CN110639155A - Fire prevention and control method, device, equipment, system and storage medium - Google Patents
Fire prevention and control method, device, equipment, system and storage medium Download PDFInfo
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- CN110639155A CN110639155A CN201910954576.4A CN201910954576A CN110639155A CN 110639155 A CN110639155 A CN 110639155A CN 201910954576 A CN201910954576 A CN 201910954576A CN 110639155 A CN110639155 A CN 110639155A
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Abstract
The application discloses a fire prevention and control method, a fire prevention and control device, fire prevention and control equipment, fire prevention and control system and fire prevention and control medium, wherein the fire prevention and control method comprises the steps of obtaining object layout data of a target area and obtaining thermal induction data by carrying out thermal induction data acquisition on a target object in the target area; carry out artificial intelligence condition of a fire discernment to target object according to thermoinduction data and object layout data, carry out the condition of a fire discernment according to thermoinduction data and can realize effectively detecting at the initial stage of firing, effectively promote the ageing of fire detection, in addition, through artificial intelligence study discernment ignition point, can accurately realize the condition of a fire discernment, it is clear and definite the ignition point, realize accurate condition of a fire prevention and control, also can avoid the false retrieval of living fire to handle the influence that the false triggering brought to people's production life to the fire prevention and control at to a great extent simultaneously, in addition, whole realization process need not artifical the access, can not divide day all-weather automatic realization fire prevention and control, can in time discover the condition of a fire in time to handle, effectively guarantee life property safety.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a fire prevention and control method, apparatus, device, system, and readable storage medium.
Background
Many indoor fires are people absent or people cannot find the fires in time, and the fires are changed from small fires to big fires, so that the property and life safety of people are seriously threatened. At present, fire disasters are generally prevented and controlled by a fire extinguishing device comprising a smoke detector and a water sprayer, the fire extinguishing device comprising the smoke detector and the water sprayer only plays a role when smoke is large enough, the fire is usually large at the moment, the fire is not easy to control and can cause great loss, and in addition, the device is easy to trigger by mistake when the smoke is large to a certain amount (such as smoke generated by smoking and the like), so that unnecessary property loss is caused.
In view of this, how to realize timely and effective control of fire and avoid the unexpected fire from bringing great threat to the property and life safety of people is a major concern for technicians in the field at present.
Disclosure of Invention
In view of the above, an object of the present application is to provide a fire prevention and control method, device, apparatus, system and readable storage medium, which are used to realize timely and effective control of fire and avoid the problem that an unexpected fire poses a great threat to the life safety of people's property. The specific scheme is as follows:
in a first aspect, the present application discloses a fire prevention and control method, comprising:
acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area;
carrying out artificial intelligent fire recognition on the target object according to the thermal sensing data and the object layout data to obtain a fire recognition result;
and performing prevention and control treatment according to the fire condition recognition result.
Optionally, the acquiring object layout data of the target region includes:
acquiring image acquisition data of the target area;
carrying out target object identification on the target area according to the image acquisition data, and determining target object information in the image acquisition data;
and determining the position information of the target object according to the target object information to obtain object layout data.
Optionally, the fire prevention and control method further comprises:
matching and setting the acquisition angle of the thermal sensing equipment with the acquisition angle of the object layout data;
accordingly, the acquiring thermal sensing data specifically includes:
and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
Optionally, performing artificial intelligence fire recognition on the target object according to the thermal sensing data and the object layout data, including:
determining a temperature value of the target object according to the thermal sensing data and the object layout data;
matching a combustion range of the target object; wherein the combustion range is set according to the ignition point of the target object;
and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
Optionally, the fire prevention and control method further comprises:
matching a combustion risk range of the target object; wherein the combustion risk range is set according to the flammability range of the target object;
when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point;
correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
Optionally, the fire prevention and control method further comprises:
when the temperature value belongs to the combustion range, judging the fire and the domestic fire of the target object;
when it is determined that the combustion of the target object is a fire, it is determined that the target object is a fire point.
Optionally, performing fire prevention and control according to the fire recognition result, including:
and controlling the controllable mobile device carrying the fire extinguishing device to move to the target object to automatically extinguish the fire and sending alarm information.
In a second aspect, the present application discloses a fire prevention and control device, comprising:
a data acquisition unit for acquiring object layout data of a target region; acquiring thermal sensing data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area;
the intelligent fire recognition unit is used for carrying out artificial intelligent fire recognition on the target object according to the thermal induction data and the object layout data to obtain a fire recognition result;
and the fire prevention and control processing unit is used for performing prevention and control processing according to the fire recognition result.
