Fire safety bee prevention system
By integrating perception modules and execution modules into bee-proof suits, the threat of bee swarms can be comprehensively assessed, lightweight protection and active bee repellent can be achieved, and the problem of traditional bee-proof suits being heavy and poorly breathable can be solved, thereby improving the safety and operational flexibility of firefighters.
Patent Information
- Application Number
- CN202510909853.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-02
- Publication Date
- 2025-10-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional bee-proof suits are made of thick materials with poor breathability, cannot actively interfere with bee swarms, and lack intelligent threat warnings, resulting in safety hazards for firefighters when facing bee swarm attacks.
A bee-proof suit has been designed, which includes a protective helmet, clothes, pants, boots, and gloves. It is equipped with perception modules such as millimeter-wave radar, chemical sensors, acoustic sensors, and infrared thermal imagers. Combined with LED matrices and pheromone releasers, it comprehensively assesses the threat of bee swarms through analysis and processing units, and implements active bee expulsion and threat warning.
It achieves lightweight protection, significantly reduces the risk of being stung, improves work safety and operational flexibility, and provides graded and precise protection.
Smart Images
Figure CN120753452A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of protective equipment, in particular to a fire safety bee-proof system. Background Art
[0002] Firefighters need to wear specialized bee-proof suits to prevent stings when dealing with hornet nests. Traditional bee-proof suits primarily provide basic physical protection through dense fabric, metal mesh, and a one-piece structure. However, these suits are generally heavy, resulting in poor breathability, restricted mobility, and the risk of heat stress. Structural gaps in key areas can easily be penetrated by bee stings, and their functionality is limited. They lack active bee repellent and threat warning capabilities. Facing a swarm's collective attack, these suits can cause psychological stress and fear for firefighters, creating indirect safety hazards. Summary of the Invention
[0003] The present invention provides a fire safety bee-proofing system, and the technical problem to be solved is: solving the problems of passive defense, poor environmental adaptability, and inability to actively interfere with bee colonies in traditional protective clothing, and realizing integrated protection of intelligent threat warning and active bee expulsion.
[0004] In order to achieve the above-mentioned object of the invention, the present invention provides a fire safety bee-proof system, comprising:
[0005] Bee-proof suit, consisting of a wearable protective helmet, protective clothing, protective pants, protective boots, and protective gloves, with each component connected and disassembled by a zipper;
[0006] The perception module includes a millimeter-wave radar, a chemical sensor, an acoustic sensor, and an infrared thermal imager. The millimeter-wave radar is installed on the protective helmet to detect the movement trajectory of the wasp; the chemical sensors are distributed in multiple positions on the front, back, top and bottom of the anti-bee suit to detect pheromones in the air and locate the direction of the pheromone release source; the acoustic sensor is installed on the anti-bee suit to capture the wingbeat spectrum of the wasp and identify the wasp's attack state; the infrared thermal imager is installed on the protective helmet to detect the wasp's thermal radiation signal and determine the wasp's threat.
[0007] An execution module includes an LED matrix and a pheromone releaser, wherein the LED matrix is a spectrum-adjustable LED matrix and the pheromone releaser is used to release chemical pheromones, both of which are used to interfere with the attack behavior of wasps;
[0008] Based on the biological characteristics of the wasp's visual system, the wasp's compound eyes have four types of photoreceptor cells with very different sensitivities to specific wavelengths. Wasps use ultraviolet light for navigation and avoid certain wavelengths. Therefore, a spectrum-adjustable LED matrix is set up to emit interfering light sources, thereby causing wasps to avoid or reduce their attack power.
[0009] According to the biological characteristics of wasps, their group attack behavior is affected by alarm pheromones such as 5-methyl-2-heptanone; by actively releasing interfering pheromones such as isoamyl acetate: can confuse, neutralize the chemical signal transmission of wasps, interfere with the alarm pheromones of wasps; nonanal: can block the recognition of 5-methyl-2-heptanone by the olfactory receptors of wasps;
[0010] An analysis processing unit is used to receive the sensing module signals, predict the attack intention of wasps by calculation, make the best response mode, and then control the execution module to make the best response measures.
[0011] Further, the calculation method of the attack intention of wasps is to integrate the four dimensions of spatial distance, chemical signal, behavior action and physiological state to calculate the attack threat of the bee swarm.
[0012] Further, the threat level of the attack threat of the bee swarm is divided into:
[0013] 0.3 is GREEN level, i.e. low threat level, when 0.3 0.7 is YELLOW level, i.e. medium threat level, and when Threat_Score≥0.7, it is RED level, i.e. high threat level.
