newly inhaled gas and provide the necessary parameters for concentration calculation. This process ensures that the amount of new gas added can be clearly understood during the monitoring process, 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 mixed gas provides a comprehensive understanding of the state of the total gas. This process combines the mixing of initial gas and newly inhaled gas, allowing researchers to accurately evaluate the impact of gas volume changes on smoke concentration. Recording the smoke concentration of mixed gas is a crucial step in the monitoring system. Through this measurement, researchers can evaluate the actual concentration changes after gas mixing and ensure that the fire monitoring system can respond to potential fire risks in a timely manner. The acquisition of the concentration after mixing makes the calculation of the concentration model more accurate, providing strong data support for subsequent fire alarm decisions. Through the formula The concentration of smoke in the newly inhaled gas can be obtained.

[0100] 10. This step ensures that when the smoke concentration reaches the alarm threshold, the diffusion range of the smoke is quickly determined, so as to respond to potential fire risks in a timely manner. Through the external expansion strategy, the impact of smoke on the surrounding environment can be effectively evaluated to ensure the accuracy and effectiveness of the alarm system. Identifying the location of the fire sprinkler closest to the target range helps to quickly locate possible fire extinguishing sources and ensure that the fire extinguishing device can be quickly activated when a fire occurs. And obtaining the location of the nearest sprinkler can determine the effective fire extinguishing range. Determining the effective fire extinguishing range of each fire sprinkler is a key step in optimizing the fire extinguishing strategy. This process ensures that when a fire occurs, it can be reasonably deployed according to the coverage capacity of different sprinklers. By understanding the effective range of each sprinkler, the allocation efficiency of fire extinguishing resources can be better evaluated, thereby improving the overall fire extinguishing effect. Mapping the smoke target range and fire extinguishing range onto the horizontal plane provides clear visual data for subsequent analysis. This process enables researchers to intuitively compare the relationship between the smoke diffusion range and the fire extinguishing capacity, promoting a comprehensive understanding of the fire situation. Through this spatial mapping, the effectiveness of the fire sprinkler can be more effectively judged, providing an intuitive basis for the optimization of the fire extinguishing strategy. Determining the overlap area between the effective fire extinguishing range and the target range helps to evaluate the effectiveness of the fire extinguishing strategy. This process can clearly identify which areas can be effectively covered, thereby helping to formulate corresponding countermeasures. Judging the fire alarm level based on the situation of the overlapping area helps to initiate the corresponding emergency response measures in a timely manner. This step ensures that when the fire sprinkler can completely cover the fire area, a level 4 fire alarm can be quickly issued. At this time, the fire can be extinguished by turning on the fire sprinkler, so there is no need to call more resources; if the mapping surface of the target range × 50% ≦ overlapping area < mapping surface of the target range, a level 3 fire alarm is issued, at which time some resources need to be called to extinguish the fire, but at the same time, the fire sprinkler can also play a certain role in extinguishing the fire; if 0 < overlapping area < mapping surface of the target range × 50%, a level 2 fire alarm is issued, at which time the effective range of the fire sprinkler becomes smaller, and more resources need to be called to assist in extinguishing the fire; when the overlapping area is zero or negative, a level 1 fire alarm is issued to deal with potential high risks. At this time, the fire sprinkler is no longer effective, 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. At this time, the initial smoke concentration excess point is determined. By expanding to the segmentation surface adjacent to the first-level excess surface, the scope of the fire risk can be further assessed. This step ensures comprehensive monitoring of the surrounding environment and timely identification of areas that may be affected. By obtaining the second-level smoke concentration excess surface, a more accurate fire risk assessment can be formed to promote the formulation of targeted emergency response plans. This layered expansion strategy enhances the effectiveness of the fire monitoring system and makes the fire response mechanism more flexible and can be dynamically adjusted according to actual risks. By collecting all the segmentation surfaces where the smoke concentration exceeds the standard and their locations, a comprehensive analysis of the affected areas can be carried out. Calculating the area of ​​the area composed of the excess surface helps to clarify the risk level and provide a basis for subsequent fire fighting strategies. Through this systematic data collation and analysis, the efficiency of fire monitoring and response work can be effectively improved, providing a solid guarantee for ensuring public safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0102] Figure 1 Schematic diagram of the target space segmentation and naming of the present invention.

[0103] Figure 2 It is a schematic diagram of the smoke concentration exceeding the value and expanding outside the dividing surface of the present invention. DETAILED DESCRIPTION

[0104] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

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

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

[0107] Setting C S =C0·e -αt , where C0 is the initial concentration of smoke, α is the smoke attenuation constant when there is no external influence, and α is determined by the smoke attenuation constant strategy;

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

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

[0110]

[0111] Define humidity influence factor k H for Where H0 is the humidity 50%, Indicates the influence coefficient of humidity on the decrease of smoke concentration, which is determined by the influence strategy of humidity on the decrease of smoke concentration

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

[0113]

[0114] The smoke concentration in the environment is obtained through an aspirating smoke detector.