The data acquisition unit specifically includes: a layout data acquisition subunit and a thermal sensing data acquisition subunit, wherein optionally the layout data acquisition subunit comprises:
the image data acquisition subunit is used for acquiring image acquisition data of the target area;
the object identification subunit is used for carrying out target object identification on the target area according to the image acquisition data and determining target object information in the image acquisition data;
and the position information determining subunit is used for determining the position information of the target object according to the target object information to obtain object layout data.
Optionally, the fire prevention and control device disclosed in the present application may further include: the angle setting subunit is used for matching and setting the acquisition angle of the thermal sensing equipment with the acquisition angle of the object layout data;
accordingly, the thermal sensing data acquisition subunit is specifically configured to: and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
Optionally, the intelligent fire recognition unit comprises:
a temperature value determining subunit, configured to determine a temperature value of the target object according to the thermal sensing data and the object layout data;
a combustion range matching subunit for matching the combustion range of the target object; wherein the combustion range is set according to the ignition point of the target object;
and the ignition determination subunit is used for determining that the target object is an ignition point when the temperature value belongs to the combustion range.
Optionally, the intelligent fire recognition unit may further include:
a risk range matching subunit, configured to match a combustion risk range of the target object; wherein the combustion risk range is set according to the flammability range of the target object;
a risk determination subunit, configured to determine that the target object is a combustion risk point when the temperature value belongs to the combustion risk range;
correspondingly, the fire prevention and control processing unit is specifically configured to: and carrying out fire early warning treatment according to the combustion risk point.
Optionally, the intelligent fire recognition unit may further include: the fire identification subunit is connected with the fire determination subunit and is used for judging fire and domestic fire of the target object when the temperature value belongs to the combustion range; when it is determined that the combustion of the target object is a fire, it is determined that the target object is a fire point.
Optionally, the fire prevention and control processing unit may be specifically configured to: and controlling the controllable mobile device carrying the fire extinguishing device to move to the target object to automatically extinguish the fire and sending alarm information.
In a third aspect, the present application discloses a fire prevention and control apparatus comprising:
a memory for storing a computer program;
a processor for implementing the following steps when executing the computer program:
acquiring object layout data of a target area; acquiring thermal sensing data obtained by acquiring thermal sensing data of a target object in the target area; carrying out artificial intelligent fire recognition on the target object according to the thermal sensing data and the object layout data to obtain a fire recognition result; and performing prevention and control treatment according to the fire condition recognition result.
Optionally, when the processor executes the computer subprogram stored in the memory, the following steps may be specifically implemented:
acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area;
and determining the position information of the target object according to the target object information to obtain object layout data.
Optionally, when the processor executes the computer subprogram stored in the memory, the following steps may be specifically implemented:
matching and setting the acquisition angle of the thermal sensing equipment with the acquisition angle of the object layout data;
accordingly, the acquiring thermal sensing data specifically includes:
and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
Optionally, when the processor executes the computer subprogram stored in the memory, the following steps may be specifically implemented:
determining a temperature value of the target object according to the thermal sensing data and the object layout data;
matching a combustion range of the target object; wherein the combustion range is set according to the ignition point of the target object;
and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
Optionally, when the processor executes the computer subprogram stored in the memory, the following steps may be specifically implemented:
matching a combustion risk range of the target object; wherein the combustion risk range is set according to the flammability range of the target object;
when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point;
correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
Optionally, when the processor executes the computer subprogram stored in the memory, the following steps may be specifically implemented:
when the temperature value belongs to the combustion range, judging the fire and the domestic fire of the target object;
when it is determined that the combustion of the target object is a fire, it is determined that the target object is a fire point.
Optionally, when the processor executes the computer subprogram stored in the memory, the following steps may be specifically implemented:
and controlling the controllable mobile device carrying the fire extinguishing device to move to the target object to automatically extinguish the fire and sending alarm information.
In a fourth aspect, the present application discloses a fire prevention and control system, comprising: the main controller is used for acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area; carrying out artificial intelligent fire recognition on the target object according to the thermal sensing data and the object layout data to obtain a fire recognition result; controlling fire prevention and control equipment to perform prevention and control processing according to the fire recognition result;
the thermal sensing equipment is used for acquiring thermal sensing data of a target object in the target area to obtain the thermal sensing data;
and the fire prevention and control equipment is used for carrying out fire prevention and control processing according to the calling of the main controller.
Optionally, the thermal sensing device is specifically: provided is an infrared high-definition thermal imager.
Optionally, the fire prevention and control system further comprises: the camera is arranged in the target area and used for acquiring an image of the target area to obtain image acquisition data;
the camera with main control unit is connected, then correspondingly, main control unit still is used for: acquiring the image acquisition data; carrying out target object identification on the target area according to the image acquisition data, and determining target object information in the image acquisition data; and determining the position information of the target object according to the target object information to obtain object layout data.