[0014] A fire safety anti-bee method, comprising the following steps:
[0015] Step one, generating radar point cloud data by millimeter wave radar wasp spatial position and motion trajectory;
[0016] Generating pheromone distribution data by detecting the concentrations of 5-methyl-2-heptanone, isoamyl acetate and nonanal in the air through a chemical sensor;
[0017] Generating acoustic frequency spectrum data by capturing the wing vibration sound wave signal of wasps through an acoustic sensor;
[0018] Generating thermal imaging data by identifying the body temperature thermal radiation signal of wasps through an infrared thermal imager;
[0019] Step two, the analysis processing unit receives the radar point cloud data, the pheromone distribution data, the acoustic frequency spectrum data and the thermal imaging data, and performs the following operations:
[0020] Calculating the distance of the nearest bee based on the radar point cloud data, and adjusting the effective threat distance in combination with the density of environmental obstacles;
[0021] Fusing distance threat characteristics, pheromone threat characteristics, behavior threat characteristics and metabolic threat characteristics, and calculating the attack threat score of the bee swarm;
[0022] Dynamically modify parameters, build a spatial topology model based on the distance threat function and radar point cloud data, and adjust the effective distance of environmental perception;
[0023] For the pheromone threat function, a multi-pheromone synergistic model was established, with the addition of synergistic inhibitory factors, isoamyl acetate, and nonanal concentrations as negative feedback;
[0024] For the behavior threat function, add cluster behavior correction;
[0025] Based on the metabolic threat function, dynamic temperature compensation is introduced;
[0026] Step 3: Map the Threat_Score to the three-level threat response interval to obtain the threat level of the swarm attack threat;
[0027] Step 4: Trigger the corresponding response strategy of the execution module according to the threat level: when it is judged to be GREEN level, maintain the standby state;
[0028] When it is judged to be YELLOW level, the LED matrix is activated to emit light waves in the harm-avoidance band;
[0029] When it is determined to be RED level, the following operations are performed synchronously: activating the LED matrix to emit high-frequency flickering interference light; controlling the pheromone releaser to spray a mixed interference agent of isoamyl acetate and nonanal.
[0030] The beneficial effects of the present invention are as follows: this scheme improves the accuracy of threat assessment by adopting methods such as obstacle density adjustment of effective distance, synergistic inhibition of multiple pheromones, compensation of cluster behavior factors, and adaptive adaptation of ambient temperature thresholds, and adopts a dynamic correction mechanism. It combines spectral interference and pheromone interference to actively disintegrate the swarm's attack behavior, significantly reducing the risk of firefighters being stung; the modular design takes into account both lightweight and protective effectiveness, and the three-level response strategy realizes graded and precise protection, effectively improving operational safety and operational flexibility. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 It is a system workflow diagram of the present invention;
[0032] Figure 2 is a system block diagram of the present invention;
[0033] Figure 3 Schematic diagram of the structure of the bee-proof suit of the present invention;
[0034] Among them, 1. Millimeter wave radar; 2. Chemical sensor; 3. Acoustic sensor; 4. Infrared thermal imager; 5. LED matrix; 6. Pheromone releaser. DETAILED DESCRIPTION
[0035] The specific embodiments of the present invention are further described below with reference to the accompanying drawings, wherein the same parts are represented by the same reference numerals.
[0036] It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the accompanying drawings, and the words "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.
[0037] In order to make the contents of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
[0038] A fire safety bee prevention system, comprising:
[0039] Bee-proof suit, consisting of a wearable protective helmet, protective clothing, protective pants, protective boots, and protective gloves, with each component connected and disassembled by a zipper;
[0040] The sensing module is installed on the anti-bee suit and includes a millimeter-wave radar, a chemical sensor, an acoustic sensor, and an infrared thermal imager. The millimeter-wave radar is used to detect the movement trajectory of wasps; the chemical sensor is used to detect pheromones in the air and locate the direction of the pheromone release source; the acoustic sensor is used to capture the wasp's wingbeat spectrum and identify the wasp's attack state; the infrared thermal imager is used to detect the wasp's thermal radiation signal and determine the wasp's threat.
[0041] An execution module includes an LED matrix and a pheromone releaser, wherein the LED matrix is a spectrum-adjustable LED matrix and the pheromone releaser is used to release chemical pheromones, both of which are used to interfere with the attack behavior of wasps;
[0042] The analysis and processing unit is used to receive signals from the perception module, predict the hornet's attack intention through calculation, make the best response, and then control the execution module to make the best response measures.
