CN111815893B - Fire-fighting early warning method based on Internet of things and storage medium - Google Patents
Fire-fighting early warning method based on Internet of things and storage medium Download PDFInfo
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- CN111815893B CN111815893B CN202010676824.6A CN202010676824A CN111815893B CN 111815893 B CN111815893 B CN 111815893B CN 202010676824 A CN202010676824 A CN 202010676824A CN 111815893 B CN111815893 B CN 111815893B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
- G08B17/117—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means by using a detection device for specific gases, e.g. combustion products, produced by the fire
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/016—Personal emergency signalling and security systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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Abstract
The invention relates to a fire-fighting early warning method and a storage medium based on the Internet of things, which solve the problems that when a fire disaster occurs, due to untimely notification, personnel in the place where the fire disaster occurs cannot respond in time, so that the influence degree of the fire disaster is increased, and even huge loss is caused, and comprise the following steps: acquiring fire condition information of each site of each floor of a building; determining an alarm level corresponding to the fire condition information; and determining the personnel needing to be notified based on the alarm level and the fire fighting treatment experience condition of the corresponding personnel, and constructing and sending a fire treatment scheme to the corresponding personnel based on the fire fighting equipment condition at the corresponding position. The invention can timely inform the personnel needing to be informed based on the position of the fire and timely provide a corresponding processing scheme, thereby reducing the influence caused by the fire.
Description
Technical Field
The invention relates to the technical field of fire fighting, in particular to a fire fighting early warning method and a storage medium based on the Internet of things.
Background
The internet of things is also called "internet of things," abbreviated as "IoT," and is a network for exchanging and communicating information from item to item. At present, the architecture of the internet of things system is gradually mature, internet of things protocol systems such as ZigBee, 6LoWPAN, lora and NB-IoT are complete, and front-end and back-end devices such as sensors, controllers, electronic tags and intelligent electrical appliances integrating the communication function of the internet of things are increasing day by day, and the internet of things system starts to be in a large-scale commercial application stage. Various human-living buildings are an important scene of application of the Internet of things, the human-living buildings are large and complex systems, and the performance and efficiency of the buildings in the aspects of safety, energy conservation, livable life and the like are expected to be improved by means of the Internet of things. For modern human-occupied buildings, no matter their size, fire safety and fire emergency are all considerations that must be placed in the primary location.
The automatic fire alarm system applied in China at present basically takes an automatic regional fire alarm system, an automatic centralized fire alarm system and an automatic fire alarm system of a control center as the main parts. The installation mode is mainly a distributed control mode. The system generally forms a system by itself, is self-closed, cannot realize resource and service sharing among the systems, can only react in a duty room in a building, can only adopt a telephone alarm mode by fire-fighting duty personnel when a fire occurs, cannot automatically report to a '119' fire alarm receiving center of a city, and cannot reflect the field conditions of specific fire-initiating parts, fire intensity and the like.
The above prior art solutions have the following drawbacks: when a fire breaks out, due to the fact that the notification is not timely, personnel in the place where the fire breaks out cannot respond timely, the influence degree of the fire is increased, and even huge loss is caused.
Disclosure of Invention
The invention mainly aims to provide a fire-fighting early warning method based on the Internet of things, which can timely inform people needing to be informed of the position of a fire and timely provide a corresponding processing scheme based on the position of the fire, and reduce the influence caused by the fire.
In order to achieve the purpose, the fire fighting early warning method based on the Internet of things comprises the following steps:
acquiring fire condition information of each site of each floor of a building, wherein the fire condition information comprises temperature, visibility, smoke, harmful gas concentration values and building stability values of the site;
determining an alarm level corresponding to the fire condition information based on the acquired fire condition information and the conditions of whether personnel are in corresponding positions, wherein the alarm level is divided into a first-level alarm level and a second-level alarm level, the first-level alarm level needs professional fire-fighting personnel to participate, and the second-level alarm level can be solved only by residents through fire-fighting equipment;
and determining the personnel needing to be notified based on the alarm level and the fire fighting treatment experience condition of the corresponding personnel, and meanwhile, constructing a fire treatment scheme and sending the fire treatment scheme to the corresponding personnel based on the fire fighting equipment condition at the corresponding position.