[0115] By assuming that the concentration decreases naturally over time, it can better reflect the process of smoke diffusion in the actual environment. The model makes subsequent concentration predictions more scientific and operational, and helps design more effective alarm mechanisms. In this way, the system can adjust the alarm strategy in time according to environmental changes, reduce the false alarm rate, improve the accuracy of fire warnings, and ensure personnel safety. At the same time, understanding the law of concentration changes over time provides a basis for further optimizing detection and response time, and promotes the improvement of the overall fire prevention and control system; the accurate setting of the initial concentration ensures that the model reflects the actual environmental state, and the determination of the attenuation constant α enables the model to adapt to the smoke attenuation characteristics under different conditions. Through a reasonable attenuation constant strategy, the system can more accurately predict changes in smoke concentration, which helps to judge fire risks; the introduction of the temperature influencing factor allows the model to take into account the influence of ambient temperature on the smoke diffusion rate. The quantification of this factor not only The complexity of the model has been enriched, and its adaptability to actual environmental changes has been improved. Through the strategy of the impact of temperature on smoke diffusion, the system can adjust the concentration estimate in real time under different temperature conditions; the impact of humidity on smoke concentration is often overlooked, but through the quantification of this factor, the model can more accurately evaluate the actual concentration changes of smoke. This strategy enables the system to maintain a high level of alertness under high humidity conditions and adjust the alarm parameters in time to respond to potential fire risks; the use of aspirated smoke sensors to achieve active detection of environmental smoke concentration. Compared with traditional passive monitoring, this method has higher sensitivity and response speed. The aspirated design allows the equipment to analyze the inhaled air samples in real time to ensure that changes in smoke concentration are captured more quickly. This real-time monitoring not only improves the timeliness of fire alarms, but also can issue early warnings before a fire occurs, thereby buying more time for personnel evacuation and fire-fighting measures.

[0116] The method of determining α by using the smoke attenuation constant strategy specifically includes:

[0117] Choose a closed experimental space and keep the humidity and temperature constant;

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

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

[0120] Set the interval length for monitoring smoke concentration, which is recorded as the smoke concentration detection interval;

[0121] Activate the smoke generator;

[0122] Get the current time point;

[0123] Starting from the current time point, the smoke concentration C is recorded every smoke concentration detection interval. S (t);

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

[0125] Selecting a closed experimental space and maintaining constant humidity and temperature provides controllable environmental conditions for the experiment. This setting can effectively eliminate the interference of external factors on the experimental results and ensure 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 up a standard smoke generator enables the experiment to accurately produce smoke of a specific concentration, which is crucial for subsequent concentration measurements; setting up a smoke concentration sensor near the smoke generator and recording the initial concentration is an important step in establishing an experimental benchmark. 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 initial state of smoke diffusion and effectively monitor 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 realizing dynamic monitoring of the smoke diffusion process. This strategy makes the data collection process more standardized and improves the reliability of experimental results; regular recording of smoke concentration data is an important step in establishing a concentration change curve. This method can effectively reflect the dynamic changes of smoke over time. Through this regular sampling, researchers can clearly understand how smoke concentration changes over time, which is crucial for subsequent model building and analysis. In addition, periodic recording can capture 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 original data and analyze the trend of smoke concentration changes.

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

[0127] Choose a closed space where you 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 to release smoke at each temperature value;

[0131] Set the smoke concentration detection time interval;

[0132] Multiple smoke concentration values ​​were measured at each time point;

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

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

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

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

[0137] By selecting a reference temperature T0 and a corresponding α(T0), and combining the formula α(T)=α0·(1+θ(T-T0)), the value of θ is obtained.

