Intelligent analysis terminal for intelligent fire fighting

Abstract

This invention relates to the field of smart fire protection technology, specifically disclosing an intelligent analysis terminal for smart fire protection. The system includes: a data acquisition module for acquiring the width and length of fire lanes, calculating the congestion level of fire lanes, acquiring the passage speed of fire lanes, and calculating a first passage speed; a passage analysis module for acquiring the visibility of fire lanes, calculating a second passage speed, calculating the comprehensive passage coefficient of fire lanes, acquiring the number of people passing through fire lanes per minute and the average number of people passing through, and calculating the priority value of fire lanes; and a passage selection module for dividing circular areas based on the coordinates and extreme distances of personnel, acquiring the distance between fire lanes and personnel, calculating a comprehensive priority value, and selecting the optimal passage. By analyzing data collected by various sensors, the system selects the best escape route for personnel in a fire, improving the escape speed of personnel in a fire and ensuring the safety of personnel in a fire.

Description

Technical Field

[0001] This invention relates to the field of smart fire protection technology, and more specifically to an intelligent analysis terminal for smart fire protection. Background Technology

[0002] Smart fire protection, as a modern fire protection system integrating cutting-edge technologies such as the Internet of Things, artificial intelligence, and big data, is profoundly changing the traditional fire protection model. It achieves a shift from passive disaster relief to proactive prevention through intelligent means, with its core lying in using data-driven and intelligent analysis to improve overall fire safety levels. Currently, mainstream fire detection technologies mainly rely on data collection from various sensors, which constitute the sensory nerve endings of the smart fire protection system.

[0003] While existing technologies can indeed collect data from fire scenes through the sensory nerve endings of intelligent fire protection systems, comprehensive analysis of this data is currently lacking. The most direct risk is misjudging the status of fire escape routes. According to conventional fire emergency plans, people should prioritize evacuation via fire escape routes during a fire. However, in a real fire, fire escape routes can become dangerous areas due to various factors: clogs caused by negligence in daily management, poor smoke extraction due to structural defects in the building, or even the rapid accumulation of dense smoke due to the chimney effect during fire development. A more complex situation arises when densely populated areas in a fire scene converge on the same fire escape route. This not only obstructs the route and slows the escape rate but also increases the probability of stampedes, leading escapees into more dangerous situations. Therefore, comprehensive analysis of data from multiple sensors is necessary to select the optimal escape route for people in a fire. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent analysis terminal for smart fire protection, thereby solving the above-mentioned technical problems.

[0005] The objective of this invention can be achieved through the following technical solutions: An intelligent analysis terminal for smart fire protection, the system comprising: Data acquisition module: Obtains the width W and length L of each fire lane and calculates the congestion level of the fire lanes. I represents the number of objects piled up in the fire escape route, S i This represents the area occupied by the i-th object; Obtain the passage rate R of the fire lane, where the passage rate represents the maximum number of people passing through per meter of net width per minute, and calculate the first passage rate. ; Access Analysis Module: Obtains the visibility J in fire lanes. At that time, calculate the second passage rate. ,in, Represents the preset standard visibility. This represents the preset second correction factor; Calculate the overall traffic coefficient of fire lanes When the smoke detector in the fire escape route is activated, the number of people passing through the fire escape route per minute and the average number of people passing through are obtained. Based on the comprehensive traffic coefficient RZ and the average number of people passing through, Calculate the priority value YX for fire lanes; The access control module obtains the current coordinates of personnel, divides a circular area with these coordinates as the center and a preset limit distance, obtains the distance H between each fire escape route and personnel within the circular area, and calculates the overall priority value of the fire escape routes. ,in, The system represents a preset comprehensive coefficient. Fire lanes are sorted in descending order of comprehensive priority value YZ. The fire lane at the top of the list is designated as the optimal lane, prompting people to use it for escape.

[0006] As a further aspect of the present invention: in the data acquisition module, if the congestion level of the fire escape route... If the path is high-risk, it is not considered the optimal path.