Optionally, the step of confirming the alert level is as follows: searching a fire condition data range in which the fire condition at the current position is located from a preset database in which the fire condition data range and the alarm level corresponding to the corresponding fire condition data range are stored, and determining the alarm level;
and inquiring whether personnel exist at the corresponding position point aiming at the position point determined as the secondary alarm level, and if no personnel exist at the corresponding position point, judging that the alarm level corresponding to the fire condition of the corresponding position point is the primary alarm level.
Optionally, the step of determining the person to be notified is as follows: searching and determining the fire fighting experience of the personnel at the position with the alarm level from a preset database in which the fire fighting experience of the personnel at different positions and the mobile phone numbers of the corresponding personnel are stored, wherein the fire fighting experience of the personnel is divided into three levels, and the fire fighting experience levels are inexperienced, skilled and expert levels in sequence from low to high;
if the alarm level at the position is the second-level alarm level, analyzing and determining the position of the corresponding person based on the mobile phone number of the corresponding person, comparing the position with the position of the preset position, and selecting the person which is at the preset position and can be notified and has the highest experience level as the notified person;
if the alarm level at the position is a first-level alarm level, determining the personnel which are positioned at the preset position and can be informed and have the highest experience level as informed personnel and field responsible personnel at the position;
and meanwhile, the fire fighting team responsible personnel responsible for the corresponding building are searched as off-site notification personnel from a preset database in which the buildings and the mobile phone numbers of the fire fighting team responsible personnel responsible for the corresponding buildings are stored.
Alternatively, the determination step of determining the person who is at the preset site and has the highest experience level that can be notified is as follows:
sequentially carrying out timed information confirmation receiving prompts on personnel at preset positions from high experience level to low experience level;
if the personnel do not determine to receive within the timing time, the notified object carries out flow switching from high experience level to low experience level until the circulating personnel determine to receive within the timing time, and the receiving personnel are determined to be the personnel which are at the preset position and can notify the highest experience level.
Optionally, the acquiring step of the status of the fire fighting equipment at the corresponding site is as follows:
starting a detection device used for detecting fire-fighting equipment at a corresponding position, and performing corresponding detection on the fire-fighting equipment to obtain detection data;
comparing the detection data with preset normal use range data, if the comparison is consistent, judging that the fire fighting equipment is usable, otherwise, judging that the fire fighting equipment is unusable;
and inquiring the available fire fighting equipment from a preset database in which the fire fighting equipment and the available residual use frequency of the corresponding fire fighting equipment are stored, and if the inquired available fire fighting equipment is less than a first preset value, judging that the corresponding available fire fighting equipment belongs to the unavailable fire fighting equipment.
Optionally, the corresponding persons notified by the fire handling scheme are respectively a site responsible person and a fire team responsible person at the site, and if the corresponding persons notified by the fire handling scheme are respectively the site responsible person at the site, the construction scheme of the corresponding fire handling scheme is as follows:
searching a fire condition processing scheme which accords with corresponding fire-fighting conditions from a preset database which stores personnel needing to be informed, the existing fire-fighting equipment and the fire condition processing scheme under the corresponding fire-fighting conditions, wherein the fire condition processing scheme is divided into a plurality of processing steps;
searching the processing time of each step from a preset database which stores the processing steps and the time consumption of the corresponding processing steps;
the fire processing scheme is divided into steps, and processing time labels are made for each step.
Optionally, the step of the fire handling scheme notifying a field responsible person at the site comprises the steps of:
sending a complete fire processing scheme to a field responsible person;
and (4) according to the sequence of the steps and the processing time of the corresponding steps, independently sending the processing scheme of the next step to the mobile phone of the on-site responsible person one by one and carrying out voice prompt.
Optionally, if the corresponding persons notified by the fire handling scheme are respectively fire-fighting team responsible persons, the construction scheme of the corresponding fire handling scheme is as follows:
predicting the predicted time consumed by a fire-fighting team from reaction to the site;
based on the current fire situation data and the estimated time consumed by the fire fighting team from the reaction to the site, searching the current fire situation data and the fire situation data when the fire fighting team arrives at the site under the condition that the fire fighting team is responsible for the estimated time consumed from the reaction to the site from the preset corresponding relation of the change of the fire situation data along with the time;
and finding out the fire condition data range to which the fire condition data belongs and the fire condition processing scheme of the position of the fire condition when a fire-fighting team arrives at the site from the preset fire condition data range, the site of the fire condition and the fire condition processing scheme under the corresponding fire condition.