[0138] Selecting a closed space with adjustable temperature and keeping constant humidity provides a controllable environment for the experiment. This setting can effectively eliminate the impact of humidity changes on smoke diffusion, allowing researchers to focus more on the impact of temperature on changes in smoke concentration. By setting multiple different temperature values, researchers can systematically analyze the impact of temperature on smoke concentration. This method allows comparison of smoke diffusion behavior under different temperature conditions and provides 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 changes in smoke concentration. Starting the smoke generator and releasing smoke under different temperature conditions allows the experiment to observe the diffusion behavior of smoke at these temperatures in real time. This process can generate rich data for each temperature condition, which helps researchers better understand the dynamic impact of temperature on smoke concentration. Setting the time interval for smoke concentration detection helps to systematically collect data and facilitates the analysis of changes in smoke concentration over time. Through multiple measurements, the impact of accidental errors can be effectively reduced, and the reliability and accuracy of concentration data can be improved. The average smoke concentration at each time point is calculated. It helps to eliminate accidental errors in single measurements, thereby improving the reliability of data. This approach can provide clear concentration trends for subsequent analysis and facilitate the understanding of smoke diffusion characteristics at different time points. By recording the average concentration value, researchers can more effectively compare the results under different experimental conditions and provide a solid data basis for the establishment of concentration change models; the relative concentration change can be calculated by formula to effectively quantify the effect of temperature on smoke concentration changes. The calculation of relative concentration changes provides an important basis for model establishment and helps to better describe the relationship between smoke concentration and temperature; calculating the slope of the attenuation curve under each temperature condition can help researchers quantitatively analyze the attenuation rate of smoke concentration. The determination of this parameter can reveal the effect 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 the quantitative analysis of concentration changes. This process enables researchers to make comparisons under multiple experimental conditions, which helps to determine the general effect of temperature on smoke concentration changes. Through analysis combined with the reference temperature, the interpretation and application of experimental results are enhanced, which helps to provide a theoretical basis for future research and technology development.

[0139] The effect of humidity on the reduction of smoke concentration is determined by the strategy Specifically include:

[0140] Choose a closed space with controlled humidity to 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] The smoke generator is activated to release smoke under each humidity condition;

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

[0145] use Calculate the relative change in concentration at each time point;

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

[0147] Calculate the slope of the attenuation curve for each humidity condition, t i is the i-th time point;

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

[0149] Selecting a closed space with controlled humidity and keeping the temperature constant provides a controllable environment for the experiment. This setting can eliminate the interference of temperature changes on humidity. Setting multiple humidity conditions can systematically study the effect of humidity on changes in smoke concentration. This stratified experimental design allows comparison of smoke behavior at different humidity levels and provides 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 can observe the diffusion behavior of smoke in different humidity environments in real time. This process generates rich data for each humidity condition, which helps researchers to deeply understand how humidity affects the dynamic changes of smoke concentration. Setting fixed time intervals to record smoke concentration can systematically capture data, which is convenient for analyzing changes in smoke concentration over time. This periodic detection method ensures that the dynamic characteristics of concentration changes can be fully reflected, which helps to understand the effects of humidity on the smoke diffusion process. The influence of humidity and the relative change of concentration at each time point are calculated by formula, which is helpful to quantify the effect of humidity on the change of smoke concentration. Through the calculation of relative change, the analysis of experimental results becomes more accurate, which provides an important basis for further model establishment and concentration prediction. This curve can clearly show the changing trend of smoke concentration at different time points, which helps to identify the law of concentration change and potential extreme points. By analyzing the change curve, researchers can deeply understand the effect of humidity on smoke diffusion, provide support for the establishment of accurate concentration prediction model, calculate the slope of the attenuation curve under each humidity condition, and quantitatively analyze the effect of humidity on the attenuation rate of smoke concentration. The determination of this parameter can reveal the law of smoke diffusion and concentration reduction under different humidity conditions, and then provide an important basis for in-depth understanding of smoke behavior. By selecting the reference humidity and its corresponding value for calculation, a standardized reference is provided for the quantitative analysis of humidity change. The analysis combined with the reference humidity not only enhances the comparability of experimental results, but also provides a theoretical basis for the improvement of fire alarm technology.

[0150] Reference Figure 1 The method of obtaining the initial smoke concentration in the environment by using the aspirating smoke sensor specifically includes:

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

[0152] The center positions of the top surface and four sides of the target space are obtained as the temperature and humidity detection points, which are recorded as position 1, position 2, position 3, position 4 and position 5 respectively;

[0153] Get the four vertices of the top surface of the target space, which are recorded as point A, point B, point C and point D, where points A and B are on the same edge, points B and C are on the same edge, points C and D are on the same edge, and points D and A are on the same edge;

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

[0155] The rows into which the top surface is divided are 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;

[0156] The columns divided into the top surface are recorded as the first column, the second column, ... the Mth column in order from the closest to the AD edge to the farthest from the AD edge;

[0157] Number the split faces. Specifically, the split face in the first row and first column is marked as split face number 1, and the split faces are numbered from the first row to the Nth row. The split faces of the odd-numbered layers are numbered in the order from the closest to the AD edge to the farthest from the AD edge, and the split faces of the even-numbered layers are numbered in the order from the closest to the BC edge to the farthest from the BC edge. The first and last split face numbers of two adjacent rows are connected.