[0007] As a further aspect of the present invention: the data acquisition module obtains the total number of people on the current floor. The minimum value of the combined traffic coefficient If the total number of people If the condition is met, then stop the subsequent steps and select the fire lane with the shortest distance from the fire lane entrance as the optimal lane.

[0008] As a further aspect of the present invention: in the aforementioned channel analysis module, when visibility... At that time, the formula for calculating the second traffic speed R2 is revised to: .

[0009] As a further aspect of the present invention: in the channel analysis module, the carbon monoxide concentration in the fire lane is obtained. If the carbon monoxide concentration exceeds a preset gas concentration threshold, the corresponding fire lane is recorded as a dangerous lane, and the dangerous lane is not selected as the optimal lane.

[0010] As a further aspect of the present invention: In the aforementioned channel analysis module, based on the comprehensive passage coefficient RZ and the average number of people passing through, Methods for calculating the priority value YX of fire lanes include: Priority value ,in, This represents the preset priority correction coefficient, and lx represents the light intensity in the fire escape route. Represents the illumination function, illumination function 'a' represents the preset illumination base and , This represents the preset standard light intensity.

[0011] As a further aspect of the present invention: in the channel selection module, if the distance between the first fire lane in the sorting and the fire source is less than the preset safe distance, it is eliminated, and the above operation is repeated until the optimal channel is selected.

[0012] As a further aspect of the present invention: in the aforementioned channel selection module, when there are fire lanes with equal comprehensive finite values, the fire lane with the higher priority value is placed at the front of the sorting order.

[0013] The beneficial effects of this invention are as follows: First, the congestion level of the fire lane needs to be determined based on the number of objects piled up in the fire lane. The higher the congestion level, the more objects are piled up in the fire lane, which reduces the space left for people to escape from the fire, reduces the escape rate of people in the fire, and threatens the life and property safety of people in the fire. Furthermore, the congestion level can be used to correct the passage speed of the fire lane, thereby obtaining a first passage speed, which represents the maximum passage speed of the fire lane under the current congestion level.

[0014] Next, an analysis was conducted based on the visibility in the fire escape routes. In reality, smoke may flow into fire escape routes for various reasons, causing visual impairment. Therefore, it's necessary to collect the visibility data in the fire escape routes and adjust the first passage rate accordingly. It's important to note that when visibility is higher than the preset standard visibility, it indicates a lower smoke concentration in the fire escape route, with less impact on visibility. At this point, visibility has a relatively low impact on the escape rate of people in the fire escape route. However, when visibility falls below the preset standard visibility, it indicates a higher smoke concentration in the fire escape route, severely affecting visibility. At this point, escapees cannot clearly observe the road conditions, and coupled with congestion during escape, the escape rate will be significantly reduced. According to the formula, when visibility is less than the preset standard visibility, the difference between visibility and standard visibility is negative, thus the calculated second passage rate will decrease. The lower the visibility, the lower the second passage rate, which aligns with reality.

[0015] Then, based on the obtained second passage rate and the width of the fire lane, the comprehensive passage coefficient is calculated. The comprehensive passage coefficient represents the actual personnel passage capacity of the fire lane. Through this data, the escape capability of the fire lane under various conditions such as its own factors, visibility factors, and personnel congestion factors can be comprehensively analyzed. The higher the comprehensive passage coefficient, the higher the personnel escape rate. The average number of people passing through the fire lane per minute is used as the current personnel congestion level of the fire lane, which can be used to analyze in real time whether the fire lane is currently congested.

[0016] In addition to the above, it is also necessary to consider the distance between personnel and each fire escape route. Selecting fire escape routes based on environmental factors is only a key step. However, in practice, it is important to note that in order to reduce the time spent in the fire scene, the priority value and distance of the fire escape routes should be considered comprehensively. The fire escape route with the highest comprehensive priority value should be selected as the optimal route. This not only reduces the time that people spend in the fire scene, but also increases the speed at which people can escape using fire escape routes, thus ensuring the safety of people's lives. Attached Figure Description

[0017] The invention will now be further described with reference to the accompanying drawings.