Optionally, the calculation step of predicting the predicted time-consuming responsibility of the fire-fighting team from reaction to site is as follows:
planning a shortest path from the fire fighting team to the position according to the position of the fire fighting team and/or the position of the fire occurrence position;
analyzing the consumed time of a fire fighting team on the road by the length corresponding to the shortest path and the preset running speed of the fire fighting truck, adding the reaction aggregation time of the fire fighting team, and taking the sum of the length corresponding to the shortest path and the preset running speed of the fire fighting truck as the estimated consumed time from the reaction to the field of the fire fighting time;
wherein the reaction nucleation time of the fire-fighting team is the average value of the reaction nucleation times close to the current three times.
A computer-readable storage medium comprising a program which, when loaded and executed by a processor, implements the internet of things-based fire warning method as claimed in any one of the preceding claims.
The fire-fighting early warning method based on the Internet of things can timely detect the occurrence condition of the fire, determine the alarm level of the fire and the personnel needing to be informed based on the relevant data of the occurrence condition of the fire and the factors of whether the relevant personnel are on the spot, and timely inform the personnel needing to be informed of the fire processing scheme of the personnel meeting the requirement, so that the informed personnel can conveniently arrange in advance and better process the fire later, the informed personnel comprise a fire-fighting team and field responsible personnel, the fire processing schemes informed by the fire-fighting team and the field responsible personnel are based on the conditions of the personnel, and the fire can be better processed by matching.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic overall step diagram of the fire-fighting early warning method based on the internet of things.
Fig. 2 is a detailed step diagram of step S200 in fig. 1.
FIG. 3 is a confirmation step of the person required for notification in FIG. 1.
Fig. 4 is a procedure for confirming the situation of the defense apparatus in fig. 1.
Fig. 5 is a step of constructing a corresponding fire management scenario if corresponding persons notified by the fire management scenario are respectively the site responsible persons at the site.
Fig. 6 is a construction procedure of a corresponding fire handling scheme if corresponding persons notified by the fire handling scheme are fire team managers, respectively.
Fig. 7 shows the detailed steps of step SD10 in fig. 6.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all directional indicators (such as upper, lower, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include a single feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be interconnected within two elements or in a relationship where two elements interact with each other unless otherwise specifically limited. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, the invention discloses a fire-fighting early warning method based on the internet of things, which includes steps S100 to S300.
In step S100, fire condition information of each site on each floor of the building is obtained, where the fire condition information includes a temperature, a visibility, smoke, a concentration value of harmful gas, and a building stability value of the site.
Each position point of each floor of the building mentioned in step S100 mainly refers to public places such as corridors, halls, elevator halls, public toilets, miscellaneous rooms and the like.
The fire condition information can be acquired through the fire condition sensing probe, the type of the fire condition sensing probe can be a temperature probe and is used for detecting whether a position point of the probe is close to an open fire point and a fire state of the open fire point, the temperature of the position point close to the open fire point is obviously higher than a normal range under a normal condition, the temperature is higher when the fire is larger, the temperature is lower when the fire is smaller, and the temperature is in the normal range when the position point far away from the open fire point. The type of the fire sensing probe can also be a light illumination probe and is used for detecting the visibility information of a position point where the probe is located, so that the position point with the visibility lower than the lower limit threshold value caused by factors such as power failure or dense smoke in the fire process can be obtained. The type of the fire sensing probe can be a smoke and harmful gas concentration probe, and as is well known, the smoke and harmful gas concentration information such as carbon monoxide, chlorine, ammonia, sulfur monoxide, particulate matters and the like at the position of the probe can be detected to judge whether the smoke and harmful gas concentration information exceeds the safety upper limit value because the smoke and harmful gas concentration probe is not burnt at high temperature but is inhaled to cause coma and asphyxiation when the fire sensing probe has the greatest threat to the safety of a human body in the fire process. The fire sensing probe can be a structure detector based on ultrasonic echo or mechanical electric signal sensing, which is embedded into a site of a building structure and used for detecting building structure stability information to judge whether the building structure stability information is lower than an allowable lower limit value, and if the building structure stability information is lower than the allowable lower limit value, the building structure where the site is located is influenced by a fire and has a collapse risk.