[0158] Get the center point of each segmentation surface and record the center point as the smoke concentration detection point;

[0159] The air inlet of the aspirating smoke detector is recorded as the air inlet;

[0160] Set up air inlets at each smoke concentration detection point;

[0161] Set the initialization time of the aspirating smoke detector;

[0162] Open the air inlet in the No. 1 dividing surface, draw air into the aspirating smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 1 dividing surface, obtain the temperature value and humidity value of each temperature and humidity detection point, and calculate the average value of the temperature value and humidity value, use the average value as the temperature value and humidity value of the No. 1 dividing surface, substitute the initial smoke concentration of the No. 1 dividing surface, the temperature value and the humidity value of the No. 1 dividing surface into the smoke concentration model equation to obtain the smoke concentration of the No. 1 dividing surface;

[0163] Close the air inlet in the No. 1 dividing surface, exhaust the gas in the aspirated smoke sensor according to the initialization time of the aspirated smoke sensor, stop exhausting and open the air inlet in the No. 2 dividing surface, suck air into the aspirated smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 2 dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the No. 2 dividing surface, substitute the initial smoke concentration of the No. 2 dividing surface, the temperature value and the humidity value of the No. 2 dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 2 dividing surface, and obtain the smoke concentration of the No. 2 dividing surface through the smoke difference strategy;

[0164] Close the air inlet in the No. 2 dividing surface, exhaust the gas in the aspirated smoke sensor according to the initialization time of the aspirated smoke sensor, open the air inlet in the No. 3 dividing surface, suck air into the aspirated smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 3 dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the No. 3 dividing surface, substitute the initial smoke concentration of the No. 3 dividing surface, the temperature and humidity values ​​of the No. 3 dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 3 dividing surface, and obtain the smoke concentration of the No. 3 dividing surface through the smoke difference strategy;

[0165] Close the air inlet in the (N·M)-1 dividing surface, exhaust the gas in the aspirating smoke sensor according to the initialization time of the aspirating smoke sensor, open the air inlet in the N·M dividing surface, suck air into the aspirating smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the N·M dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the N·M dividing surface, substitute the initial smoke concentration of the N·M dividing surface, the temperature and humidity values ​​of the N·M dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the N·M dividing surface, and obtain the smoke concentration of the N·M dividing surface through the smoke difference strategy;

[0166] Setting a smoke concentration alarm threshold, which is used to determine whether the smoke concentration reaches the primary judgment condition for a fire alarm;

[0167] When the smoke concentration detected in the segmentation surface is less than the smoke concentration alarm threshold, the smoke concentration detection in the next segmentation surface will be continued;

[0168] When the smoke concentration detected within the segmentation surface is ≧ the smoke concentration alarm threshold, an effective fire extinguishing strategy is used to issue fire alarms of different levels.

[0169] Determining the monitoring space as a rectangular target space provides a clear framework for subsequent experiments and data analysis. This setting helps to accurately locate the positions of smoke concentration detection points and temperature and humidity sensors, ensuring the comparability and validity of experimental data. Setting temperature and humidity detection points at different locations in the target space ensures that environmental parameters can be obtained at each key location. This measure improves the comprehensiveness of data collection and can better reflect environmental changes in the space, thereby affecting the dynamic characteristics of smoke concentration. Through multi-point monitoring, researchers can analyze the impact of temperature and humidity on smoke diffusion at different locations, which helps to formulate more effective fire warning strategies. The data integration of 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, and can provide support for the geometric characteristics of space division. The top surface of the target space is evenly divided into multiple areas, so that the monitored space is refined into smaller parts. This design helps to comprehensively analyze the changes in smoke concentration. The segmentation surface provides a structured method for subsequent detection and data collection, which can clearly identify the monitoring situation of each area. By clarifying the order of segmented rows, researchers can systematically analyze the changes in smoke concentration in different rows. At the same time, the systematic segmentation method helps to compare between each row and reveal the characteristics of smoke diffusion at different locations. The columns of the top surface segmentation are numbered in order, providing a clear structure for subsequent data collection and analysis. Numbering the segmentation planes provides a systematic identification method to ensure that specific segmentation planes can be accurately referenced during data collection and analysis. This numbering rule not only enhances the traceability of the data, but also improves the efficiency of data processing, making it easier to quickly locate the relevant segmentation planes in subsequent analysis. Through the different sorting of odd and even layers, researchers can more comprehensively analyze the changing characteristics of smoke between different segmentation planes, thereby providing support for the establishment of an accurate smoke monitoring model. Determining the center point of each segmentation plane as the smoke concentration detection point can provide representative data of the concentration distribution in space. Setting an air inlet at each smoke concentration detection point ensures that the smoke concentration in each segmentation plane can be monitored in real time. This setting facilitates data collection, allowing each detection point to independently collect air samples, improving the effectiveness of the overall monitoring system. By monitoring different detection points, researchers can more accurately analyze the distribution of smoke in space, which helps to improve the accuracy of fire alarms. Set the initialization time of the aspirating smoke detector to ensure that the device reaches a stable state before starting monitoring. This process helps improve the reliability of the data and avoids data errors caused by the device not being fully ready. By opening the air inlet for air intake and smoke concentration detection, real-time environmental data can be obtained. This process provides basic concentration data for the No. 1 segmentation surface. Combined with the average temperature and humidity, researchers can accurately assess the smoke concentration of the segmentation surface.This comprehensive monitoring method provides accurate data input for the establishment of the smoke density model, thereby enhancing the reliability of the model prediction. This step effectively integrates environmental parameters and provides an important decision-making basis for fire warning. By detecting each segmentation surface one by one, it is ensured that the changes in smoke density in different areas can be accurately captured. This systematic operation process enables each segmentation surface to obtain monitoring data independently and provides sufficient data support for subsequent analysis. By comprehensively considering the factors of temperature and humidity, researchers can have a deeper understanding of the mechanism of smoke diffusion, which helps to improve the responsiveness 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. At the same time, the use of the smoke difference strategy can reduce the impact of the last inhaled gas on the current smoke concentration measurement, making the measurement results more accurate; setting the smoke concentration alarm threshold is to ensure that the system can issue an alarm in time at an appropriate concentration level and improve 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 segmentation surface detection. Once the detected smoke concentration reaches or exceeds the alarm threshold, the system immediately adopts an effective fire extinguishing strategy and can quickly respond to potential fires. This measure ensures that timely response can be made when a fire occurs, and maximizes the protection of personnel and property safety. Through the graded alarm mechanism, corresponding response measures can be taken for different fire levels, which improves the scientificity and effectiveness of fire emergency management.