Optionally, the fire prevention and control device specifically includes: a controllable moving device carrying a fire extinguishing device.
In a fifth aspect, the present application discloses a computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area;
carrying out artificial intelligent fire recognition on the target object according to the thermal sensing data and the object layout data to obtain a fire recognition result;
and performing prevention and control treatment according to the fire condition recognition result.
Optionally, when executed by a processor, the computer subprogram stored in the computer-readable storage medium may specifically implement the following steps:
acquiring image acquisition data of the target area;
carrying out target object identification on the target area according to the image acquisition data, and determining target object information in the image acquisition data;
and determining the position information of the target object according to the target object information to obtain object layout data.
Optionally, when executed by a processor, the computer subprogram stored in the computer-readable storage medium may specifically implement the following steps:
matching and setting the acquisition angle of the thermal sensing equipment with the acquisition angle of the object layout data;
accordingly, the acquiring thermal sensing data specifically includes:
and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
Optionally, when executed by a processor, the computer subprogram stored in the computer-readable storage medium may specifically implement the following steps:
determining a temperature value of the target object according to the thermal sensing data and the object layout data;
matching a combustion range of the target object; wherein the combustion range is set according to the ignition point of the target object;
and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
Optionally, when executed by a processor, the computer subprogram stored in the computer-readable storage medium may specifically implement the following steps:
matching a combustion risk range of the target object; wherein the combustion risk range is set according to the flammability range of the target object;
when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point;
correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
Optionally, when executed by a processor, the computer subprogram stored in the computer-readable storage medium may specifically implement the following steps:
when the temperature value belongs to the combustion range, judging the fire and the domestic fire of the target object;
when it is determined that the combustion of the target object is a fire, it is determined that the target object is a fire point.
Optionally, when executed by a processor, the computer subprogram stored in the computer-readable storage medium may specifically implement the following steps:
and controlling the controllable mobile device carrying the fire extinguishing device to move to the target object to automatically extinguish the fire and sending alarm information.
According to the method, the object layout data of the target area and the thermal sensing data obtained by acquiring the thermal sensing data of the target object in the target area are obtained; carry out artificial intelligence condition of a fire discernment to target object according to thermoinduction data and object layout data, carry out the condition of a fire discernment according to thermoinduction data and can realize effectively detecting at the initial stage of lighting a fire, can effectively promote the ageing of fire detection, in addition, through artificial intelligence study discernment ignition point, can accurately realize the condition of a fire discernment, make clear to the ignition point, can realize accurate condition of a fire prevention and control, also can avoid the false retrieval of living fire to handle the influence that the false triggering brought to people's production life to the fire prevention and control at to a great extent simultaneously, in addition, whole realization process need not artifical the access, can not divide day-and-night automatic realization fire prevention and control, can in time discover the condition of a fire in time to handle, effectively guarantee property life safety.
Drawings
In order to more clearly illustrate the embodiments of the present application 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.
FIG. 1 is a flow chart of an embodiment of a fire prevention and control method disclosed in the present application;
FIG. 2 is a flow chart of an embodiment of artificial intelligence fire identification disclosed herein;
FIG. 3 is a flow diagram of another embodiment of artificial intelligence fire identification disclosed herein;
fig. 4 is a block diagram illustrating a fire prevention and control apparatus according to the present disclosure;
fig. 5 is a block diagram illustrating a structure of a fire prevention and control apparatus according to the present disclosure;
fig. 6 is a schematic structural view of a fire prevention and control apparatus disclosed in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. 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 application.
The embodiment of the application discloses a fire prevention and control method, which mainly comprises the following steps of, referring to fig. 1:
step S110: acquiring object layout data of a target area;
the target area refers to an area to be fire-protected, and the area may be located indoors or outdoors, which is not limited in this embodiment.
The object layout data refers to spatial layout information of each target object in a target area, for example, a candle and the like are arranged at coordinates (15, 20, 3), the corresponding object type at a certain position can be determined according to the data, the position information of the certain object in the target space and the like can also be determined, so that the object and the object position corresponding to certain heat source data can be determined in the subsequent steps, no matter how the target object layout in the coordinate system changes, the system can automatically sense the position of the target object, and therefore fire identification can be further realized according to the heat source information, the object type and other related information.
In this embodiment, the manner of acquiring the object layout data is not limited, the pre-calibrated spatial object layout data may be directly imported, and a camera capable of achieving image acquisition may be invoked to perform spatial image acquisition and then perform coordinate accurate mapping according to the acquired image data.
To deepen understanding of the embodiment, a manner of acquiring object layout data is described as an example, and the process of acquiring the object layout data of the target area may specifically include the following steps:
1. acquiring image acquisition data of a target area;
the image acquisition camera can be arranged to realize real-time image acquisition of the target area, and the image acquisition data of the target area can also be directly imported after being acquired in advance.