[0043] In the embodiment, the method for calculating the wasp attack intention is to comprehensively consider the four dimensions of spatial distance, chemical signals, behavioral actions and physiological state to calculate the swarm attack threat. The formula is:
[0044]
[0045] in, is the distance threat function, is the pheromone threat function, is the behavior threat function, is the metabolic threat function, is the weight coefficient of the distance threat function, is the weight coefficient of the pheromone threat function, is the weight coefficient of the behavior threat function, is the weight coefficient of the metabolic threat function; 、 、 Detected and calculated by millimeter wave radar, chemical sensor, acoustic sensor, and infrared thermal imager respectively;
[0046] In this embodiment, 、 、 、 .
[0047] In this embodiment, 0.3 is GREEN level, which is a low threat level. When Threat_Score is 0.7, it is YELLOW, which is a medium threat level; when Threat_Score ≥ 0.7, it is RED, which is a high threat level.
[0048] In this embodiment, the distance threat function is:
[0049]
[0050] The pheromone threat function is:
[0051]
[0052] The behavioral threat function is:
[0053]
[0054] The metabolic threat function is:
[0055]
[0056] In one embodiment, the LED matrix is controlled to dynamically adjust. When the analysis and processing unit determines that the threat level is GREEN, 20% of ultraviolet light and 80% of green light are adjusted to simulate the effect of tree shade spots to form camouflage; when the analysis and processing unit determines that the threat level is YELLOW, 50% of blue light and 50% of yellow-green light are adjusted to simulate the feather color effect of birds when circling to form a threat; when the analysis and processing unit determines that the threat level is RED, 30% of ultraviolet light and 70% of red-yellow light are adjusted to simulate the effect of flames to form a threat.
[0057] In one embodiment, isoamyl acetate and nonanal are each provided with an independent pheromone releaser. When the Threat_Score level is YELLOW, the release ratio of nonanal to isoamyl acetate is 1:10. When the Threat_Score level is RED, the release ratio of nonanal to isoamyl acetate is 1:3.
[0058] In one embodiment, the execution module is activated under the following conditions: the millimeter-wave radar confirms that the swarm distance is less than 5m, the chemical sensor detects pheromones greater than 0.2ppb, and the infrared thermal imager identifies that the body temperature of a single bee is greater than 28°C.
[0059] In one embodiment, when the sensing module detects that the pheromone concentration is ≥5 ppb or the bee wing vibration frequency is >400 Hz, it triggers the release of 50% of the drug reserve within 3 seconds.
[0060] In one embodiment, the analysis and processing unit and the sensor are connected in a star topology.
[0061] In one embodiment, the pheromone releaser has a release angle of 22.5° in a fan-shaped distribution.
[0062] In one embodiment, the execution logic of the dynamic temperature compensation is to set γ=0.2 when Tenv<25∘C, and to set γ=0.8 when Tenv≥25∘C.
[0063] In one embodiment, if within 5 consecutive sampling periods < 0.05, the threat level will be lowered to one level.
[0064] Example 1:
[0065] Firefighters were tasked with clearing a beehive, starting about 5 meters from a tree trunk. The nest, about 40 centimeters in diameter, contained approximately 300 active wasps. The ambient temperature was 28°C, and the trees were shaded by sparse shrubs.
[0066] The millimeter-wave radar on the helmet scanned the swarm and detected that the nearest wasp was 2.5 meters away from the firefighter. It also detected a high density of surrounding obstacles (0.4), and visual obstruction due to branches and shrubs. The distributed chemical sensor detected the alarm pheromone 5-methyl-2-heptanone with an initial concentration of 0.6 ppb, indicating that the swarm was on alert. The acoustic sensor on the shoulder captured the main bee wing vibration frequency of 280 Hz, consistent with the characteristics of the cruise mode. The infrared thermal imager on the helmet measured the average body temperature of the wasps at 30°C, which was higher than the basic combat threshold. The ambient temperature was maintained at 28°C. The analysis and processing unit received four types of data and determined that the current threat state was medium, that is, the edge of the YELLOW level.
[0067] When the firefighters approached to 3 meters, the behavior of the bee colony suddenly changed. The nearest bee approached to 1.2 meters, and more bees gathered to form a mobile barrier. The radar updated the obstacle density to 0.5 in real time, and the concentration of 5-methyl-2-heptanone rose to 1.2ppb, triggering a sharp rise in the alarm pheromone threshold. The frequency of the bee's wing flapping jumped to 380Hz, entering an accelerated attack state, and the bee's body temperature remained at 30°C.