[0170] The smoke difference strategy specifically includes:

[0171] Obtain the volume of the initial gas in the smoke detection container of the aspirating smoke detector, recorded as V1;

[0172] Get the initial gas smoke concentration in the smoke detection container of the aspirating smoke detector, denoted as c 初 ;

[0173] Obtain the volume of the newly inhaled gas in the smoke detection container of the aspirating smoke detector, recorded as V2;

[0174] The smoke concentration of the newly inhaled gas in the smoke detection container of the aspirating smoke detector is recorded as C 测 ;

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

[0176] The smoke concentration of the gas in the smoke detection container of the mixed aspiration smoke detector is recorded 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 aspirated smoke detector helps to understand the state of the device at the beginning of monitoring and ensure the accuracy of the calculation. The process of recording the initial gas smoke concentration lays the foundation for subsequent data analysis. The accuracy of the initial concentration directly affects the subsequent concentration calculation after mixing. By obtaining the initial concentration, it can provide important information for dynamic monitoring. Determining the volume of the newly inhaled gas provides the necessary parameters for concentration calculation. This process ensures that the amount of new gas added can be clearly understood during the monitoring process, 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 mixed gas provides a comprehensive understanding of the state of the total gas. This process combines the mixing of the initial gas with the newly 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 and ensure that the fire monitoring system can respond to potential fire risks in a timely manner. The acquisition of the concentration after mixing makes the calculation of the concentration model more accurate, providing strong data support for subsequent fire alarm decisions. Through the formula The concentration of smoke in the newly inhaled gas can be obtained.

[0179] The effective fire extinguishing strategy is used to carry out different levels of fire alarm, including:

[0180] When the smoke concentration detected in a segmentation surface is greater than or equal to the smoke concentration alarm threshold, the smoke range is obtained by using an external expansion strategy, and the obtained smoke range is recorded as the target range;

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

[0182] Get the effective fire extinguishing range of each fire sprinkler;

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

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

[0185] If the overlapping area is equal to the mapping surface of the target range, a level 4 fire alarm is triggered;

[0186] If the mapping surface of the target range × 50% ≦ overlapping area < the mapping surface of the target range, a level 3 fire alarm is issued, wherein the 50% is half of the target range as the segmentation standard, and the 50% can be adjusted according to the situation;

[0187] If 0 < overlap area < mapping surface of target range × 50%, a second-level fire alarm is issued;

[0188] If the overlapping area is ≦0, a level one fire alarm will be issued.

