Fire-fighting garment intelligent monitoring and early warning method and system, and storage medium

Abstract

The application relates to the technical field of fire-fighting technology, in particular to a fire-fighting clothes intelligent monitoring and early warning method and system and a storage medium, which comprises the following steps: obtaining a primary body bearing coefficient according to initial temperature information, initial humidity information and initial body function information; obtaining a fire condition analysis curve according to a plurality of working temperature information, working humidity information and working body function information; obtaining an interval task function coefficient according to interval task temperature information, interval task humidity information and interval task body function information; obtaining a secondary body bearing coefficient according to the fire condition analysis curve and the interval task function coefficient; judging whether the difference between the secondary body bearing coefficient and the primary body bearing coefficient is greater than a first threshold value; if yes, an early warning signal is sent; and if no, a secondary task permission signal is sent. The application can improve the monitoring and early warning effect when firefighters need to repeatedly enter a fire scene.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fire fighting technology, and in particular to a fire-fighting garment intelligent monitoring and early warning method and system and a storage medium. BACKGROUND

[0002] At present, fires often occur in various places, and fire is one of the main disasters that most frequently and most commonly threaten public safety and social development. Once a large-scale fire occurs, it will cause great damage to the safety of people's lives and property.

[0003] When a fire occurs, fire fighters need to go to the fire site in time to put out the fire and rescue. If a building catches fire and all the people in the building have evacuated, the fire fighters can first put out the fire around the building and then put out the fire inside the building. However, when there are trapped people in the building or the fire area, the fire fighters often need to quickly enter the building or the fire area wearing fire-fighting garments to rescue the trapped people and put out the fire, and the fire cannot be effectively controlled.

[0004] In related technologies, there are many ways to improve fire-fighting garments to protect fire fighters, such as improving fire-fighting garments with more heat-insulating materials, setting cooling devices in fire-fighting garments, and detecting the internal and external temperatures and humidities of fire-fighting garments to determine whether the fire fighters are injured by high temperatures when they rescue people in a fire site. When the temperature in the fire-fighting garment reaches a certain threshold and the body function of the fire fighter decreases to a certain limit, the fire fighter is warned in time to quickly evacuate from the building or the fire area, thereby ensuring the safety of the fire fighters.

[0005] However, in actual applications, when there are many people in a building who need to be rescued, in order to ensure the timeliness of the rescue, each fire fighter sometimes needs to repeatedly enter the fire site to rescue people. When a fire fighter rescues a trapped person from the fire site, the fire fighter takes a short break at a safe place and physically cools the fire-fighting garment by spraying water, so that the internal temperature of the fire-fighting garment is appropriately reduced, and the fire fighter reenters the fire site to carry out the rescue task after a certain rest.

[0006] The monitoring method in related technologies can monitor the real-time body function data of the fire fighter when the fire fighter rescues people in the fire site and make corresponding warnings. However, when the fire fighter needs to reenter the fire site to carry out secondary rescue after completing the first rescue, the method cannot effectively determine whether the fire fighter can withstand the physical load of the secondary rescue or even multiple rescues. In fact, in such an environment with severe conditions and a sharp decline in body function, it is not accurate to judge the body condition of the fire fighter by only comparing the current fixed data. The body function of the fire fighter may rapidly decrease after the fire fighter immediately returns to the fire site without a warning, and the fire fighter may not be able to evacuate in time due to the rapid decline in body function, resulting in a loss of personal safety. SUMMARY

[0007] In order to improve the monitoring and early warning effect when firefighters need to repeatedly enter the fire scene, the application provides a fire suit intelligent monitoring and early warning method, system and storage medium.

[0008] In the first aspect, the application provides a fire suit intelligent monitoring and early warning method, which adopts the following technical scheme:

[0009] A fire suit intelligent monitoring and early warning method, comprising the following steps:

[0010] Obtain initial temperature information, initial humidity information and initial body function information along a preset time interval;

[0011] Obtain a body bearing initial coefficient according to the initial temperature information, the initial humidity information and the initial body function information;

[0012] Obtain working temperature information, working humidity information and working body function information along a preset time interval and record them;

[0013] Obtain a fire condition analysis curve according to a plurality of working temperature information, working humidity information and working body function information;

[0014] Obtain task interval temperature information, task interval humidity information and task interval body function information;

[0015] Obtain a task interval function coefficient according to the task interval temperature information, the task interval humidity information and the task interval body function information;

[0016] Adjust the task interval function coefficient according to the fire condition analysis curve to obtain a corresponding body bearing secondary coefficient;

[0017] Determine whether the difference between the body bearing secondary coefficient and the body bearing initial coefficient is greater than a first threshold value;

[0018] If it is greater, an early warning signal is sent out;

[0019] If it is smaller, a task permission signal is sent out,

[0020] Adjusting the task interval function coefficient according to the fire condition analysis curve to obtain a corresponding body bearing secondary coefficient comprises:

[0021] Determine the trend of the fire condition analysis curve;

[0022] Predict a fire condition analysis change value of the current time according to the trend of the fire condition analysis curve;

[0023] Determine whether the fire condition analysis change value of the current time is greater than a preset safety risk value;

[0024] if greater than, a corresponding high risk coefficient is obtained according to a difference between the fire analysis change value of the current time and a preset safety risk value, the high risk coefficient being a positive value;

[0025] if less than, a corresponding low risk coefficient is obtained according to a difference between the fire analysis change value of the current time and a preset safety risk value, the low risk coefficient being a negative value;

[0026] the task interval performance coefficient is added to the high risk coefficient or the low risk coefficient to obtain a corresponding physical endurance coefficient.

[0027] Preferably, the initial temperature information includes initial indoor temperature information and initial outdoor temperature information, the initial humidity information includes initial indoor humidity information and initial outdoor humidity information, and the physical endurance initial coefficient is obtained according to the initial temperature information, the initial humidity information and the initial physical performance information, including:

[0028] a first safety factor is obtained according to the initial indoor temperature information and the initial outdoor temperature information;

[0029] a second safety factor is obtained according to the initial indoor humidity information and the initial outdoor humidity information;

[0030] a third safety factor is obtained according to the initial physical performance information;

[0031] the first safety factor, the second safety factor and the third safety factor are used to obtain the physical endurance initial coefficient.