2. Carrying out target object identification on the target area according to the image acquisition data, and determining target object information in the image acquisition data;
3. and determining the position information of the target object according to the target object information to obtain object layout data.
The implementation manner of determining the position information includes, for example, setting a coordinate origin in the image capture data, and determining a relative position of the target object with respect to the coordinate origin through a ranging algorithm (e.g., a triangulation ranging algorithm), so as to generate the position information of the target object.
The object layout information acquisition mode can quickly and accurately determine the positioning information, meanwhile, the called equipment is simple, and only a common camera is needed to be called for image acquisition, so that the overall realization cost can be reduced.
Step S120: acquiring thermal sensing data;
the thermal sensing data is obtained by acquiring thermal sensing data of a target object in a target area, and the thermal sensing data refers to heat source sensing data of the object and can embody the temperature characteristics of the object. According to the heat induction data, effective fire detection can be realized in the initial stage of fire, the timeliness of fire detection can be effectively improved, accurate combustion judgment can be realized in the combustion stage, and the accuracy of fire detection can be improved.
The thermal data can be acquired through the infrared high-definition thermal imager, and of course, other devices with the thermal data acquisition function can be called.
The target object refers to an object in the target area, and may be a designated object to be monitored, or may be all objects in the target area, which is not limited in this embodiment.
The execution order of steps S110 and S120 is not limited, and the object layout data may be acquired first, the thermal sensing data may be acquired first, or the thermal sensing data may be executed simultaneously.
In addition, after the object layout data are obtained in the two steps and the thermal sensing view of the target object is determined, the object type corresponding to each part of the thermal sensing data needs to be determined by contrasting the object layout data, so that artificial intelligent fire recognition is carried out by contrasting the thermal sensing data and the object layout data, and the fire recognition precision is improved. The process may be implemented by comparing the position information in the thermal data with the position information in the object layout data to determine the object type corresponding to the thermal data, for example, if the average temperature of a certain region in the thermal data exceeds 100 degrees celsius, determining the object type corresponding to the region to determine whether a fire exists by combining the related data such as the object type and the thermal data, wherein, to simplify the step of comparing the position information of the thermal data with the object layout data, the collection angle setting of the thermal sensing device may be optionally matched with the collection angle setting of the object layout data.
The data acquisition angle of the thermal sensing equipment is matched with the acquisition angle of the object layout data, so that the object corresponding to the position under the object layout data can be directly determined according to the position information of the thermal sensing data, the conversion of the coordinate position is not needed when the thermal sensing data is matched with the object layout data, and the implementation steps are simplified. For example, when the thermal sensing device is an infrared high-definition thermal imager and the object layout data is acquired by the camera, the shooting angle of the infrared high-definition thermal imager is set to be the same as the shooting angle of the camera. Correspondingly, the process of acquiring the thermal data of the target object in the target area specifically includes: and calling a thermal sensing device to acquire thermal sensing data of the target object in the target area.
Step S130: carrying out artificial intelligent fire recognition on a target object according to the thermal induction data and the object layout data to obtain a fire recognition result;
the fire point is learned and identified through Artificial Intelligence (AI), fire identification can be accurately realized, the fire point is clearly determined, accurate fire prevention and control can be realized, and meanwhile, the influence on production and life of people caused by false triggering of fire prevention and control treatment by false detection of live fire can be avoided to a great extent.
Specifically, the process of performing artificial intelligence fire recognition on the target object according to the thermal sensing data and the object layout data may specifically be: the temperature of each position of the target area is determined according to the thermal sensing data, the object type of each position of the target area is determined according to the object layout data, the temperature data of each object of the target area can be determined by combining the thermal sensing data and the object layout data, and training of an artificial intelligent recognition algorithm is performed in advance according to sample data (such as infrared sensing views) of various states (such as normal states, flammable states, combustion states, fire catching states and the like) of various types of objects (such as living fire objects, combustible objects and the like), so that the artificial intelligent recognition algorithm has a fire condition recognition capability, and can distinguish whether the objects are flammable or not, whether the objects are burning, whether the objects are living fires (such as smoking, lighting, open fire cooking and the like), whether the objects are fires or not, and the current fire burning state (such as whether the objects can be extinguished.
In actual conflagration prevention and control, the artificial intelligence fire recognition algorithm of direct call pre-training carries out the fire recognition, can obtain the fire recognition result, and the fire recognition result is relevant with the object state mark in the training process, does not restrict specific state mark in this embodiment, can carry out the state according to the object type and divide, for example divide into the recognition state of living fire article: the identification state of combustible materials is divided into the following states, namely, a flameout state, a normal fire using state, a state of easily burning nearby materials and the like: normal state, flammability risk state, combustion state, etc.; of course, it is also possible to uniformly set a uniform status for all the articles, for example, uniformly divide the identification result into: normal, life fire, danger, fire. The above division is described in this embodiment, and other result division manners can refer to the description of this embodiment, which is not described herein again.