[0068] Distance correction: Due to the influence of obstacle density, the original distance of 1.2 meters is converted to an actual threat distance of 1.8 meters, specifically: 1.2 × (1 + 0.5 × 0.5). Pheromone synergistic inhibition, with a positive feedback term of 1.2 ppb, contributes to a high threat value due to super-threshold concentrations. In the negative feedback term, the system automatically releases 0.3 ppb of nonanal to partially neutralize the threat, but the net threat value remains significantly elevated. At this point, the swarm density is 0.7, and the dense swarm significantly increases the behavioral threat. Temperature threshold compensation: The dynamic threshold triggers an increase from an ambient temperature of 28°C to 30.4°C, reducing the threat value of a body temperature of 30°C to zero. Ultimately, the threat value jumps to 0.76, reaching the RED level, and the swarm enters a high-risk attack state.
[0069] The system initiates active intervention, instantly switching the suit's LED matrix to 30% ultraviolet light, combined with a 70% red and yellow light mix. This light flashes at a high frequency of 500Hz, simulating the visual deterrent of a forest fire. A pheromone dispenser on the back sprays a 1:3 mixture of nonanal and isoamyl acetate toward the swarm, covering a 22.5° fan-shaped area. Fifty percent of the pheromone reserves are released within three seconds, rapidly blocking the wasp's olfactory recognition. Simultaneously, the LED matrix activates high-frequency pulses of 450nm blue light, simulating a swooping honey buzzard, forcing the swarm upward.
[0070] After 5-10 seconds, the pheromone detection concentration dropped to 0.3ppb, which is lower than the warning threshold; the main bee's wing beat frequency dropped back to 250Hz, which is now in cruise mode; the distance to the nearest bee body increased to 4 meters, and the bee colony began to retreat; the threat value dropped to 0.42, which is now at the YELLOW level. The LED switches to 50% blue light combined with 50% yellow-green light to maintain mild deterrence, and the pheromone release is reduced by 80%, entering energy-saving mode.
[0071] After 1 minute, the threat value stabilizes at 0.25, which is at the GREEN level. The LED switches to 20% ultraviolet light and combines it with 80% green light to simulate tree shade spots. The pheromone release stops, and firefighters can safely remove the hive.
[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.
Claims
1. A fire safety bee-proof system, characterized in that: include: Bee-proof suit, consisting of a wearable protective helmet, protective clothing, protective pants, protective boots, and protective gloves, with each component connected and disassembled by a zipper; The sensing module is installed on the anti-bee suit and includes a millimeter-wave radar, a chemical sensor, an acoustic sensor, and an infrared thermal imager. The millimeter-wave radar is used to detect the movement trajectory of wasps; the chemical sensor is used to detect pheromones in the air and locate the direction of the pheromone release source; the acoustic sensor is used to capture the wasp's wingbeat spectrum and identify the wasp's attack state; the infrared thermal imager is used to detect the wasp's thermal radiation signal and determine the wasp's threat. An execution module includes an LED matrix and a pheromone releaser, wherein the LED matrix is a spectrum-adjustable LED matrix and the pheromone releaser is used to release chemical pheromones, both of which are used to interfere with the attack behavior of wasps; The analysis and processing unit is used to receive signals from the perception module, predict the hornet's attack intention through calculation, make the best response, and then control the execution module to make the best response measures.
2. A fire safety bee-proofing system according to claim 1, characterized in that: The method for calculating the hornet's attack intention is to integrate the four dimensions of spatial distance, chemical signals, behavioral movements and physiological status to calculate the swarm's attack threat. The formula is: ； in, is the distance threat function, is the pheromone threat function, is the behavior threat function, is the metabolic threat function, is the weight coefficient of the distance threat function, is the weight coefficient of the pheromone threat function, is the weight coefficient of the behavior threat function, is the weight coefficient of the metabolic threat function.
3. A fire safety bee-proofing system according to claim 2, characterized in that: The distance threat function is: ； in, is the distance to the nearest bee, in meters, where When the risk is fatal; When , the risk is medium threat; When , the risk is a threat attenuation; The pheromone threat function is: ； in, 5-Methyl-2-heptanone concentration, unit: ppb, when When the concentration is greater than 0.8 ppb, the threat value of wasps increases sharply; The behavior threat function is: ； in, Main bee wing vibration frequency, unit: Hz, when When the wasp is at the cruising wing beat frequency, the threat value is rising slowly. When , the wasp is in the attack acceleration state, and the threat value increases sharply; The metabolic threat function is: ； in, is the body temperature of the wasp. = When is the starting temperature of the wasp combat mode, the index Reflects the nonlinear relationship between body temperature and attack energy.
4. A fire safety bee-proofing system according to claim 2, characterized in that: The threat level of a swarm attack threat is divided into: 0.3 is GREEN level, which is a low threat level. When Threat_Score is 0.7, it is YELLOW, which is a medium threat level; when Threat_Score ≥ 0.7, it is RED, which is a high threat level.