[0189] This step ensures that when the smoke concentration reaches the alarm threshold, the diffusion range of the smoke is quickly determined, so as to respond to potential fire risks in a timely manner. Through the expansion strategy, the impact of smoke on the surrounding environment can be effectively evaluated to ensure the accuracy and effectiveness of the alarm system. Identifying the location of the fire sprinkler closest to the target range helps to quickly locate possible fire extinguishing sources and ensure that the fire extinguishing device can be quickly activated when a fire occurs. And obtaining the location of the nearest sprinkler can determine the effective fire extinguishing range. Determining the effective fire extinguishing range of each fire sprinkler is a key step in optimizing the fire extinguishing strategy. This process ensures that when a fire occurs, it can be reasonably deployed according to the coverage capacity of different sprinklers. By understanding the effective range of each sprinkler, the allocation efficiency of fire extinguishing resources can be better evaluated, thereby improving the overall fire extinguishing effect. Mapping the smoke target range and fire extinguishing range onto the horizontal plane provides clear visual data for subsequent analysis. This process enables researchers to intuitively compare the relationship between the smoke diffusion range and the fire extinguishing capacity, promoting a comprehensive understanding of the fire situation. Through this spatial mapping, the effectiveness of the fire sprinkler can be more effectively judged, providing an intuitive basis for the optimization of the fire extinguishing strategy. Determining the overlap area between the effective fire extinguishing range and the target range helps to evaluate the effectiveness of the fire extinguishing strategy. This process can clearly identify which areas can be effectively covered, thereby helping to formulate corresponding response measures. Judging the fire alarm level based on the situation of the overlapping area helps to initiate the corresponding emergency response measures in a timely manner. This step ensures that when the fire sprinkler can completely cover the fire area, a level 4 fire alarm can be quickly issued. At this time, the fire can be extinguished by turning on the fire sprinkler, so there is no need to call more resources; if the mapping surface of the target range × 50% ≦ overlapping area < mapping surface of the target range, a level 3 fire alarm is issued, at which time some resources need to be called to extinguish the fire, but at the same time, the fire sprinkler can also play a certain role in extinguishing the fire; if 0 < overlapping area < mapping surface of the target range × 50%, a level 2 fire alarm is issued, at which time the effective range of the fire sprinkler becomes smaller, and more resources need to be called to assist in extinguishing the fire; when the overlapping area is zero, a level 1 fire alarm is issued to deal with potential high risks. At this time, the fire sprinkler is no longer effective, and all resources need to be coordinated to extinguish the fire.

[0190] Reference Figure 2The scope of smoke obtained by adopting the outward expansion strategy specifically includes:

[0191] Obtain the segmentation surface where the detected smoke concentration is ≧ the smoke concentration alarm threshold, and record it as the first-level smoke concentration excess value surface;

[0192] Obtain all segmentation surfaces that share the same edges and points with the primary smoke density excess surface, detect smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as secondary smoke density excess surfaces;

[0193] Obtain all segmentation surfaces that share the same edges and points with the second-level smoke density super-value surface, detect the smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as the third-level smoke density super-value surface;

[0194] Obtain all segmentation surfaces that share the same edges and points with the third-level smoke density super-value surface, detect the smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as the fourth-level smoke density super-value surface, until the smoke density value of the segmentation surface is obtained that is less than the smoke density alarm threshold;

[0195] Get all the segmentation surfaces whose smoke density values ​​are ≧ the smoke density alarm threshold, get the position of each segmentation surface, and calculate the area of ​​the region composed of all the segmentation surfaces.

[0196] By identifying the segmentation surface where the smoke concentration reaches or exceeds the alarm threshold, high-risk areas can be effectively marked. At this time, the initial smoke concentration excess point is determined. By expanding to the segmentation surface adjacent to the primary excess surface, the scope of the fire risk can be further assessed. This step ensures comprehensive monitoring of the surrounding environment and timely identification of areas that may be affected. By obtaining the secondary smoke concentration excess surface, a more accurate fire risk assessment can be formed to promote the formulation of targeted emergency response plans. This layered expansion strategy enhances the effectiveness of the fire monitoring system and makes the fire response mechanism more flexible and can be dynamically adjusted according to actual risks. By collecting all the segmentation surfaces where the smoke concentration exceeds the standard and their locations, a comprehensive analysis of the affected areas can be carried out. Calculating the area of ​​the area composed of the excess surface helps to clarify the risk level and provide a basis for subsequent fire fighting strategies. Through this systematic data collation and analysis, the efficiency of fire monitoring and response work can be effectively improved, providing a solid guarantee for ensuring public safety.

[0197] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0198] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A fire alarm method based on an aspiration type smoke sensing lithium battery, characterized in that: include: Determine the initial model of smoke density, assuming that the smoke density C S Decreases due to natural diffusion within time t; Setting C S =C0·e -αt , where C0 is the initial concentration of smoke, α is the smoke attenuation constant when there is no external influence, and α is determined by the smoke attenuation constant strategy; Define the temperature influence factor k T k T =1+θ(T-T0), where T0 is 25°C, θ represents the coefficient of temperature accelerating the diffusion of smoke, and θ is determined by the strategy of temperature accelerating the diffusion of smoke; The smoke concentration model after adding the temperature effect is: Define humidity influence factor k H for Where H0 is the humidity 50%, Indicates the influence coefficient of humidity on the decrease of smoke concentration, which is determined by the influence strategy of humidity on the decrease of smoke concentration After adding the effect of humidity to the model, the smoke concentration model equation is: The smoke concentration in the environment is obtained through an aspirating smoke detector.