In step S200, based on the acquired fire condition information and the status of whether there is a person at the corresponding location, an alarm level corresponding to the fire condition information is determined, where the alarm level is divided into a first-level alarm level and a second-level alarm level, the first-level alarm level needs a professional fire-fighting person to participate, and the second-level alarm level can be solved only by a resident through a fire-fighting device.
The method comprises the following steps that whether a person is at a corresponding position is judged in the step S200, whether the person is at the corresponding position can be detected through a human body detection device arranged at the corresponding position and/or a shooting device arranged at the corresponding position, the human body detection device is preferably a pyroelectric sensor, whether the person is detected can be judged through pyroelectric detection signals based on the detected corresponding position, the shooting device is preferably a camera, and whether the person is at the corresponding position can be shot and collected in time through the camera.
The professional firefighters mentioned above refer to persons who are in the profession of fire rescue.
The above-mentioned fire fighting equipment is exemplified by the following: foam extinguisher, dry powder fire extinguisher and liquid carbon dioxide fire extinguisher, wind-force fire extinguisher, the detailed classification is as follows: 1. the fire extinguishing apparatus includes: a heptafluoropropane fire extinguishing device, a carbon dioxide fire extinguisher, a 1211 fire extinguisher, a dry powder fire extinguisher, an acid-base foam fire extinguisher, a carbon tetrachloride fire extinguisher, a fire extinguisher hanger, a mechanical foam fire extinguisher, a water type fire extinguisher, other fire extinguishing appliances and the like; 2. the fire hydrant comprises an indoor fire hydrant system and an outdoor fire hydrant system. The indoor fire hydrant system comprises an indoor fire hydrant, a water hose and a water gun. The outdoor fire hydrant comprises two categories, namely, aboveground and underground, and is widely used in large petrochemical fire-fighting facilities; because the installation conditions and the use sites of regions are different and are limited differently, a stable high-pressure water system is mostly adopted in a petrochemical fire-fighting water system, and a fire hydrant is gradually converted into a pressure-adjustable fire hydrant from a common type; 3. breaking and dismantling tools including fire axes, cutting tools and the like. Other fire-fighting systems include automatic fire alarm systems, automatic water-spraying fire-extinguishing systems, smoke-preventing and exhausting systems, fire-preventing separation systems, fire-fighting broadcast systems, gas fire-extinguishing systems, emergency evacuation systems, and the like.
For the determination of the alarm level, step S200 may be divided into step S210 to step S220, refer to fig. 2.
In step S210, the fire condition data range in which the fire condition at the current location is located is found from the preset database in which the fire condition data range and the alarm level corresponding to the fire condition data range are stored, and the alarm level is determined.
The fire condition data range mentioned in step S210 sets corresponding ranges for temperature, visibility, smoke, harmful gas concentration value, and building stability value, and when 3 or more of the above 5 influencing factors satisfy the condition range corresponding to the corresponding alarm level, it is determined that the corresponding fire condition is the corresponding alarm level.
In step S220, for the site determined as the secondary alarm level, it is queried whether there is a person at the corresponding site, and if there is no person, it is determined that the alarm level corresponding to the fire condition at the corresponding site is the primary alarm level.
The step S220 takes into account the evolution of the fire, and if no personnel on site participates in the fire fighting, the fire will also change from small to large, and the influence degree is not inferior to that of the first-class fire, so the alarm level is changed as described above.
In step S300, a person to be notified is determined based on the alarm level and the experience of fire fighting treatment of the corresponding person, and a fire treatment plan is constructed and transmitted to the corresponding person based on the condition of fire fighting equipment at the corresponding site.
The step of determining the person to be notified includes step SA10, step SAB0, and step SAA0, where step SAB0 and step SAA0 are parallel operation steps, see fig. 3.