Step S140: and performing prevention and control processing according to the fire recognition result.
The fire identification result corresponds to different prevention and control processing means according to different fire prevention and control requirements, and the prevention and control processing means under different identification results can be set according to actual fire prevention deployment and control requirements; when the combustion risk state is identified, namely a potential fire point exists, alarm information can be immediately sent to an owner, a property owner and the like; when discernment is the state of firing a fire, can control the unmanned aerial vehicle who carries extinguishing device and fly to the point of firing a fire and put out the fire, send alarm information to fire control, owner, property etc. simultaneously. The above description is directed to several prevention and control processing means, and the present embodiment is described only by taking the above processing means as an example, and other prevention and control processing means based on the present embodiment are all included in the protection scope of the present embodiment.
Optionally, in order to guarantee the user's security of lives and property when on fire or when easily on fire, realize putting out a fire in time fast, a fire prevention and control means includes: and controlling the controllable mobile device carrying the fire extinguishing device to move to a target object to automatically extinguish the fire and sending alarm information. This mode is through automatic fire extinguishing, has saved user, property or fire control to the response processing time who catches fire, guarantees the ageing of fire hazard treatment, sends alarm information simultaneously and can effectively remind user, property or fire control in time to carry out the benefit back, or the processing of catching fire.
The fire prevention and control method provided by the embodiment can realize effective detection in the initial stage of firing according to the thermal induction data, can effectively improve the timeliness of fire detection, in addition, the firing point is learned and identified through Artificial Intelligence (AI), the fire identification can be accurately realized, the firing point is clear, accurate fire prevention and control can be realized, meanwhile, the influence of false detection of domestic fire on fire prevention and control processing false triggering on production life of people can be avoided to a great extent, in addition, the whole realization process does not need manual access, all-weather automatic fire prevention and control can be realized without division, the fire can be timely found and timely processed, and the property life safety is effectively guaranteed.
In the foregoing embodiment, a specific implementation process of performing artificial intelligence fire recognition on a target object according to thermal sensing data and object layout data in step S130 is not limited, and this embodiment describes an implementation manner, where the process mainly includes:
step S131: determining a temperature value of the target object according to the thermal sensing data and the object layout data;
step S132: matching a combustion range of the target object;
the combustion range is set according to the ignition point of a target object, for example, the ignition points of common articles in life are all above 100 ℃, the temperature of the object to be combusted firstly can reach the ignition point, the combustion range of the common articles in life can be set to reach 100 ℃, and if the temperature of a certain point is more than 100 ℃, the combustion point can be considered.
Step S133: and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
The method has the advantages that the burning points of different objects are different, the corresponding burning ranges are set for the objects, whether the objects are in the burning ranges or not is judged in real time through monitoring the real-time temperature of the objects, and accurate monitoring on whether the objects are burnt or not can be achieved.
When the temperature value does not belong to the combustion range, it may be determined that the target object is not on fire, and in this embodiment, the processing manner under this condition is not limited, optionally, each object has a corresponding flammable range, and combustion of the object is easily triggered in the flammable range, which further causes a fire, and in order to realize monitoring of a potential fire point, a fire may be effectively prevented in advance in time, and on the basis of the above steps, the following steps may be further performed:
step S134: matching a combustion risk range of the target object; wherein, the combustion risk range is set according to the inflammable range of the target object;
step S135: when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point; correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
For example, paper A placed on a desktop is in a combustion risk range from 90 ℃ to 100 ℃, if the current paper A is judged to be in 93 ℃ according to thermal induction data and object layout data, the current paper A can be judged to be a combustion risk point, and in order to avoid the paper A from igniting to influence the life and property safety of a user, alarm information is sent to the user and property so that the user and the property can timely check dangerous and flammable points, and fire hazards are reduced.
It should be noted that step S134 may be executed after step S133, may be executed synchronously with step S132, or may be executed before step S132, in this embodiment, the execution order of the determination of the combustion risk point and the determination of the combustion point is not limited, and fig. 2 is a schematic diagram of one implementation flow, which may be set according to actual use requirements.
If the temperature value does not belong to the combustion risk range or the combustion range, the non-risk point and the ignition point of the target object may be determined, and the monitoring is continued as shown in step S136.