[0018] Figure 1 This is a structural schematic diagram of an intelligent analysis terminal for smart fire protection according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 As shown, the present invention is an intelligent analysis terminal for smart fire protection, the system comprising: Data acquisition module: Obtains the width W and length L of each fire lane and calculates the congestion level of the fire lanes. I represents the number of objects piled up in the fire escape route. This represents the area occupied by the i-th object; Obtain the passage rate R of the fire lane, where the passage rate represents the maximum number of people passing through per meter of net width per minute, and calculate the first passage rate. ; Access Analysis Module: Obtains the visibility J in fire lanes. At that time, calculate the second passage rate. ,in, Represents the preset standard visibility. This represents the preset second correction factor; Calculate the overall traffic coefficient of fire lanes When the smoke detector in the fire escape route is activated, the number of people passing through the fire escape route per minute and the average number of people passing through are obtained. Based on the comprehensive traffic coefficient RZ and the average number of people passing through, Calculate the priority value YX for fire lanes; The access control module obtains the current coordinates of personnel, divides a circular area with these coordinates as the center and a preset limit distance, obtains the distance H between each fire escape route and personnel within the circular area, and calculates the overall priority value of the fire escape routes. ,in, The system represents a preset comprehensive coefficient. Fire lanes are sorted in descending order of comprehensive priority value YZ. The fire lane at the top of the list is designated as the optimal lane, prompting people to use it for escape.

[0021] It is important to note that, to accurately assess the passage capacity of fire lanes, it is first necessary to quantify the congestion index based on the quantity, volume, and distribution of objects piled up within the lanes. Congestion is a key parameter reflecting the occupancy of lane space; a higher value indicates more obstacles and greater space occupancy in the fire lane, directly leading to a significant reduction in the effective width of the escape route. This space compression effect severely hinders the evacuation of people in a fire, not only drastically reducing the escape rate but also potentially causing secondary disasters such as crowding and trampling during evacuation, thus posing a serious threat to the lives and property of people in the fire.

[0022] In terms of quantitative assessment, the congestion index can be calculated comprehensively using multiple parameters, including but not limited to: the ratio of the area occupied by obstacles to the total area of ​​the passageway, the continuity of obstacle stacking, and the impact coefficient of obstacle height on passage space. Based on this quantitative index, the standard passage speed is dynamically adjusted to ultimately obtain the first passage speed. This index can also be used for real-time monitoring of intelligent fire protection systems. When the congestion exceeds a safety threshold, an early warning is automatically triggered, prompting relevant departments to clear obstacles in a timely manner to ensure unobstructed fire lanes.

[0023] In actual fire scenarios, the accessibility of fire lanes is affected by a variety of complex factors, among which changes in visibility caused by smoke inflow are a key issue that needs to be addressed.

[0024] Fire escape routes are crucial for escape and rescue operations. During a fire, various factors such as structural damage, ventilation system malfunctions, and the spread of fire can cause large amounts of smoke to enter. This smoke not only fills the entire passageway but also scatters and absorbs light, significantly reducing the visual range of people inside and greatly hindering the escape process.

[0025] To ensure the safety and efficiency of personnel evacuation, it is necessary to collect visibility data in fire escape routes. This data can intuitively reflect the actual visual environment within the routes, providing an important basis for subsequent analysis and adjustment of personnel escape rates. Based on the actual collected visibility data, the initial passage speed of personnel in fire escape routes can be reasonably adjusted. An important reference standard needs to be defined here: the preset standard visibility. When the actual measured visibility is higher than this preset standard visibility, it means that the smoke concentration in the fire escape route is at a relatively low level. In this case, the smoke's obstruction and interference with light within the route is relatively small, personnel have a larger visual field and can clearly observe surrounding road conditions and signs, thus escaping relatively smoothly at a normal speed. At this time, the impact of visibility on the personnel escape rate in the fire escape route is relatively low, and personnel can maintain a relatively stable passage speed.