[0032] Preferably, the working temperature information includes working outdoor temperature information and working indoor temperature information, the working humidity information includes working outdoor humidity information and working indoor humidity information, and the fire analysis curve is obtained according to a plurality of the working temperature information, the working humidity information and the working physical performance information, including:

[0033] an external environment factor is obtained according to the working outdoor temperature information and the working outdoor humidity information;

[0034] an internal environment factor is obtained according to the working indoor temperature information and the working indoor humidity information;

[0035] a fire analysis change value is obtained according to the external environment factor, the internal environment factor and the working physical performance information;

[0036] a corresponding fire analysis curve is obtained according to the fire analysis change value of a preset time interval.

[0037] Preferably, the task interval temperature information comprises task interval outside temperature information and task interval inside temperature information, the task interval humidity information comprises task interval outside humidity information and task interval inside humidity information, and the obtaining of the task interval function coefficient according to the task interval temperature information, the task interval humidity information and the task interval body function information comprises:

[0038] obtaining a temperature reduction of the task interval outside temperature, the temperature reduction representing a decrease value of the temperature outside the fire-fighting clothes from the end of the task to the current time when the fire-fighting clothes is washed by the water gun in the task interval;

[0039] obtaining a decreasing rate of the task interval inside temperature according to the temperature reduction and the washing time;

[0040] obtaining a first recovery coefficient according to the decreasing rate of the task interval inside temperature;

[0041] judging whether the task interval outside humidity information reaches an outside humidity saturation value;

[0042] if yes, stopping the water gun washing and obtaining the current task interval inside humidity information;

[0043] obtaining a second recovery coefficient according to the task interval inside humidity information;

[0044] obtaining a third recovery coefficient according to the task interval body function information;

[0045] obtaining a task interval function coefficient according to the first recovery coefficient, the second recovery coefficient and the third recovery coefficient.

[0046] Preferably, the task permission signal represents permission of the firefighter to enter the fire field again for a second task, and after the task permission signal is sent, the method further comprises: taking the current task interval function coefficient as a new body bearing initial coefficient.

[0047] Preferably, the first threshold value is a change value, and the selection method of the first threshold value comprises:

[0048] obtaining current task information, the current task information at least comprising the number of times the firefighter enters the fire field for this rescue operation, the rescue time for each time entering the fire field, and the interval time between two times;

[0049] obtaining historical task information, the historical task information at least comprising the number of times the firefighter participates in rescue within a preset time before this rescue operation, the rescue time, and the interval time between two rescues;

[0050] updating the first threshold value according to the current task information and the historical task information.

[0051] In a second aspect, the application provides a fire-fighting suit intelligent monitoring and early warning system, which adopts the following technical scheme:

[0052] The fire-fighting suit intelligent monitoring and early warning system comprises a temperature detection module, a humidity monitoring module, a body function monitoring module and a processing module, wherein,

[0053] The temperature monitoring module is arranged on the outer side and the inner side of the fire-fighting suit respectively, the humidity monitoring module is arranged on the outer side and the inner side of the fire-fighting suit respectively, and the body function monitoring module is arranged on the inner side of the fire-fighting suit.

[0054] The processing module is used for acquiring initial temperature information monitored by the temperature monitoring module, initial humidity information monitored by the humidity monitoring module and body function information monitored by the body function monitoring module, and obtaining a body bearing primary coefficient according to the initial temperature information, the initial humidity information and the initial body function information.

[0055] The processing module is further used for acquiring working temperature information monitored by the temperature monitoring module, working humidity information monitored by the humidity monitoring module and working body function information monitored by the body function monitoring module along a preset time, recording the working temperature information, the working humidity information and the working body function information, and acquiring a fire condition analysis curve according to the working temperature information, the working humidity information and the working body function information.

[0056] The processing module is further used for acquiring task interval temperature information monitored by the temperature monitoring module, task interval humidity information monitored by the humidity monitoring module and task interval body function information monitored by the body function monitoring module, and acquiring a task interval function coefficient according to the task interval temperature information, the task interval humidity information and the task interval body function information.

[0057] The processing module is further used for adjusting the task interval function coefficient according to the fire condition analysis curve to obtain a corresponding body bearing secondary coefficient, and judging whether a difference between the body bearing secondary coefficient and the body bearing primary coefficient is greater than a first threshold value; if yes, an early warning signal is sent; if no, a task permission signal is sent.

[0058] In a third aspect, the application provides a computer storage medium, which adopts the following technical scheme:

[0059] The computer storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the fire-fighting suit intelligent monitoring and early warning method.

[0060] In summary, the application has at least one of the following beneficial technical effects:

[0061] The risk factor for firefighters to re-enter the fire scene for rescue is determined by predicting the fire situation after the first mission.

[0062] When firefighters re-enter the fire scene after resting, the predicted risk factor is added to their physical endurance coefficient at this time. This allows the predicted risk factor to be incorporated into the physical endurance coefficient in advance, thereby improving the accuracy of monitoring.

[0063] The difference between the physical endurance coefficient before the second mission and the initial physical endurance coefficient before the first mission is calculated to determine whether the degree of physical recovery after the mission meets the requirements for re-entering the fire scene for rescue. Attached Figure Description

[0064] Figure 1 This is a schematic diagram of the overall process of an embodiment of this application;

[0065] Figure 2 This is a schematic diagram of the process for obtaining the initial coefficient of physical endurance in an embodiment of this application;

[0066] Figure 3 This is a schematic diagram of the process for obtaining the fire analysis curve in an embodiment of this application;

[0067] Figure 4 This is a schematic diagram of the process for obtaining the body's endurance coefficient in an embodiment of this application. Detailed Implementation

[0068] The following is in conjunction with the appendix Figures 1-4 This application will be described in further detail.

[0069] This application discloses an intelligent monitoring and early warning method for fire suits.

[0070] First, it should be noted that a standard fire suit is composed of multiple layers of fabric, from the outside in, including an outer layer, a waterproof and breathable layer, a thermal insulation layer, and a comfort layer. The outer layer primarily protects the body from heat and injury caused by external hard objects; the waterproof and breathable layer prevents water from entering the fire suit, but allows water vapor from the firefighter's sweat to escape to the outside; the thermal insulation layer provides heat insulation; and the comfort layer increases the firefighter's comfort while wearing the suit.