5. A fire safety bee-proofing system according to claim 3, characterized in that: Based on the distance threat function, a spatial topology model is constructed in combination with radar point cloud data to adjust the effective distance of environmental perception. The formula is: ； in, is the effective distance, which is the distance adjusted after considering the obstacle density; is the original distance, the spatial distance directly measured by the millimeter-wave radar; is the scale parameter, and , used to quantify the impact of obstacle density on distance; is the obstacle density; Original distance and obstacle density , considering environmental obstacles, calculate the effective distance , so that the distance value increases, reflecting the actual perception difficulty; As input, substitute the original distance threat function Calculate the threat value and then obtain the final distance threat value adjusted after integrating the obstacle density. The formula is: ； in, is the original distance threat function; is the closest bee body distance; On the basis of the pheromone threat function, a multi-pheromone synergistic model was established, and the concentrations of isoamyl acetate and nonanal were increased as negative feedback to obtain the pheromone threat function with fused negative feedback: ； in, and are the actual concentrations of the two substances; and are the corresponding threshold concentrations of the two substances; and is the negative feedback coefficient, which is used to adjust the inhibition strength; Indicates the number of positive feedback pheromone types is the weight coefficient of the ith substance, Its actual concentration is the threshold concentration of the i-th positive feedback pheromone; On the basis of the behavioral threat function, the clustering behavior factor is added, and the amplifying effect of clustering behaviors such as swarm density on the threat is considered to obtain a new behavioral threat function, whose formula is: ； in, is the cluster behavior factor, The larger the value, the more significant the clustering behavior characteristics; is the bee colony density index. The larger the value, the higher the bee colony density and the more significant the threat. =1, used to adjust the influence ratio of different factors on cluster behavior, is the weight of the behavioral threat, is the weight of the density index; Based on the metabolic threat function, a dynamic temperature compensation model is introduced, and the formula is: ； in, is the temperature threshold after dynamic adjustment, The real-time ambient temperature, the reference value is 28 and 25 preset reference temperatures, when When Wasps are quite aggressive; is the ambient temperature correction coefficient (0 ≤ γ ≤ 1), which is used to control the compensation amplitude. Dynamic compensation; The dynamic temperature compensation model is integrated into the original metabolic threat function, using a dynamic threshold Replacing the original fixed threshold of 28°C, the fused function is: ； When the wasp's body temperature When , the threat value is 0, and the wasp has not reached the attack triggering temperature in the current environment; When the wasp's body temperature The threat value increases with Increase and grow, the calculation formula is .
6. A fire safety bee prevention method, characterized in that: The steps include: Step 1: Generate radar point cloud data through the millimeter wave radar wasp spatial position and motion trajectory; Chemical sensors are used to detect the concentrations of 5-methyl-2-heptanone, isoamyl acetate, and nonanal in the air to generate pheromone distribution data; The acoustic sensor is used to capture the acoustic wave signals of the wasp's wingbeats and generate acoustic spectrum data; Identify the thermal radiation signal of the wasp's body temperature through an infrared thermal imager to generate thermal imaging data; Step 2: The analysis and processing unit receives the radar point cloud data, the pheromone distribution data, the acoustic spectrum data, and the thermal imaging data, and performs the following operations: Calculate the closest bee distance based on the radar point cloud data, and adjust the effective threat distance based on the density of environmental obstacles; The swarm attack threat score is calculated by integrating four biological characteristics: distance threat characteristics, pheromone threat characteristics, behavioral threat characteristics, and metabolic threat characteristics; Dynamically modify parameters, build a spatial topology model based on the distance threat function and radar point cloud data, and adjust the effective distance of environmental perception; For the pheromone threat function, a multi-pheromone synergistic model was established, with the addition of synergistic inhibitory factors, isoamyl acetate, and nonanal concentrations as negative feedback; For the behavior threat function, add cluster behavior correction; Based on the metabolic threat function, dynamic temperature compensation is introduced; Step 3: Map the Threat_Score to the three-level threat response interval to obtain the threat level of the swarm attack threat; Step 4: Trigger the corresponding response strategy of the execution module according to the threat level: when it is judged to be GREEN level, maintain the standby state; When it is judged to be YELLOW level, the LED matrix is activated to emit light waves in the harm-avoidance band; When it is determined to be RED level, the following operations are performed synchronously: activating the LED matrix to emit high-frequency flickering interference light; controlling the pheromone releaser to spray a mixed interference agent of isoamyl acetate and nonanal.