In step SA10, the fire fighting experience of the person at the location where the alarm level exists is searched and determined from a preset database in which the fire fighting experiences of the persons at different locations and the mobile phone numbers of the corresponding persons are stored, the fire fighting experience of the person is divided into three levels, and the fire fighting experience level is inexperienced, skilled level and expert level in sequence from low to high.
The judgment criteria of fire fighting experience mentioned here, for example, inexperienced is that fire fighting equipment has never been operated, skilled level is that fire fighting equipment can be applied skillfully and operated practically, and expert level is that fire fighting equipment can be applied flexibly, for example, fire fighting personnel is expert level.
In step SAB0, if the alarm level at the location is the secondary alarm level, the location of the corresponding person is determined based on the mobile phone number analysis of the corresponding person, and compared with the location of the preset location, the person with the highest experience level that can be notified at the preset location is selected as the notified person.
The positions of the corresponding persons are determined through the mobile phone number analysis based on the corresponding persons, the positions of the corresponding persons can be inquired and obtained through the mobile phone tracker, and the positions of the corresponding users can be tracked and determined after the mobile phone numbers of the corresponding users are input into the mobile phone tracker.
If the alarm level at the site is the first-level alarm level in the step SAA0, determining a person which is at a preset site and can be notified with the highest experience level as a notified person as a field responsible person at the site; and meanwhile, the fire fighting team responsible personnel responsible for the corresponding building are searched as off-site notification personnel from a preset database in which the buildings and the mobile phone numbers of the fire fighting team responsible personnel responsible for the corresponding buildings are stored.
Considering that it is difficult to determine that the person with the highest experience can be notified certainly at the time of notification, the determination steps for the above-mentioned person with the highest experience level at the preset site and that can be notified are as follows: sequentially carrying out timed information confirmation receiving prompts on personnel at preset positions from high experience level to low experience level; if the personnel do not determine to receive within the timing time, the notified object carries out flow switching from high experience level to low experience level until the circulating personnel determine to receive within the timing time, and the receiving personnel are determined to be the personnel which are at the preset position and can notify the highest experience level.
In addition, determining the persons to be notified based on the alarm level and the experience of fire fighting of the corresponding person further includes notifying the corresponding person within a first preset time according to a preset condition by the processing center of the database when the first alarm is present at the site and no person is present at the site. Specifically, the first preset time interval includes a first preset sub-time unit and a second preset sub-time unit. After a fire disaster occurs, the database takes the site as a center, and sends information to the personnel at the highest level of the fire alarm in the minimum same radius range of the site, if no response exists in the first preset sub-time unit, the system sends a waiting response instruction to the next-level personnel at the same radius or in the radius, and converts the personnel at the next-level response instruction into temporary emergency response personnel, and if the personnel at the highest level do not respond in the second sub-time unit, the temporary emergency response personnel are directly converted into the notified personnel and the field responsible personnel at the site, so that the corresponding personnel can be notified to handle the fire disaster at the fastest speed, the personnel notification time is saved, the fire disaster caused by delay time is avoided, the property loss is reduced, and the personnel casualties are reduced.
The acquisition step for the status of the fire fighting equipment at the corresponding site in step S300 includes steps SB10 to SB30, refer to fig. 4.
In step SB10, the detection device for detecting the fire fighting equipment at the corresponding site is activated, and the fire fighting equipment is detected accordingly to obtain the detection data.
The above mentioned detection device is related to sensor devices capable of detecting the state of the fire fighting equipment, such as a temperature sensor, a voltage sensor, a current sensor, a pressure sensor, etc., for example, the dry powder fire extinguisher should be subjected to appearance inspection once every month, the pressure gauge of the fire extinguisher is mainly inspected, and when the pointer of the pressure gauge is lower than a green line area, the fire extinguisher should be immediately pressurized for maintenance, so that the pressure condition of the fire extinguisher needs to be confirmed again before the dry powder fire extinguisher is used, and the pressure sensor arranged on the dry powder fire extinguisher can be started to perform detection judgment again before the fire extinguisher is used.
In step SB20, comparison is performed based on the detection data and the preset normal use range data, and if the comparison is consistent, it is determined that the fire fighting equipment is usable, otherwise, it is determined that the fire fighting equipment is unusable.