2. A method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 1, characterized in that: The method of determining α by using the smoke attenuation constant strategy specifically includes: Choose a closed experimental space and keep the humidity and temperature constant; Set up a standard smoke generator in a closed experimental space; Set up a smoke concentration sensor near the smoke generator and record the initial concentration C0; Set the interval length for monitoring smoke concentration, which is recorded as the smoke concentration detection interval; Activate the smoke generator; Get the current time point; Starting from the current time point, the smoke concentration C is recorded every smoke concentration detection interval. S (t); Substitute the recorded concentration data into formula C S (t) = C0·e -αt , calculate and obtain the α value.

3. A method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 1, characterized in that: The strategy of determining θ by accelerating the effect of temperature on smoke diffusion specifically includes: Choose a closed space where you can adjust the temperature and keep the humidity constant; Set multiple different temperature values; Use a temperature sensor to record the temperature value T under each temperature condition; Start the smoke generator to release smoke at each temperature value; Set the smoke concentration detection time interval; Multiple smoke concentration values ​​were measured at each time point; For any time point, the average value of the smoke concentration measured at this time point is taken as the smoke concentration value measured at the current time point, and the recorded data is (T, C S (t)); For each temperature value, use the formula Calculate the relative concentration changes at each time point; Obtain the concentration versus time curve (C S (t), V S (t)); Calculate the slope of the attenuation curve at each temperature condition, t i is the i-th time point; By selecting a reference temperature T0 and a corresponding α(T0), and combining the formula α(T)=α0·(1+θ(T-T0)), the value of θ is obtained.

4. A method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 1, characterized in that: The effect of humidity on the reduction of smoke concentration is determined by the strategy Specifically include: Choose a closed space with controlled humidity to keep the temperature constant; Set multiple humidity conditions; Use a humidity sensor to record the humidity value H under each humidity condition; The smoke generator is activated to release smoke under each humidity condition; Set a fixed time interval and record the smoke concentration C after each time interval S (t); Using the formula Calculate the relative change in concentration at each time point; Obtain the concentration versus time curve (C S (t), V S (t)); Calculate the slope of the attenuation curve for each humidity condition, t i is the i-th time point; By selecting a reference humidity H0 and the corresponding α(H0), combined with the formula Obtain 5. The method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 1 is characterized in that: The method of obtaining the initial smoke concentration in the environment by using the aspirating smoke sensor specifically includes: The space to be monitored is recorded as the target space, and the target space is a cuboid; The center positions of the top surface and four sides of the target space are obtained as the temperature and humidity detection points, which are recorded as position 1, position 2, position 3, position 4 and position 5 respectively; Get the four vertices of the top surface of the target space, which are recorded as point A, point B, point C and point D, where points A and B are on the same edge, points B and C are on the same edge, points C and D are on the same edge, and points D and A are on the same edge; The top surface of the target space is evenly divided into N rows and M columns, and the area surrounded by the dividing line is recorded as the dividing surface; The rows into which the top surface is divided are 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; The columns divided into the top surface are recorded as the first column, the second column, ... the Mth column in order from the closest to the AD edge to the farthest from the AD edge; Number the split faces. Specifically, the split face in the first row and first column is marked as split face number 1, and the split faces are numbered from the first row to the Nth row. The split faces of the odd-numbered layers are numbered in the order from the closest to the AD edge to the farthest from the AD edge, and the split faces of the even-numbered layers are numbered in the order from the closest to the BC edge to the farthest from the BC edge. The first and last split face numbers of two adjacent rows are connected. Get the center point of each segmentation surface and record the center point as the smoke concentration detection point; The air inlet of the aspirating smoke detector is recorded as the air inlet; Set up air inlets at each smoke concentration detection point; Set the initialization time of the aspirating smoke detector; Open the air inlet in the No. 1 dividing surface, draw air into the aspirating smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 1 dividing surface, obtain the temperature value and humidity value of each temperature and humidity detection point, and calculate the average value of the temperature value and humidity value, use the average value as the temperature value and humidity value of the No. 1 dividing surface, substitute the initial smoke concentration of the No. 1 dividing surface, the temperature value and the humidity value of the No. 1 dividing surface into the smoke concentration model equation to obtain the smoke concentration of the No. 1 dividing surface; Close the air inlet in the No. 1 dividing surface, exhaust the gas in the aspirated smoke sensor according to the initialization time of the aspirated smoke sensor, stop exhausting and open the air inlet in the No. 2 dividing surface, suck air into the aspirated smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 2 dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the No. 2 dividing surface, substitute the initial smoke concentration of the No. 2 dividing surface, the temperature value and the humidity value of the No. 2 dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 2 dividing surface, and obtain the smoke concentration of the No. 2 dividing surface through the smoke difference strategy; Close the air inlet in the No. 2 dividing surface, exhaust the gas in the aspirated smoke sensor according to the initialization time of the aspirated smoke sensor, open the air inlet in the No. 3 dividing surface, suck air into the aspirated smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the No. 3 dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the No. 3 dividing surface, substitute the initial smoke concentration of the No. 3 dividing surface, the temperature and humidity values ​​of the No. 3 dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the No. 3 dividing surface, and obtain the smoke concentration of the No. 3 dividing surface through the smoke difference strategy; Close the air inlet in the (N·M)-1 dividing surface, exhaust the gas in the aspirating smoke sensor according to the initialization time of the aspirating smoke sensor, open the air inlet in the N·M dividing surface, suck air into the aspirating smoke sensor, detect the ambient smoke concentration, record the measured ambient smoke concentration as the initial smoke concentration of the N·M dividing surface, obtain the temperature and humidity values ​​of each temperature and humidity detection point, and calculate the average value of the temperature and humidity values, and use the average value as the temperature and humidity value of the N·M dividing surface, substitute the initial smoke concentration of the N·M dividing surface, the temperature and humidity values ​​of the N·M dividing surface into the smoke concentration model equation to obtain the secondary smoke concentration of the N·M dividing surface, and obtain the smoke concentration of the N·M dividing surface through the smoke difference strategy; Setting a smoke concentration alarm threshold, which is used to determine whether the smoke concentration reaches the primary judgment condition for a fire alarm; When the smoke concentration detected in the segmentation plane is less than the smoke concentration alarm threshold, the smoke concentration detection in the next segmentation plane will be continued; When the smoke concentration detected within the segmentation surface is ≧ the smoke concentration alarm threshold, an effective fire extinguishing strategy is used to issue fire alarms of different levels.