[0071] like Figure 1 As shown, a method for intelligent monitoring and early warning of fire suits includes:

[0072] S100 acquires initial temperature information, initial humidity information, and initial body function information at preset time intervals.

[0073] The initial temperature information includes initial external temperature information and initial internal temperature information, and the initial humidity information includes initial internal humidity information and initial external humidity information. The initial external temperature information and the initial external humidity information represent the temperature and humidity outside the fire suit when the firefighter first enters the fire scene and puts on the fire suit. In most cases, the initial external temperature information and the initial external humidity information are the ambient temperature and humidity. The initial internal temperature information and the initial internal humidity information represent the temperature and humidity in the microclimate zone between the innermost fabric of the fire suit and the human skin. The initial body function information includes basic information of human body function such as heartbeat, blood pressure, blood sugar, etc., and is used to reflect the physical condition of the firefighter.

[0074] The temperature information can be detected by a temperature sensor, the humidity can be detected by a humidity sensor, and the body function information can be tested by a professional body function detection device. The detection can be started by setting a switch on the protective clothing, or the time for obtaining data can be controlled by a computer.

[0075] S200, obtaining a body bearing coefficient according to the initial temperature information, the initial humidity information and the initial body function information.

[0076] S210, obtaining a first safety factor according to the initial internal temperature information and the initial external temperature information.

[0077] As shown in Figure 1 and Figure 2 , the first safety factor is a safety factor value represented by the temperature information. When the external temperature is high in summer, the corresponding internal temperature is also high, and the first safety factor is high. When the external temperature is low in winter, the corresponding internal temperature is also low, and the first safety factor is relatively low. The lower the first safety factor, the safer it represents. The proportion of internal temperature and external temperature can be adjusted according to the actual situation. Since the conventional fire suit includes a heat insulation layer, the heat insulation layer can effectively block the external temperature. Therefore, although the external temperature difference is large in summer and winter, the internal temperature difference will not be large, but the internal temperature has a greater impact on the firefighter's body. Therefore, the proportion can be adjusted according to the actual situation.

[0078] For example, in the initial environment, the outside temperature is 35 degrees, which belongs to high temperature weather, and the inside temperature after wearing the protective clothing is 29 degrees, because the heat insulation layer of the protective clothing effectively blocks the high temperature outside. In the initial environment, the outside temperature is 10 degrees, which belongs to low temperature weather, and the inside temperature after wearing the protective clothing is 26 degrees, because the protective clothing can effectively block the inside temperature from overflowing. It can be found that the outside temperature difference is 25 degrees, but the inside temperature difference is only 3 degrees. Therefore, the increase of the outside temperature has a smaller impact on the first safety factor than the increase of the inside temperature. Therefore, different safety sub-factors can be obtained according to different increases, and the corresponding proportions are multiplied and added. For example, the sub-factor of the outside temperature is A, the proportion is 0.3, the sub-factor of the inside temperature is B, the proportion is 0.7, and the final first safety factor is 0.3*A+0.7*B.

[0079] S220, obtaining a second safety factor according to the initial inside humidity information and the initial outside humidity information.

[0080] The second safety factor is a safety factor value represented by the humidity information. Humidity is an important reference factor affecting the heat insulation performance of the protective clothing and the comfort level of the firefighter wearing the protective clothing. In the initial state, the firefighter just puts on the protective clothing and has not entered the fire scene. The humidity inside and outside the protective clothing is not much different. The inside humidity may be a little higher than the outside humidity due to the sweating of the firefighter's body. When the outside humidity is too high, the inside humidity is relatively higher, and the comfort of the firefighter is lower, so the second safety factor value is higher. When the outside humidity is lower, although the inside humidity is lower, the heat insulation performance of the protective clothing is relatively reduced, so the second safety factor is also relatively higher. Therefore, different second safety factors can be obtained according to different humidity information, and the value standard can be changed according to the actual situation.

[0081] At the same time, the amount of water contained in the protective clothing fabric has a linear relationship with the relative humidity of the environment where the protective clothing is placed. The greater the relative humidity of the environment where the protective clothing is placed, the lower the temperature of the comfort layer back heat surface of the protective clothing. The smaller the relative humidity of the environment where the protective clothing is placed, the higher the temperature of the comfort layer back heat surface of the protective clothing. Therefore, when the relative humidity of the environment where the protective clothing is placed is 30%-50%, the heat insulation effect of the protective clothing after wearing at the beginning of the task is better, so the humidity of the environment where the protective clothing is placed is equivalent to the outside humidity of the protective clothing at the beginning of the task, which affects the value of the second safety factor.

[0082] S230, obtaining a third safety factor according to the initial body function information.

[0083] If the firefighter's blood pressure is high, blood sugar is low, and heart rate is too fast before entering the fire scene, it will affect the value change of the third safety factor. The worse the body function information, the higher the third safety factor, indicating that it is more dangerous.

[0084] S240, obtaining a body initial endurance coefficient according to the first safety factor, the second safety factor and the third safety factor.

[0085] The body initial endurance coefficient represents an initial physical condition before the firefighter enters the fire scene for the first time. If the temperature is high, the humidity is high, the blood pressure is high, etc., the body initial endurance coefficient is also high, which means that the load on the firefighter's body before the task is relatively high, and the difference in the body endurance after the subsequent task is performed is smaller.

[0086] S300, if the initial temperature information rises by a preset amplitude, it is judged that the working environment is entered, and the working temperature information, the working humidity information and the working body function information are obtained along a preset time interval and recorded.

[0087] In the fire scene, the temperature of the flame can be as high as thousands of degrees, and the surrounding environment is hundreds of degrees, and the temperature of the heat radiation is also 1000 degrees. Therefore, in the moment of entering the fire scene from outside the fire scene, the initial temperature information, especially the initial external temperature information, will definitely have a high amplitude rise. Therefore, if the temperature rise is detected, it is judged that the firefighter has entered the fire scene.