In addition, in the process of identifying the artificial intelligence fire, when it is determined that the temperature value of the target object belongs to the combustion range, that is, the target object is being combusted, since the object combustion may be combustion of a living fire or accidental fire, in order to avoid misjudgment of the normal living fire and influence the normal life of the user, it can be determined through artificial intelligence that the current object combustion is a true fire or a false fire, the specific implementation steps are as follows, and fig. 3 is a schematic flow chart:
step S136: when the temperature value belongs to the combustion range, judging fire and domestic fire of the target object;
step S137: when it is determined that the combustion of the target object is a fire, the target object is determined to be a fire point.
When it is determined that the combustion of the target object is not a fire, the continuous monitoring may be performed as shown in step S138 in fig. 3, or other processing may be performed as needed, which is not limited in this embodiment.
The method specifically comprises the steps of distinguishing true and false fires according to object types and thermal induction data, distinguishing whether the fire is a true fire or a false fire (such as smoking, candle lighting, open fire cooking and the like) through artificial intelligence, and calling a fire recognition model to recognize the fire according to heat source data and object type data; the fire recognition model can be obtained by training according to the sample heat source data, the heat source object information and the fire calibration data, and certainly, the imported sample data is based on the sample data in the target area, so that the model training effect can be further enhanced, and the high-precision fire recognition effect is ensured.
This mode is through learning intelligent identification risk point and the point of lighting a fire, has avoided the condition of false triggering (stove, the smoking or lighter of cooking in the kitchen lights a lamp, the point candle etc.), also can guarantee the timely discovery and the processing of true conflagration simultaneously, can guarantee the timely processing of true conflagration when avoiding normally living the user.
In the following, the fire prevention and control device provided by the embodiment of the present application is introduced, and the fire prevention and control device described below and the fire prevention and control method described above may be referred to correspondingly.
Fig. 4 is a block diagram of a fire prevention and control device according to an embodiment of the present invention, and referring to fig. 4, the fire prevention and control device may include:
the data acquisition unit 310 is mainly used for acquiring object layout data of a target area; acquiring thermal sensing data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in a target area;
the intelligent fire recognition unit 320 is mainly used for performing artificial intelligent fire recognition on a target object according to the thermal induction data and the object layout data to obtain a fire recognition result;
the fire prevention and control processing unit 330 is mainly used for performing prevention and control processing according to a fire recognition result.
The data obtaining unit 310 specifically includes: a layout data acquisition subunit and a thermal sensing data acquisition subunit, in some specific embodiments, the layout data acquisition subunit includes:
the image data acquisition subunit is used for acquiring image acquisition data of the target area;
the object identification subunit is used for identifying a target object in the target area according to the image acquisition data and determining target object information in the image acquisition data;
and the position information determining subunit is used for determining the position information of the target object according to the target object information to obtain object layout data.
In some specific embodiments, the fire prevention and control device may further include: the angle setting subunit is used for matching the acquisition angle setting of the thermal sensing equipment with the acquisition angle of the object layout data;
accordingly, the thermal sensing data acquisition subunit is specifically configured to: and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
In some specific embodiments, the intelligent fire recognition unit includes:
a temperature value determining subunit configured to determine a temperature value of the target object based on the thermal sensing data and the object layout data;
a combustion range matching subunit for matching the combustion range of the target object; wherein, the combustion range is set according to the burning point of the target object;
and the ignition judging subunit is used for judging that the target object is an ignition point when the temperature value belongs to the combustion range.
In some specific embodiments, the intelligent fire recognition unit may further include:
the risk range matching subunit is used for matching the combustion risk range of the target object; wherein, the combustion risk range is set according to the inflammable range of the target object;
the risk judgment subunit is used for judging that the target object is a combustion risk point when the temperature value belongs to the combustion risk range;
correspondingly, the fire prevention and control processing unit is specifically configured to: and carrying out fire early warning treatment according to the combustion risk point.
In some specific embodiments, the intelligent fire recognition unit may further include: the fire identification subunit is connected with the fire determination subunit and is used for identifying the fire and the domestic fire of the target object when the temperature value belongs to the combustion range; when it is determined that the combustion of the target object is a fire, the target object is determined to be a fire point.
In some specific embodiments, the fire prevention and control processing unit may be specifically configured to: and controlling the controllable mobile device carrying the fire extinguishing device to move to a target object to automatically extinguish the fire and sending alarm information.
The fire prevention and control device disclosed by the embodiment can realize timely and effective control on fire, and avoids the problem that unexpected fire brings great threat to the property and life safety of people.
Further, the embodiment of the present application also discloses a fire prevention and control device, which, as shown in fig. 5, includes a memory 11 and a processor 12, wherein the processor 12 implements the following steps when executing the computer program stored in the memory 11: acquiring object layout data of a target area; acquiring thermal sensing data obtained by acquiring thermal sensing data of a target object in a target area; carrying out artificial intelligent fire recognition on a target object according to the thermal induction data and the object layout data to obtain a fire recognition result; and performing prevention and control processing according to the fire recognition result.