[0026] However, when visibility gradually decreases and reaches a certain critical point—below the preset standard visibility—the situation changes significantly. At this point, it indicates that the smoke concentration in the fire escape route is already quite high. The pervasive smoke severely hinders the propagation of light, greatly limiting the vision of those escaping and making it impossible to clearly observe the specific conditions of the road surface. In this blurred visual environment, it is difficult for people to accurately judge the road conditions ahead, such as the presence of obstacles, the location and direction of staircases, and other crucial information.

[0027] Furthermore, during a fire, people often crowd together due to panic. This crowding is exacerbated in low visibility conditions, further intensifying interference and obstruction between individuals. Unable to see their surroundings clearly, people may hesitate, frequently pause, or change direction during escape, significantly slowing the entire escape process.

[0028] From a mathematical perspective, when visibility is less than the preset standard visibility, the difference between the visibility and the standard visibility is negative. According to the corresponding calculation model, this negative number is incorporated into the escape rate calculation formula, thus reducing the calculated second passage rate. Furthermore, as visibility continues to decrease, the absolute value of this difference becomes larger, and correspondingly, the second passage rate also decreases. This calculation result is completely consistent with reality, fully demonstrating the significant impact of visibility on the escape rate of people in fire escape routes. Therefore, during fire rescue and personnel evacuation, the visibility of fire escape routes must be given high priority, and effective measures must be taken to improve the visual environment within the routes to ensure the safety of personnel.

[0029] In complex scenarios involving fire rescue and evacuation, the actual capacity of fire lanes is a key factor determining whether trapped individuals can evacuate quickly and safely. Firstly, the second passage rate derived from previous analysis fully considers the impact of visibility on escape speed, reflecting the actual movement capabilities of people under different visual conditions. Simultaneously, the width of fire lanes is also a significant factor affecting passage efficiency; wider lanes can accommodate more people simultaneously, reducing congestion and interference.

[0030] This comprehensive passage coefficient is a holistic indicator that takes into account various factors such as the physical conditions of the fire escape route, visibility, and the degree of congestion within the route. It directly reflects the actual passage capacity of the fire escape route; a higher value means that people can escape more quickly within that route.

[0031] To more accurately assess the congestion level in fire escape routes, the average number of people passing through per minute is an effective measure. Real-time monitoring and analysis of this data allows for timely understanding of the density of people within the route. If this value continues to rise and exceeds the route's normal capacity, it indicates congestion, potentially leading to safety hazards such as falls and crushing, thus affecting the efficiency and safety of the entire evacuation process.

[0032] However, focusing solely on the overall accessibility and congestion of a single fire escape route is insufficient to formulate the optimal escape strategy. In reality, buildings typically have multiple fire escape routes, each with varying distances to personnel. Therefore, it is necessary to select the fire escape route that is most suitable for personnel. To reduce the time personnel spend in the fire and improve the success rate of escape, it is also necessary to comprehensively consider two important factors: the priority value of the fire escape route and its distance. Different fire escape routes may have different priority values ​​due to factors such as their location, orientation, and the completeness of fire protection facilities. Calculating the priority value and distance of each fire escape route yields a comprehensive priority value; the greater the distance, the lower the comprehensive priority value. In this way, when selecting the optimal fire escape route, all factors can be comprehensively weighed, rather than simply considering distance. Selecting the fire escape route with the highest comprehensive priority value as the optimal route ensures rapid evacuation while also considering the safety and reliability of the route. This comprehensive approach not only effectively reduces the time people spend in a fire and minimizes their exposure to hazardous environments, but also improves the speed at which people can escape using fire escape routes by optimizing escape paths. This provides stronger support for protecting the lives of the people and minimizes the losses caused by fires.

[0033] In another preferred embodiment of the invention, if the congestion of the fire lane... If the path is high-risk, it is not considered the optimal path.