[0088] The working temperature information includes working external temperature information and working internal temperature information, the working humidity information includes working external humidity information and working internal humidity information, the working external temperature information and the working external humidity information represent the temperature and humidity outside the firefighter's fire suit when working in the fire scene, and the working internal temperature information and the working internal humidity information represent the temperature and humidity in the microclimate zone when the firefighter works in the fire scene. The working body function information represents the blood pressure, heartbeat, blood sugar and other basic body function information of the firefighter when working.

[0089] The values are obtained along a preset time and recorded to obtain the changes of the external environment parameters and the body function parameters of the firefighter during the rescue in the fire scene.

[0090] S400, obtaining a fire condition analysis curve according to a plurality of working temperature information, working humidity information and working body function information.

[0091] As shown in Figure 1 and Figure 3 , specifically comprising the following steps:

[0092] S410, obtaining an external environment factor according to the working external temperature information and the working external humidity information.

[0093] The external environment factor is used to reflect the condition of the external environment of the firefighter's fire suit during the rescue in the fire scene.

[0094] S420, obtaining an internal environment factor according to the working internal temperature information and the working internal humidity information.

[0095] Internal environmental factors are used to reflect the internal environment of firefighters' suits during fire rescue operations.

[0096] S430 obtains fire situation analysis change values ​​based on external environmental factors, internal environmental factors, and working body function information.

[0097] Among them, external environmental factors have a correlation with internal environmental factors. If the external temperature is too high, it will increase the rate of increase of the internal temperature. If the external temperature is low, it will slow down the rate of increase of the internal temperature. That is, when the external environmental factors are high, the internal environmental factors tend to increase. When the external environmental factors are low, the internal environmental factors will not decrease, but the rate of increase will be relatively slow.

[0098] When firefighters are conducting rescue operations at a fire scene, the external humidity is normally low because the water sprayed onto the flames by firefighters will vaporize in most cases. However, in order to lower their own temperature, firefighters usually spray water onto their fire suits during the rescue process, which will increase the relative external humidity.

[0099] Under normal circumstances, sweat evaporates and passes through the waterproof and breathable layer. When the ambient temperature exceeds 35 degrees Celsius, the human body mainly relies on sweat evaporation to cool down. However, when firefighters spray water on themselves in a fire, if the amount of water is large, the fabric fibers of the waterproof and breathable layer will absorb moisture due to wicking. After absorbing water, the fabric fibers will seal the tiny gaps between the fibers, preventing the water vapor from escaping during sweat evaporation. If sweat evaporation is hindered, energy will accumulate on the skin surface and in the microclimate inside the fire suit, which will affect the humidity and even the temperature inside the work area.

[0100] When the energy accumulated in the microclimate zone between the human body and fabric exceeds the body's ability to maintain its core temperature, the core temperature rises, and heat symptoms appear. When the core temperature is 37–38.5 degrees Celsius, heat cramps may occur; when the core temperature reaches 38.5–40.5 degrees Celsius, heat fatigue may occur; and when the core temperature continues to rise, the central nervous system may become disordered, leading to heatstroke symptoms.

[0101] In other words, external temperature and humidity information can affect the values ​​of internal temperature and humidity information to some extent. In turn, internal temperature and humidity information can affect the physical function information of firefighters. When firefighters suffer from heat-related illnesses, they will continuously spray their fire suits with water to alleviate symptoms and lower their temperature, which in turn affects external temperature and humidity information to some extent. The three factors in the working environment present a closed-loop effect.

[0102] There is a balance point in the closed loop effect, at which the exo-temperature information and the exo-humidity information reach a balance value, which does not have a negative impact on the endo-temperature information and the endo-humidity information, the temperature of the microclimate zone in the fire suit reaches a comfortable peak value, that is, 37 degrees, and the sweat evaporation of the firefighter can flow normally, and the firefighter will not feel discomfort due to excessive heat or humidity.

[0103] If one of the temperature, humidity and body function is abnormal, the balance point will be broken, for example, if the external temperature is high, the internal temperature will rise accordingly, and the firefighter will feel uncomfortable; if the internal humidity is high, the core temperature of the human body will also rise, and the firefighter will feel uncomfortable; if the firefighter's body function is abnormal, the temperature needs to be lowered by spraying, which may also cause the fabric fiber gap in the waterproof and breathable layer to become smaller, so that the sweat evaporation of the firefighter cannot be removed, and the firefighter's body function is aggravated.

[0104] Therefore, according to the balance of the data, the corresponding fire analysis change value is obtained, when the firefighter enters the fire scene for rescue, the fire condition deteriorates, and the balance of the data is more easily broken, when the fire condition is controlled and the fire is smaller, the balance of the data is more difficult to break, so the fire analysis change value represents the change of the fire condition, and indirectly indicates the possibility of the balance being broken and the impact after the balance is broken.

[0105] S440, a corresponding fire analysis curve is obtained according to the fire analysis change value of the preset time interval.

[0106] The preset time interval can be 10s, and 6 fire analysis change values are obtained per minute, so that the fire analysis change value can be obtained more frequently, and the corresponding fire analysis curve is obtained, which represents the change of the fire when the firefighter enters the fire scene for rescue, and indirectly represents the balance between the several monitoring data. Reflect whether the current fire is decreasing or increasing, indirectly reflect whether the balance between the several monitoring data of the firefighter is easy to break or difficult to break, and if broken, whether the impact on the firefighter is getting bigger or smaller.

[0107] S500, if the work temperature information decreases by a preset amplitude, it is judged that the task interval environment is entered, and the task interval temperature information, the task interval humidity information and the task interval body function information are obtained.

[0108] When moving from the fire scene to the outside of the fire scene, the work temperature information will decrease greatly, from several hundred degrees or even thousands of degrees in the fire scene to room temperature, at which time it is judged that the firefighter is withdrawn from the fire scene and enters the task interval state.

[0109] The task interval temperature includes task interval outside temperature information and task interval inside temperature information, the task interval humidity information includes task interval outside humidity information and task interval inside humidity information, the task interval outside temperature information and the task interval outside humidity information represent temperature information when the firefighter completes a task and comes out of the fire scene for rest, the task interval inside temperature information and the task interval inside humidity information represent humidity information when the firefighter completes a task and comes out of the fire scene for rest, and the task interval physical function information represents blood pressure, heartbeat, blood sugar and other physical function information when the firefighter completes a task and comes out of the fire scene for rest.