6. A method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 5, characterized in that: The smoke difference strategy specifically includes: Obtain the volume of the initial gas in the smoke detection container of the aspirating smoke detector, recorded as V1; Get the initial gas smoke concentration in the smoke detection container of the aspirating smoke sensor, denoted as C 初 ; Obtain the volume of the newly inhaled gas in the smoke detection container of the aspirating smoke detector, recorded as V2; The smoke concentration of the newly inhaled gas in the smoke detection container of the aspirating smoke detector is recorded as C 测 ; The volume of the gas in the smoke detection container of the aspirating smoke detector after mixing is V1+V2, and the mixing is specifically the mixing of the initial gas in the smoke detection container of the aspirating smoke detector and the newly inhaled gas; The smoke concentration of the gas in the smoke detection container of the mixed aspiration smoke detector is recorded as C 总 ; Then V1·C 初 +V2·C 测 =(V1+V2)·C 总 , thus obtaining 7. A method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 5, characterized in that: The effective fire extinguishing strategy is used to carry out different levels of fire alarm, including: When the smoke concentration detected in a segmentation surface is greater than or equal to the smoke concentration alarm threshold, the smoke range is obtained by using an external expansion strategy, and the obtained smoke range is recorded as the target range; Obtain the position of the fire sprinkler closest to the target range in different directions; Get the effective fire extinguishing range of each fire sprinkler; Map the target range and each effective fire extinguishing range onto a horizontal plane; Obtain all areas where the mapping surface of the effective fire extinguishing range overlaps with the mapping surface of the target range; If the overlapping area is equal to the mapping surface of the target range, a level 4 fire alarm is triggered; If the mapping surface of the target range × 50% ≦ overlapping area < the mapping surface of the target range, a level 3 fire alarm is issued; If 0 < overlap area < mapping surface of target range × 50%, a second-level fire alarm is issued; If the overlapping area is ≦0, a level one fire alarm will be issued.

8. A method for fire alarm based on aspiration type smoke sensing lithium battery according to claim 7, characterized in that: The scope of smoke obtained by adopting the outward expansion strategy specifically includes: Obtain the segmentation surface where the detected smoke concentration is ≧ the smoke concentration alarm threshold, and record it as the first-level smoke concentration excess value surface; Obtain all segmentation surfaces that share the same edges and points with the primary smoke density excess surface, detect smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as secondary smoke density excess surfaces; Obtain all segmentation surfaces that share the same edges and points with the second-level smoke density super-value surface, detect the smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as the third-level smoke density super-value surface; Obtain all segmentation surfaces that share the same edges and points with the third-level smoke density super-value surface, detect the smoke density, and obtain all segmentation surfaces whose smoke density is ≧ the smoke density alarm threshold, which are recorded as the fourth-level smoke density super-value surface, until the smoke density value of the segmentation surface is obtained that is less than the smoke density alarm threshold; Get all the segmentation surfaces whose smoke density values ​​are ≧ the smoke density alarm threshold, get the position of each segmentation surface, and calculate the area of ​​the region composed of all the segmentation surfaces.

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