[0034] It is worth noting that the congestion index of fire lanes is quantified based on the quantity, volume, and distribution of objects piled up within the passageways. Congestion is a key parameter reflecting the occupancy of passageway space; a higher value indicates more obstacles and greater space occupancy in the fire lane, directly leading to a significant reduction in the effective width of escape routes. This space compression effect severely hinders the evacuation of people in a fire, not only drastically reducing the escape rate but also potentially causing secondary disasters such as crowding and trampling during evacuation, thus posing a serious threat to the lives and property of people in the fire. When the congestion of a fire lane exceeds 40%, an automatic warning is triggered, prompting relevant departments to clear obstacles in a timely manner to ensure unobstructed fire lanes and alerting personnel to clear the passageways.

[0035] In another preferred embodiment of the present invention, the total number of people on the current floor is obtained. The minimum value of the combined traffic coefficient If the total number of people If the condition is met, then stop the subsequent steps and select the fire lane with the shortest distance from the fire lane entrance as the optimal lane.

[0036] Understandably, when the number of people on a floor is relatively small, the evacuation pressure is relatively low. In this case, there is no need for complex calculations of the overall priority value of each passage or excessive consideration of factors such as passage congestion and visibility. Simply selecting the nearest fire exit can minimize the movement time of people in the fire scene and achieve safe evacuation quickly. In addition, this simplified strategy is easier to implement in emergency situations, avoiding missing the best escape opportunity due to delays in data calculation or analysis, thus significantly improving evacuation efficiency while ensuring safety.

[0037] In another preferred embodiment of the invention, when visibility At that time, the formula for calculating the second traffic speed R2 is revised to: .

[0038] It is important to note that the width of fire lanes can be a bottleneck effect. Even in areas with high visibility, the width of fire lanes can still be a key factor limiting escape speed. If the lanes are not wide enough, people are prone to crowding, friction, or even blockages during evacuation due to the confined space, leading to a decrease in movement speed.

[0039] The degree of crowding plays a dominant role. Under conditions of good visibility, the density of people in the passageway becomes the key variable affecting the escape rate. When the density exceeds a certain threshold, the mutual interference between individuals increases significantly. This crowding effect offsets the positive impact of visibility advantages, causing the escape rate to stabilize or even decrease.

[0040] In another preferred embodiment of the present invention, the carbon monoxide concentration in the fire lane is obtained. If the carbon monoxide concentration exceeds a preset gas concentration threshold, the corresponding fire lane is recorded as a dangerous lane, and the dangerous lane is not selected as the optimal lane.

[0041] It should be noted that high concentrations of carbon monoxide can cause serious harm to the human body. In the short term, it may cause headaches, dizziness, confusion, or even coma, while long-term exposure can be life-threatening. Furthermore, the presence of carbon monoxide is often accompanied by incomplete combustion or poor ventilation, suggesting a potential combined risk of fire spread and smoke accumulation within the passageway.

[0042] In another preferred embodiment of the invention, based on the comprehensive passage coefficient RZ and the average number of people passing through R... ave Methods for calculating the priority value YX of fire lanes include: Priority value ,in, This represents the preset priority correction coefficient, and lx represents the light intensity in the fire escape route. Represents the illumination function, illumination function 'a' represents the preset illumination base and , This represents the preset standard light intensity.

[0043] In another preferred embodiment of the present invention, if the distance between the first fire lane in the sorting and the fire source is less than a preset safe distance, it is eliminated, and the above operation is repeated until the optimal lane is selected.

[0044] It is worth noting that if the top-ranked fire escape route is less than the preset safe distance from the fire source, it must be immediately removed from the candidate list, and the route selection process must be restarted. Although this route performs best in terms of overall priority, its proximity to the fire source may lead to extremely high risks of heat radiation, rapid fire spread, or structural collapse, thus negating its other advantages. Therefore, an iterative selection mechanism is necessary to ensure that the final selected route meets both safety and feasibility requirements.

[0045] In another preferred embodiment of the present invention, when there are fire lanes with equal comprehensive finite values, the fire lane with the higher priority value is placed in the earlier position in the ranking.