In step SB30, the available fire fighting equipment is queried from a preset database in which the available frequency of the available fire fighting equipment and the corresponding available frequency of the fire fighting equipment are stored, and if the remaining available frequency of the available fire fighting equipment is less than a first preset value (here, the first preset value is 2 times), it is determined that the corresponding available fire fighting equipment belongs to an unavailable fire fighting equipment.
The arrangement is designed to take the durability of the fire fighting equipment into consideration, and on one hand, avoiding using the fire fighting equipment close to the durability can avoid the time waste of the user due to the unavailability of the fire fighting equipment in the actual fire fighting process, and especially avoid the accidents in the temporary accidents.
In addition, the informed fire handling scheme is different according to different informed people.
If the corresponding persons notified by the fire handling scenario are respectively the on-site responsible persons at the site, the construction scenario of the corresponding fire handling scenario includes steps SC10 to SC30, refer to fig. 5.
In step SC10, a fire handling scheme meeting the corresponding fire protection condition is searched from a preset database in which the personnel to be notified, the existing fire protection equipment, and the fire handling scheme under the corresponding fire protection condition are stored, and the fire handling scheme is divided into a plurality of processing steps.
The fire treatment scheme is mainly based on the condition of fire, for example, if the fire is small, namely the fire stone is small in initial stage, a fire extinguisher can be found nearby to put out the fire; if the fire is large, the fire is treated in many ways, for example, people can close doors and windows near the fire scene to prevent the fire from spreading, close electric brakes near the fire scene immediately, guide people near the fire scene to cover the mouth and nose with wet towels and evacuate from a safety passage quickly, and tell evacuation people not to use an elevator to escape to prevent power failure from being trapped, before the fire fighter arrives at the fire scene, the alarm should take corresponding measures to extinguish fire by using the fire-fighting facility schedule near the fire scene, when a charged object is on fire, the power supply should be cut off immediately, before the power supply is cut off, water is forbidden to extinguish fire to prevent electric shock accidents
In step SC20, the processing time of each step is searched from a preset database in which the processing steps and the time consumption of the corresponding processing step are stored.
In step SC30, the fire handling scheme is divided into steps and a handling time stamp is made for each step.
The processing time stamp made for each step in step SC30 is displayed in a reddish manner to better attract the attention of a person.
The steps of the fire management scenario informing the on-site responsible person at the site include the following: sending a complete fire processing scheme to a field responsible person; and (4) according to the sequence of the steps and the processing time of the corresponding steps, independently sending the processing scheme of the next step to the mobile phone of the on-site responsible person one by one and carrying out voice prompt.
The voice prompt mentioned in the above steps can be realized by a voice prompt, where the mode of sending the complete fire processing scheme to the on-site responsible person can be a mode of sending voice or short messages simultaneously, and if a short message sending mode is adopted, the mode is preferably a short message prompt.
If the corresponding persons notified by the fire handling scheme are respectively the fire-fighting team leader, the construction scheme of the corresponding fire handling scheme includes steps SD10 to SD30, referring to fig. 6.
In step SD10, the predicted time taken for the fire-fighting team to take responsibility from the reaction to the site is predicted.
Step SD10 can be divided into steps SD11 to SD12, see fig. 7.
In step SD11, the shortest path from the fire-fighting team to the site is planned with the location of the fire-fighting team and/or the location of the fire occurrence site.
The shortest path from the fire fighting team to the position point is planned mainly through a route planner, all paths can be planned based on the departure place and the destination, and then the shortest path can be obtained by selecting the shortest path.
In step SD12, the length corresponding to the shortest path and the preset running speed of the fire fighting truck are used for analyzing the time consumed by the fire fighting team on the road, and the sum of the length corresponding to the shortest path and the preset running speed of the fire fighting truck is used as the estimated time consumed by the fire fighting team from the reaction to the field; wherein the reaction nucleation time of the fire-fighting team is the average value of the reaction nucleation times close to the current three times.
The average value close to the current previous three-time reaction aggregate time can be found out by calling a database storing the historical reaction aggregate time of the fire fighting team, the current previous three-time reaction aggregate time is added and summed, and the sum is divided by three times, so that the average value close to the current previous three-time reaction aggregate time can be obtained and used as the advance prediction of the reaction aggregate time of the fire fighting team, and the fire fighting team can be predicted better to the scene.