In this embodiment, when the processor 12 executes the computer subprogram stored in the memory 11, the following steps may be specifically implemented: acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in a target area; and determining the position information of the target object according to the target object information to obtain object layout data.
In this embodiment, when the processor 12 executes the computer subprogram stored in the memory 11, the following steps may be specifically implemented: matching the acquisition angle setting of the thermal sensing equipment with the acquisition angle of the object layout data; accordingly, thermal sensing data is acquired, specifically: and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
In this embodiment, when the processor 12 executes the computer subprogram stored in the memory 11, the following steps may be specifically implemented: determining a temperature value of the target object according to the thermal sensing data and the object layout data; matching a combustion range of the target object; wherein, the combustion range is set according to the burning point of the target object; and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
In this embodiment, when the processor 12 executes the computer subprogram stored in the memory 11, the following steps may be specifically implemented: matching a combustion risk range of the target object; wherein, the combustion risk range is set according to the inflammable range of the target object; when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point; correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
In this embodiment, when the processor 12 executes the computer subprogram stored in the memory 11, the following steps may be specifically implemented: when the temperature value belongs to the combustion range, judging fire and domestic fire of the target object; when it is determined that the combustion of the target object is a fire, the target object is determined to be a fire point.
In this embodiment, when the processor 12 executes the computer subprogram stored in the memory 11, the following steps may be specifically implemented: and controlling the controllable mobile device carrying the fire extinguishing device to move to a target object to automatically extinguish the fire and sending alarm information.
Referring to fig. 6, a schematic structural diagram of a fire prevention and control device provided in this embodiment is shown, where the fire prevention and control device may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 322 (e.g., one or more processors) and a memory 332, and one or more storage media 330 (e.g., one or more mass storage devices) storing an application 342 or data 344. Memory 332 and storage media 330 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 330 may include one or more modules (not shown), each of which may include a series of instructions operating on a data processing device. Still further, the central processor 322 may be configured to communicate with the storage medium 330, and execute a series of instruction operations in the storage medium 330 on the prevention and control device 301.
The prevention device 301 may also include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input-output interfaces 358, and/or one or more operating systems 341, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and the like.
The steps in the fire prevention and control method described above may be implemented by the structure of the fire prevention and control apparatus.
The fire prevention and control equipment provided by the embodiment can realize timely and effective control of fire, and avoid the problem that unexpected fire brings great threat to property and life safety of people.
Further, the embodiment of the present application also discloses a fire prevention and control system, including: the device comprises a main controller, a heat sensing device and a fire prevention and control device.
The main controller is mainly used for acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in a target area; carrying out artificial intelligent fire recognition on a target object according to the thermal induction data and the object layout data to obtain a fire recognition result; controlling fire prevention and control equipment to perform prevention and control treatment according to the fire recognition result; it should be noted that, for the related description of the main controller disclosed in this embodiment, reference may be made to the related description of the fire prevention and control device in the above embodiments, and details are not described herein again.
The thermal sensing equipment is mainly used for acquiring thermal sensing data of a target object in a target area to obtain the thermal sensing data;
the fire prevention and control equipment is mainly used for carrying out fire prevention and control processing according to the calling of the main controller.
In this embodiment, the thermal sensing device may specifically be: provided is an infrared high-definition thermal imager.
In this embodiment, the fire prevention and control system may further include: the camera is arranged in the target area and used for acquiring an image of the target area to obtain image acquisition data;
the camera is connected with main control unit, then correspondingly, main control unit still is used for: acquiring image acquisition data; carrying out target object identification on the target area according to the image acquisition data, and determining target object information in the image acquisition data; and determining the position information of the target object according to the target object information to obtain object layout data.
In this embodiment, the fire prevention and control device may specifically be: a controllable moving device carrying a fire extinguishing device.
In order to deepen understanding of the fire prevention and control system provided in this embodiment, a deployment and an implementation process of an indoor fire prevention and control system are described as an example.
The general cameras, the infrared high-definition thermal imagers, and the controllable mobile devices (such as unmanned aerial vehicles and controllable ground mobile devices) carrying the fire extinguishing devices are deployed indoors.
The common camera is used for collecting indoor images, and the infrared high-definition thermal imager generates indoor infrared thermal sensing views through an infrared induction heat source.
The camera and the infrared high-definition thermal imager are connected to the main controller, and the main controller carries out coordinate accurate image building according to image data collected by the camera. The specific process is as follows: in a given space, a coordinate origin is set, so that coordinate distribution in the space can be obtained, the position of the camera can be determined, and then a target object in a target area is positioned by calibrating and combining a ranging algorithm (such as a triangular ranging algorithm). The purpose of coordinate accurate mapping is to determine that the system can automatically sense the position of the target object no matter how the layout of the target object in the coordinate system changes.