[0110] S600, obtaining a task interval function coefficient according to the task interval temperature information, the task interval humidity information and the task interval physical function information.

[0111] S610, obtaining a temperature reduction amount of the task interval outside temperature.

[0112] As shown in Figure 1 and Figure 4 , the temperature reduction amount represents a temperature drop value of the outside of the firefighter's clothing from the end of the task to the current time when the water gun is used to flush the firefighter's clothing in the task interval. It should be noted that when the firefighter moves from the fire scene to the outside of the fire scene, the temperature outside the firefighter's clothing will instantaneously decrease greatly because the firefighter is away from the position with more flames, and this part of the temperature reduction is not included in the temperature reduction amount. The temperature reduction amount in the embodiment of the application only represents the temperature reduction amount when the water gun is used to flush the firefighter's clothing.

[0113] S620, obtaining a drop rate of the task interval inside temperature according to the temperature reduction amount and the flushing time.

[0114] The outside temperature reduction amount depends on the water spraying amount of the water gun. The application of water to the outer layer of the firefighter's clothing can effectively reduce the temperature inside the fabric, that is, the temperature inside the firefighter's clothing in the task interval. Experiments have proved that when the water application amount is greater than , the temperature can be controlled within a certain range and no longer increases, and further increasing the water amount can appropriately reduce the temperature inside the firefighter's clothing.

[0115] Because the water spraying unit per second is constant when the water gun sprays, the corresponding water spraying amount can be obtained through the time, and the drop rate of the inside temperature can be obtained according to the reduction value of the outside temperature and the corresponding water spraying amount.

[0116] It should be noted that although the drop rate of the outside temperature is fast, because the inside temperature is in a closed space and the firefighter's clothing includes several layers of structure with poor heat conduction capacity, the drop rate of the inside temperature will not be fast when the outside temperature drops fast.

[0117] S630, obtaining a first recovery coefficient according to the drop rate of the task interval inside temperature.

[0118] The first recovery coefficient can be understood as the recovery degree of the firefighter between two tasks determined according to the temperature. The higher the temperature drop rate within the task interval, the greater the first recovery coefficient, and the higher the recovery degree of the temperature factor.

[0119] S640, judging whether the humidity information outside the task interval reaches the external humidity saturation value, if yes, stopping the water gun flushing, and obtaining the current humidity information within the task interval.

[0120] As described above, because the water can be absorbed by the fabric fibers of the waterproof and breathable layer, when the water spraying amount reaches a certain degree, the humidity on the firefighter suit reaches saturation, and the water exceeding the saturation value will permeate from the gap of the fabric fibers, which will increase the internal humidity of the firefighter suit. When the firefighter comes out of the fire scene, the inside of the firefighter suit will become humid due to the evaporation of a large amount of sweat, and the external water will permeate again, which will make the internal humidity too high and affect the comfort.

[0121] Therefore, when the humidity information outside the task interval reaches the external humidity saturation value, the water gun flushing is stopped, and the humidity information inside the firefighter suit at this time is obtained to determine whether the humidity inside the firefighter suit has improved after the rest.

[0122] S650, obtaining a second recovery coefficient according to the humidity information within the task interval.

[0123] The second recovery coefficient can be understood as the recovery degree of the firefighter between two tasks determined according to the humidity.

[0124] It should be noted that humidity is different from temperature. Under normal circumstances, the lower the temperature, the more comfortable the firefighter will feel, but the more comfortable humidity is a middle value, and exceeding this middle value will be too humid, affecting the comfort of the firefighter and the core temperature of the firefighter's body. If the humidity is too low, the heat tolerance of the firefighter will be affected, so when the humidity within the task interval is too low or too high, the second recovery coefficient is low, representing the poor recovery degree of the firefighter, and when the humidity within the task interval is at the middle value, the second recovery coefficient is high, representing the good recovery degree of the firefighter.

[0125] S660, obtaining a third recovery coefficient according to the body function information within the task interval.

[0126] The third recovery coefficient can be understood as the recovery degree of the firefighter between two tasks determined according to the function information such as blood pressure, blood sugar, and heartbeat during the rest.

[0127] If the blood pressure, blood sugar and heart rate are higher, lower and faster respectively during the rest period, especially before the second rescue, the third recovery coefficient is lower, which means the firefighter's physical recovery is poorer. If the blood pressure, blood sugar and heart rate are normal before the second rescue, the third recovery coefficient is higher, which means the firefighter's physical recovery is better.

[0128] S670, obtaining a task interval function coefficient according to the first recovery coefficient, the second recovery coefficient and the third recovery coefficient.

[0129] The task interval function coefficient is evaluated according to the temperature, humidity and physical function represented by each recovery coefficient. Each recovery coefficient corresponds to a score of the task interval function coefficient in the database. The scores are added to obtain the task interval function coefficient.

[0130] S700, adjusting the task interval function coefficient according to the fire analysis curve to obtain a corresponding physical endurance coefficient.

[0131] Specifically, it includes:

[0132] S710, judging the trend of the fire analysis curve.

[0133] The trend of the curve is judged by the fire analysis curve. If the trend is rising, it means that the fire situation in the fire scene has not been controlled after the first task, but is increasing. If the trend is falling, it means that the fire situation in the fire scene has been controlled after the first task, and is slowly weakening.

[0134] S720, predicting the fire analysis change value at the current time according to the trend of the fire analysis curve.

[0135] The fire analysis curve is obtained by collecting a plurality of fire analysis change values at the same interval. According to the trend of the curve, the change value after the curve is predicted in combination with the interval length from the time when the firefighter leaves the fire scene after the first task to the time when the firefighter enters the fire scene for the second task.

[0136] For example, the fire analysis change value every minute within 7 minutes before the firefighter leaves after the first task is 13, 15, 16, 18, 19, 19 and 20. It can be found that the trend is that the fire situation is getting more and more serious. The subsequent prediction method can also use the conventional data prediction method. In the embodiment of the application, the average of the difference values is taken as an example. The difference values between each minute are 2, 1, 2, 1, 0 and 1 respectively. The difference values are added and divided by the interval number to obtain the rising value of each minute, which is about 1.2. If the rest time is 5 minutes, the current fire analysis change value can be predicted as 20+5*1.2=26. The final value may be different according to different prediction methods. The more accurate prediction method can be selected according to the actual application.