In step SD20, based on the current fire situation data and the estimated time spent by the fire fighting team from the response to the scene, the fire situation data satisfying the current fire situation data and the estimated time spent by the fire fighting team from the response to the scene, which is the time spent by the fire fighting team from the response to the scene, are searched from the preset correspondence relationship between the fire situation data and the time change.
In step SD30, from the preset fire condition data range, the location of the fire condition, and the fire condition processing scheme under the corresponding fire condition, the fire condition data range to which the fire condition data belongs and the fire condition processing scheme at the location of the fire condition are found when the fire-fighting team arrives at the site.
An embodiment of the present invention provides a computer-readable storage medium including a program which can be loaded and executed by a processor to implement each step involved in the flow of fig. 1-7.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (9)
1. A fire-fighting early warning method based on the Internet of things is characterized by comprising the following steps:
acquiring fire condition information of each site of each floor of a building, wherein the fire condition information comprises temperature, visibility, smoke, harmful gas concentration values and building stability values of the site;
determining an alarm level corresponding to the fire condition information based on the acquired fire condition information and the conditions of whether personnel are in corresponding positions, wherein the alarm level is divided into a first-level alarm level and a second-level alarm level, the first-level alarm level needs professional fire-fighting personnel to participate, and the second-level alarm level can be solved only by residents through fire-fighting equipment;
determining the personnel needing to be notified based on the alarm level and the fire fighting treatment experience condition of the corresponding personnel, and meanwhile, constructing a fire handling scheme and sending the fire handling scheme to the corresponding personnel based on the fire fighting equipment condition at the corresponding position;
the method comprises the following steps of determining the person to be informed:
searching and determining the fire fighting experience of the personnel at the position with the alarm level from a preset database in which the fire fighting experience of the personnel at different positions and the mobile phone numbers of the corresponding personnel are stored, wherein the fire fighting experience of the personnel is divided into three levels, and the fire fighting experience levels are inexperienced, skilled and expert levels in sequence from low to high;
if the alarm level at the position is the second-level alarm level, analyzing and determining the position of the corresponding person based on the mobile phone number of the corresponding person, comparing the position with the position of the preset position, and selecting the person which is at the preset position and can be notified and has the highest experience level as the person needing to be notified;
if the alarm level at the position is a first-level alarm level, determining the personnel which are positioned at the preset position and can be informed and have the highest experience level as the personnel needing to be informed and the field responsible personnel at the position;
and meanwhile, the fire fighting team responsible personnel responsible for the corresponding building are searched as off-site notification personnel from a preset database in which the buildings and the mobile phone numbers of the fire fighting team responsible personnel responsible for the corresponding buildings are stored.
2. A fire-fighting pre-warning method based on the internet of things as claimed in claim 1, wherein the step of confirming the alarm level is as follows:
finding out a fire condition data range of the fire condition at the current position from a preset database in which the fire condition data range and the alarm level corresponding to the corresponding fire condition data range are stored, and determining the alarm level;
and inquiring whether personnel exist at the corresponding position point aiming at the position point determined as the secondary alarm level, and if no personnel exist at the corresponding position point, judging that the alarm level corresponding to the fire condition of the corresponding position point is the primary alarm level.
3. A fire-fighting early warning method based on the internet of things as claimed in claim 1, wherein the determination of the person with the highest experience level that can be notified at the preset location is as follows:
sequentially carrying out timed information confirmation receiving prompts on personnel at preset positions from high experience level to low experience level;
and if the personnel do not determine to receive within the timing time, the notified object performs flow switching from high experience level to low experience level until the circulating personnel determine to receive within the timing time, and the receiving personnel is determined as the personnel which is at the preset position and can notify with the highest experience level.
4. A fire-fighting early warning method based on the internet of things as claimed in claim 3, wherein the acquiring steps of the conditions of the fire-fighting equipment at the corresponding sites are as follows:
starting a detection device used for detecting the fire fighting equipment at a corresponding position, and performing corresponding detection on the fire fighting equipment to obtain detection data;
comparing the detection data with preset normal use range data, if the comparison is consistent, judging that the fire fighting equipment is usable, otherwise, judging that the fire fighting equipment is unusable;
and inquiring the available fire fighting equipment from a preset database in which the fire fighting equipment and the available residual use frequency of the corresponding fire fighting equipment are stored, and if the inquired available fire fighting equipment is less than a first preset value, judging that the corresponding available fire fighting equipment belongs to the unavailable fire fighting equipment.