[0046] It is worth noting that when fire lanes have equal overall priority values, to further refine the ranking rules and ensure the scientific and rational nature of the decision-making, a secondary ranking should be conducted based on the priority value of the fire lanes, placing the lanes with higher priority values ​​at the top of the ranking. The core logic of this supplementary rule is that the overall priority value not only reflects the comprehensive performance of a lane in terms of traffic efficiency, safety conditions, and path distance, but the priority value reflects the differentiated advantages of a lane in terms of fire protection design, facility completeness, or strategic importance. Introducing the priority value as the deciding factor when overall priority values ​​are equal can more accurately reflect the implicit advantages of fire lanes and avoid the randomness of decision-making caused by the homogenization of comprehensive indicators.

[0047] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. An intelligent analysis terminal for smart fire protection, characterized in that, The intelligent analysis terminal includes: Data acquisition module: Obtains the width W and length L of each fire lane and calculates the congestion level of the fire lanes. I represents the number of objects piled up in the fire escape route, S i This represents the area occupied by the i-th object; Obtain the passage rate R of the fire lane, where the passage rate represents the maximum number of people passing through per minute per meter of net width, and calculate the first passage rate R1 = R / (1 + Y). Access Analysis Module: Obtains the visibility J in fire lanes; when visibility J < J sta At that time, calculate the second passage rate. , where J sta λ represents the preset standard visibility, and λ represents the preset second correction factor. Calculate the comprehensive passage coefficient of the fire escape route RZ = R² × W. When the smoke alarm in the fire escape route is activated, obtain the number of people passing through the fire escape route per minute and the average number of people passing through, R. ave Based on the comprehensive passage coefficient RZ and the average number of people passing through R ave Calculate the priority value YX for fire lanes; The access control module obtains the current coordinates of personnel, divides a circular area with these coordinates as the center and a preset limit distance, obtains the distance H between each fire escape route and personnel within the circular area, and calculates the overall priority value of the fire escape routes. Where η represents the preset comprehensive coefficient, the fire lanes are sorted in descending order of comprehensive priority value YZ, and the fire lane at the top of the sort is recorded as the optimal lane, prompting people to go to the optimal lane to escape.

2. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, In the data acquisition module, if the congestion rate Y of the fire lane is greater than 40%, it is recorded as a high-risk lane and is not selected as the optimal lane.

3. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, The data acquisition module obtains the total number of people R on the current floor. all The minimum value of the combined traffic coefficient RZ min If the total number of people R all <RZ min If the condition is met, then stop the subsequent steps and select the fire lane with the shortest distance from the fire lane entrance as the optimal lane.

4. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, In the aforementioned channel analysis module, when visibility J ≥ J sta At that time, the formula for calculating the second traffic speed R2 is revised to: .

5. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, In the aforementioned channel analysis module, the carbon monoxide concentration in the fire escape route is obtained. If the carbon monoxide concentration exceeds a preset gas concentration threshold, the corresponding fire escape route is marked as a dangerous route, and dangerous routes are not selected as the optimal routes.

6. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, In the aforementioned channel analysis module, the comprehensive passage coefficient RZ and the average number of people passing through are used as the basis for the analysis. ave Methods for calculating the priority value YX of fire lanes include: Priority value Where μ represents the preset priority correction coefficient, lx represents the light intensity in the fire escape route, and F(lx) represents the illumination function. 'a' represents the preset illumination base and a > 1, lx sta This represents the preset standard light intensity.

7. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, In the aforementioned channel selection module, if the distance between the first fire lane in the sorting and the fire source is less than the preset safe distance, the fire lane is eliminated, and this elimination step is repeated until the current first lane is greater than or equal to the safe distance, and the optimal lane is selected.

8. The intelligent analysis terminal for smart fire protection according to claim 1, characterized in that, In the aforementioned channel selection module, when there are fire lanes with equal overall priority values, the fire lane with the higher priority value is placed at the top of the sorting list.

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