[0137] S730, determining whether the fire analysis change value at the current time is greater than the preset safety risk value.

[0138] The safety risk value refers to the controllable extreme value of the fire risk, which can be understood as that the safety risk of the firefighter in the task is controllable at this safety risk value. If it exceeds this safety risk value, it means that the safety risk in the fire scene is high at this time, and it is easy to appear personal safety hidden danger and cannot be predicted and controlled. If it is less than this safety risk value, it means that the safety risk in the fire scene is low at this time, and the firefighter can ensure that there will be no personal safety hidden danger to a certain extent when performing the task.

[0139] S740, if greater, obtaining a corresponding high risk coefficient according to the difference between the fire analysis change value at the current time and the preset safety risk value, the high risk coefficient being a positive value.

[0140] S750, if less, obtaining a corresponding low risk coefficient according to the difference between the fire analysis change value at the current time and the preset safety risk value, the low risk coefficient being a negative value.

[0141] If the fire analysis change value at the current time is greater than the safety risk value, it means that the current fire scene is in a high-risk state, and a high risk coefficient is obtained according to the difference between the two, the greater the difference, the higher the risk, and the more dangerous the fire scene.

[0142] If the fire analysis change value at the current time is less than the safety risk value, it means that the current fire scene is in a low-risk state, and a low risk coefficient is obtained according to the difference between the two, the greater the difference, the lower the risk, and the safer the fire scene.

[0143] S760, adding the task interval function coefficient to the high risk coefficient or the low risk coefficient to obtain a corresponding physical endurance coefficient.

[0144] The task interval function coefficient refers to the recovery degree of the firefighter after rest, and adding the high risk coefficient or the low risk coefficient is to add the risk threshold of the second task to the task interval function coefficient.

[0145] The inter-mission functional coefficient can only refer to the physical condition of the firefighter at the moment after rest, but if the current fire scene is more dangerous, the corresponding risk coefficient needs to be considered. When the fire is larger, the temperature inside the fire suit will rise faster, and the physical strength and physical condition of the firefighter will decrease faster. At this time, the firefighter needs to be in better condition, and when the fire is small, the firefighter does not need to rest for a long time to complete the second task. Therefore, by adding the risk coefficient, the physical function of the firefighter is further corrected to obtain a new judgment standard, which is the body bearing secondary coefficient, which represents the physical load demand of the firefighter when entering the fire scene again according to the change of the fire.

[0146] S800, judge whether the difference between the body bearing secondary coefficient and the body bearing initial coefficient is greater than a first threshold value, if greater, issue a warning signal, if less, issue a task permission signal.

[0147] The task permission signal represents that the firefighter is allowed to enter the fire scene again for the second task.

[0148] The body bearing secondary coefficient after the first task is changed compared to the body bearing initial coefficient before the first task due to the decline of the physical function of the firefighter, the rise of the temperature and humidity inside the fire suit. The second task requires more physical load and higher risk coefficient than the first task, so the body bearing secondary coefficient is greater than the body bearing initial coefficient.

[0149] The difference between the body bearing secondary coefficient and the body bearing initial coefficient represents the consumption of the physical load at the beginning of the second task compared to the physical load at the beginning of the first task. We can understand that the smaller the difference between the body bearing secondary coefficient and the body bearing initial coefficient, the closer the recovery of the firefighter's physical condition after the first task to the physical condition at the beginning of the first task; the greater the difference, the more the recovery of the firefighter's physical condition after the first task is not close to the physical condition at the beginning of the first task.

[0150] We can understand that before the first task, the physical condition of the firefighter is the best, and as the task progresses, the physical load becomes larger and larger, and the consumption becomes larger and larger. After the first task, the greater the body consumption, the more difficult it is to recover.

[0151] Therefore, the first threshold value is a limit value, which generally represents the consumption of the firefighter for one rescue task obtained by historical data. If the difference is greater than the first threshold value, it indicates that the recovery of the firefighter's body is poor, so it is not easy to participate in the second task, and there is a greater possibility of danger caused by physical overload. At this time, a warning will occur. If the difference is less than the first threshold value, it indicates that the recovery of the firefighter's body is good, so the firefighter can participate in the second task.

[0152] Correspondingly, the greater the difference, the worse the recovery of the body, and the smaller the difference, the better the recovery of the body.

[0153] Through the above scheme, the danger that the firefighter cannot accurately know the body load condition and makes a wrong decision when repeatedly entering the fire scene for rescue is solved, and the monitoring and early warning effect when the firefighter needs to repeatedly enter the fire scene is improved.

[0154] Compared with the method of monitoring the body function data in real time in the conventional technology, the application is aimed at the case of repeatedly entering the fire scene, the prediction of the fire after the first task is added, and the prediction result is converted into a risk coefficient. When the firefighter takes a break and the body function data is recovered to a certain extent, the corresponding risk coefficient is added to improve the load demand of the firefighter. The influencing factors corresponding to different risks are added to the body function data in advance, and at this time, the body bearing function coefficient not only simply indicates the recovered function data of the firefighter, but also indicates the function data required for the second task. Further, whether the firefighter has recovered to the body function that can perform the second task is judged by the difference between the function data before the second task and the first task, and warning is performed according to the difference. The warning method is more comprehensive and accurate. Through certain risk prediction and risk preprocessing, the advance nature of the warning is improved, and the possibility of danger is reduced.