5. A fire-fighting early warning method based on the internet of things as claimed in claim 4, wherein the corresponding persons notified by the fire handling scheme are respectively a site responsible person and a fire team responsible person at the site, and if the corresponding persons notified by the fire handling scheme are respectively the site responsible person at the site, the construction scheme of the corresponding fire handling scheme is as follows:
searching a fire condition processing scheme meeting corresponding fire-fighting conditions from a preset database in which personnel needing to be informed, existing fire-fighting equipment and the fire condition processing scheme under the corresponding fire-fighting conditions are stored, wherein the fire condition processing scheme is divided into a plurality of processing steps;
searching the processing time of each step from a preset database which stores the processing steps and the time consumption of the corresponding processing steps;
the fire processing scheme is divided into steps, and processing time labels are made for each step.
6. A fire early warning method based on internet of things as claimed in claim 5, wherein the step of informing a site responsible person at a site of the fire handling scheme comprises:
sending a complete fire processing scheme to a field responsible person;
and (4) according to the sequence of the steps and the processing time of the corresponding steps, independently sending the processing scheme of the next step to the mobile phone of the on-site responsible person one by one and carrying out voice prompt.
7. A fire-fighting early warning method based on the internet of things as claimed in claim 6, wherein if the corresponding persons notified by the fire handling scheme are respectively fire-fighting team responsible persons, the construction scheme of the corresponding fire handling scheme is as follows:
predicting the predicted time consumption of a fire fighting team in charge of reacting to the site;
based on the current fire situation data and the estimated time consumed by the fire fighting team from the reaction to the site, searching the current fire situation data and the fire situation data when the fire fighting team arrives at the site under the condition that the fire fighting team is responsible for the estimated time consumed from the reaction to the site from the preset corresponding relation of the change of the fire situation data along with the time;
and finding out the fire condition data range to which the fire condition data belongs and the fire condition processing scheme of the position of the fire condition when a fire-fighting team arrives at the site from the preset fire condition data range, the site of the fire condition and the fire condition processing scheme under the corresponding fire condition.
8. A fire-fighting pre-warning method based on the internet of things as claimed in claim 7, wherein the calculation step of predicting the predicted time consumption of the fire-fighting team in charge of reacting to the scene is as follows:
planning a shortest path from the fire-fighting team to the position according to the position of the fire-fighting team and/or the position of the fire occurrence position;
analyzing the consumed time of a fire fighting team on the road by the length corresponding to the shortest path and the preset running speed of the fire fighting truck, adding the reaction aggregation time of the fire fighting team, and taking the sum of the length corresponding to the shortest path and the preset running speed of the fire fighting truck as the estimated consumed time from the reaction to the field of the fire fighting time;
wherein, the reaction staging time of the fire fighting team is the average value of the reaction staging times of the first three times close to the current time.
9. A computer-readable storage medium, comprising a program which is loadable by a processor and which when executed implements the internet of things-based fire warning method as claimed in any one of claims 1 to 8.
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| CN114999099B (en) * | 2022-07-18 | 2022-12-30 | 中国地质大学（武汉） | Big data based collaborative early warning method, device, equipment and storage medium |
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| CN109830092A (en) * | 2017-12-30 | 2019-05-31 | 湖南汇博电子科技股份有限公司 | Fire-fighting and rescue dispatching method, device and readable storage medium storing program for executing |
| CN109785570A (en) * | 2017-12-31 | 2019-05-21 | 湖南汇博电子科技股份有限公司 | A kind of fire-fighting and rescue method, apparatus, system and readable storage medium storing program for executing |
| CN109166266A (en) * | 2018-10-18 | 2019-01-08 | 杨新胜 | Intelligent fire alarm system and method |
| CN110047240B (en) * | 2019-03-07 | 2020-10-16 | 吉林建筑大学 | Intelligent fire-fighting warning guidance system and method based on Internet of things |
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