[0155] For example, assuming that the body bearing coefficient is 5, which represents that the recovery of the firefighter's body is good, then when the firefighter performs a task, the related technology method is used, and when the body bearing coefficient is 5 after combining temperature, humidity and other information, the warning ends, and the firefighter can consider that he can perform the next task;

[0156] Using the method in the application, after the first task is completed, it is judged by the fire analysis curve that the current fire analysis change value is an upward trend and greater than the safe risk value, so a high risk coefficient is obtained, which is assumed to be 3. After the body bearing coefficient of the firefighter is restored to 5, the warning does not stop because the high risk coefficient needs to be added to the body bearing coefficient. Therefore, the actual body bearing coefficient is 8. Because the risk is predicted to be high, this risk needs to be considered in advance, and the body bearing initial coefficient during the first task is 2. The difference is 6, which indicates that the recovery of the body function of the firefighter is not enough to face the subsequent high-risk task, and the recovery degree is poor. Therefore, the warning is still continued until the body bearing coefficient is restored to 5 from 8. At this time, the difference is 3, which is small, and it is judged that the firefighter can perform the next task.

[0157] Further, after sending the signal of the task, the method further comprises: taking the current task interval function coefficient as a new body bearing initial coefficient.

[0158] That is, after each task, the task interval function coefficient when entering the fire scene again is taken as the new body bearing initial coefficient. After each task, the recovery of the body bearing coefficient is different from the initial condition. If the coefficient before the first task is always selected as the initial coefficient, the subsequent early warning result is inaccurate.

[0159] Further, the first threshold is a change value, and the selection method of the first threshold comprises:

[0160] The first threshold is updated according to the current task information of the number of times the firefighter has entered the fire scene, the rescue time of each time entering the fire scene, and the interval time between two rescues, and the historical task information of the number of times the firefighter has participated in rescue within a preset time before the current rescue operation, the rescue time, and the interval time between two rescues.

[0161] The rescue operation mentioned above refers to a total rescue behavior. One rescue operation may include one or more rescue tasks of entering the fire scene.

[0162] If the firefighter has entered the fire scene many times or has stayed in the fire scene for a long time or the rest time between two rescue tasks is short, the first threshold will change accordingly, so that the early warning condition is more accurate and strict.

[0163] Similarly, if the firefighter has participated in a rescue operation within one or two days before or has participated in a rescue operation with a long rescue time not long ago, the body recovery may also be affected, so the first threshold also needs to be adjusted accordingly.

[0164] The application also discloses a fire-fighting clothes intelligent monitoring and early warning system, which comprises a temperature detection module, a humidity monitoring module, a body function monitoring module and a processing module, wherein,

[0165] The temperature monitoring module is arranged on the outer side and the inner side of the fire-fighting clothes, the humidity monitoring module is arranged on the outer side and the inner side of the fire-fighting clothes, and the body function monitoring module is arranged on the inner side of the fire-fighting clothes.

[0166] The processing module is used for acquiring initial temperature information monitored by the temperature monitoring module, initial humidity information monitored by the humidity monitoring module and body function information monitored by the body function monitoring module, and obtaining a body bearing initial coefficient according to the initial temperature information, the initial humidity information and the initial body function information.

[0167] The processing module is further configured to acquire the working temperature information monitored by the temperature monitoring module, the working humidity information monitored by the humidity monitoring module and the working physical function information monitored by the physical function monitoring module at preset time, and record the information, and acquire a fire condition analysis curve according to the working temperature information, the working humidity information and the working physical function information;

[0168] The processing module is further configured to acquire the task interval temperature information monitored by the temperature monitoring module, the task interval humidity information monitored by the humidity monitoring module and the task interval physical function information monitored by the physical function monitoring module, and acquire a task interval function coefficient according to the task interval temperature information, the task interval humidity information and the task interval physical function information.

[0169] The processing module is further configured to adjust the task interval function coefficient according to the fire condition analysis curve to obtain a corresponding physical endurance secondary coefficient, and determine whether the difference between the physical endurance secondary coefficient and the physical endurance primary coefficient is greater than a first threshold value; if yes, a pre-warning signal is sent; if no, a task permission signal is sent.

[0170] The application further discloses a computer storage medium, which stores a computer program, and the computer program is executed by a processor to realize the fire-fighting clothes intelligent monitoring and pre-warning method.

[0171] The above are preferred embodiments of the application, and are not intended to limit the protection scope of the application, so that: any equivalent changes made according to the structure, shape, principle of the application should be covered within the protection scope of the application.

Claims

1. A method for intelligent monitoring and early warning of fire suits, characterized in that, Includes the following steps: Acquire initial temperature information, initial humidity information, and initial body function information at preset time intervals; The initial body tolerance coefficient is obtained based on the initial temperature information, initial humidity information, and initial body function information. If the initial temperature information shows an increase of a preset range, it is determined that the work environment has been entered, and the work temperature information, work humidity information, and work body function information are acquired and recorded at preset time intervals. Fire analysis curves are obtained based on several types of working temperature information, working humidity information, and working body function information; If the working temperature information decreases by a preset amount, it is determined that the task interval environment has been entered, and the task interval temperature information, task interval humidity information, and task interval physical function information are obtained. The task interval function coefficient is obtained based on the task interval temperature information, task interval humidity information, and task interval physical function information. The task interval functional coefficient is adjusted according to the fire situation analysis curve to obtain the corresponding physical endurance coefficient. Determine whether the difference between the secondary body endurance coefficient and the initial body endurance coefficient is greater than a first threshold. If the value is greater than the specified value, a warning signal will be issued. If it is less than, then a task permission signal is issued. The task interval functional coefficient is adjusted based on the fire situation analysis curve to obtain the corresponding physical endurance coefficient, including: Determine the trend of the fire analysis curve; Predict the change value of the fire situation analysis at the current time based on the trend of the fire situation analysis curve; Determine whether the current fire situation analysis change value is greater than a preset safety risk value; If it is greater than the value, a corresponding high-risk coefficient is obtained based on the difference between the fire situation analysis change value at the current time and the preset safety risk value. The high-risk coefficient is a positive value. If it is less than the value, a corresponding low-risk coefficient is obtained based on the difference between the fire situation analysis change value at the current time and the preset safety risk value. The low-risk coefficient is a negative value. The corresponding physical endurance coefficient is obtained by adding the high-risk coefficient or low-risk coefficient to the task interval function coefficient.

2. The intelligent monitoring and early warning method for fire suits according to claim 1, characterized in that: The initial temperature information includes initial internal temperature information and initial external temperature information. The initial humidity information includes initial internal humidity information and initial external humidity information. The initial internal temperature information and initial internal humidity information represent the temperature and humidity inside the firefighter's fire suit when the firefighter first puts it on before entering the fire scene. The initial external temperature information and initial external humidity information represent the temperature and humidity outside the firefighter's fire suit when the firefighter first puts it on before entering the fire scene. The initial body tolerance coefficient obtained based on the initial temperature information, initial humidity information, and initial physical function information includes: The first safety factor is obtained based on the initial internal temperature information and the initial external temperature information; The second safety factor is obtained based on the initial internal humidity information and the initial external humidity information; A third safety factor is obtained based on the initial bodily function information; The initial coefficient of physical endurance is obtained based on the first safety factor, the second safety factor, and the third safety factor.

3. The intelligent monitoring and early warning method for fire suits according to claim 1, characterized in that: The working temperature information includes external working temperature information and internal working temperature information. The initial humidity information includes external working humidity information and internal working humidity information. The internal working temperature information and internal working humidity information represent the temperature and humidity inside the firefighter's suit when working in the fire scene. The external working temperature information and external working humidity information represent the temperature and humidity outside the firefighter's suit when working in the fire scene. The fire analysis curve is obtained based on several of the aforementioned working temperature information, working humidity information, and working physical function information, including: External environmental factors are obtained based on the outside temperature and humidity information. Internal environmental factors are obtained based on the working temperature information and the working humidity information. The fire situation analysis change value is obtained based on the external environmental factors, internal environmental factors, and working body function information. The corresponding fire analysis curve is obtained based on the fire analysis change values ​​at preset time intervals.

4. The intelligent monitoring and early warning method for fire suits according to claim 1, characterized in that: The mission interval temperature information includes temperature information outside the mission interval and temperature information inside the mission interval. The mission interval humidity information includes humidity information outside the mission interval and humidity information inside the mission interval. The temperature and humidity information inside the mission interval represent the temperature and humidity inside the firefighter's suit when the firefighter has completed a mission and is resting after leaving the fire scene. The temperature and humidity information outside the mission interval represent the temperature and humidity outside the firefighter's suit when the firefighter has completed a mission and is resting after leaving the fire scene. The mission interval functional coefficient is obtained based on the mission interval temperature information, mission interval humidity information, and mission interval physical function information, including: The temperature decrease outside the mission interval is obtained, and the temperature decrease is characterized by the decrease in the temperature outside the fire suit from the end of the mission to the current time when the fire suit is washed with water gun during the mission interval. The rate of temperature decrease within the task interval is obtained based on the temperature decrease and the rinsing time. The first recovery coefficient is obtained based on the rate of temperature decrease during the task interval; Determine whether the external humidity information of the task interval has reached the external humidity saturation value; If the target is reached, stop the water jet rinsing and obtain the humidity information within the current task interval; The second recovery coefficient is obtained based on the humidity information within the task interval; A third recovery coefficient is obtained based on the physical function information during the task interval; The task interval functional coefficient is obtained based on the first recovery coefficient, the second recovery coefficient, and the third recovery coefficient.

5. The intelligent monitoring and early warning method for fire suits according to claim 1, characterized in that: The mission permission signal indicates that firefighters are allowed to re-enter the fire scene for a secondary mission. After issuing the mission permission signal, the signal also includes: using the current mission interval functional coefficient as the new initial coefficient of physical endurance.

6. The intelligent monitoring and early warning method for fire suits according to claim 5, characterized in that: The first threshold is a variable value, and the method for selecting the first threshold includes: Obtain current task information, which includes at least the number of times the firefighters have entered the fire scene during this rescue operation, the rescue time for each entry, and the interval between two entries. Obtain historical mission information, which includes at least the number of times the rescue was carried out within a preset time period prior to this rescue operation, the time of the rescue, and the interval between two rescues; The first threshold is updated based on the current task information and the historical task information.

7. An intelligent monitoring and early warning system for fire suits, characterized in that: It includes a temperature detection module, a humidity monitoring module, a body function monitoring module, and a processing module, among which, The temperature monitoring module is installed on the outside and inside of the fire suit, the humidity monitoring module is installed on the outside and inside of the fire suit, and the body function monitoring module is installed on the inside of the fire suit. The processing module is used to acquire the initial temperature information monitored by the temperature monitoring module, the initial humidity information monitored by the humidity monitoring module, and the body function information monitored by the body function monitoring module, and to obtain the initial body tolerance coefficient based on the initial temperature information, initial humidity information, and initial body function information. The processing module is also used to acquire and record the working temperature information monitored by the temperature monitoring module, the working humidity information monitored by the humidity monitoring module, and the working body function information monitored by the body function monitoring module at preset times, and to obtain a fire analysis curve based on the working temperature information, working humidity information, and working body function information. The processing module is also used to acquire the task interval temperature information monitored by the temperature monitoring module, the task interval humidity information monitored by the humidity monitoring module, and the task interval body function information monitored by the body function monitoring module, and to acquire the task interval function coefficient based on the task interval temperature information, task interval humidity information, and task interval body function information. The processing module is also used to adjust the mission interval function coefficient according to the fire analysis curve to obtain the corresponding physical endurance coefficient, and to determine whether the difference between the physical endurance coefficient and the initial physical endurance coefficient is greater than a first threshold; if it is greater, a warning signal is issued; if it is less, a mission permission signal is issued. The task interval functional coefficient is adjusted based on the fire situation analysis curve to obtain the corresponding physical endurance coefficient, including: Determine the trend of the fire analysis curve; Predict the change value of the fire situation analysis at the current time based on the trend of the fire situation analysis curve; Determine whether the current fire situation analysis change value is greater than a preset safety risk value; If it is greater than the value, a corresponding high-risk coefficient is obtained based on the difference between the fire situation analysis change value at the current time and the preset safety risk value. The high-risk coefficient is a positive value. If it is less than the value, a corresponding low-risk coefficient is obtained based on the difference between the fire situation analysis change value at the current time and the preset safety risk value. The low-risk coefficient is a negative value. The corresponding physical endurance coefficient is obtained by adding the high-risk coefficient or low-risk coefficient to the task interval function coefficient.

8. A computer storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the intelligent monitoring and early warning method for fire suits as described in any one of claims 1 to 6.

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