The main control unit passes through the indoor heat source distribution of infrared high definition thermal imaging system real-time supervision, through Artificial Intelligence (AI) study discernment ignition, distinguishes the condition of a fire, if the monitoring and fix a position latent ignition, send the warning immediately (to fire control, owner, property etc.), if monitor the ignition, control immediately and carry extinguishing device unmanned aerial vehicle and fly to the ignition and put out the fire, send simultaneously and report to the police (to fire control, owner, property etc.).
The above is an implementation example of implementing fire prevention and control based on the fire prevention and control system disclosed in this embodiment, and other implementation manners based on this embodiment can be used as the protection scope of this application, and are not described herein again.
Further, an embodiment of the present application also discloses a computer readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the following steps: acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in a target area; carrying out artificial intelligent fire recognition on a target object according to the thermal induction data and the object layout data to obtain a fire recognition result; and performing prevention and control processing according to the fire recognition result.
In some specific embodiments, the computer subprogram stored in the computer readable storage medium, when executed by the processor, may implement the following steps: acquiring image acquisition data of a target area; carrying out target object identification on the target area according to the image acquisition data, and determining target object information in the image acquisition data; and determining the position information of the target object according to the target object information to obtain object layout data.
In some specific embodiments, the computer subprogram stored in the computer readable storage medium, when executed by the processor, may implement the following steps: matching the acquisition angle setting of the thermal sensing equipment with the acquisition angle of the object layout data; accordingly, thermal sensing data is acquired, specifically: and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
In some specific embodiments, the computer subprogram stored in the computer readable storage medium, when executed by the processor, may implement the following steps: determining a temperature value of the target object according to the thermal sensing data and the object layout data; matching a combustion range of the target object; wherein, the combustion range is set according to the burning point of the target object; and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
In some specific embodiments, the computer subprogram stored in the computer readable storage medium, when executed by the processor, may implement the following steps: matching a combustion risk range of the target object; wherein, the combustion risk range is set according to the inflammable range of the target object; when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point; correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
In some specific embodiments, the computer subprogram stored in the computer readable storage medium, when executed by the processor, may implement the following steps: when the temperature value belongs to the combustion range, judging fire and domestic fire of the target object; when it is determined that the combustion of the target object is a fire, the target object is determined to be a fire point.
In some specific embodiments, the computer subprogram stored in the computer readable storage medium, when executed by the processor, may implement the following steps: and controlling the controllable mobile device carrying the fire extinguishing device to move to a target object to automatically extinguish the fire and sending alarm information.
The readable storage medium disclosed by the embodiment can realize timely and effective control on the fire, and avoid the problem that the accidental fire brings great threat to the property and life safety of people.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The fire prevention and control method, device, equipment, system and readable storage medium provided by the present application are introduced in detail, and a specific example is applied to illustrate the principle and implementation manner of the present application, and the description of the above embodiment is only used to help understand the method and core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A fire prevention and control method, comprising:
acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area;
carrying out artificial intelligent fire recognition on the target object according to the thermal sensing data and the object layout data to obtain a fire recognition result;
and performing prevention and control treatment according to the fire condition recognition result.
2. The fire prevention and control method according to claim 1, further comprising:
matching and setting the acquisition angle of the thermal sensing equipment with the acquisition angle of the object layout data;
accordingly, the acquiring thermal sensing data specifically includes:
and acquiring thermal sensing data generated by acquiring thermal sensing data of a target object in the target area by the thermal sensing equipment.
3. The fire prevention and control method according to claim 1, wherein performing artificial intelligence fire recognition on the target object based on the thermal sensing data and the object layout data comprises:
determining a temperature value of the target object according to the thermal sensing data and the object layout data;
matching a combustion range of the target object; wherein the combustion range is set according to the ignition point of the target object;
and when the temperature value belongs to the combustion range, determining that the target object is a fire point.
4. The fire prevention and control method according to claim 3, further comprising:
matching a combustion risk range of the target object; wherein the combustion risk range is set according to the flammability range of the target object;
when the temperature value belongs to the combustion risk range, determining that the target object is a combustion risk point;
correspondingly, the prevention and control processing is carried out according to the fire recognition result, and the method comprises the following steps: and carrying out fire early warning treatment according to the combustion risk point.
5. The fire prevention and control method according to claim 3, further comprising:
when the temperature value belongs to the combustion range, judging the fire and the domestic fire of the target object;
when it is determined that the combustion of the target object is a fire, it is determined that the target object is a fire point.
6. The fire prevention and control method according to claim 1, wherein performing fire prevention and control based on the fire recognition result includes:
and controlling the controllable mobile device carrying the fire extinguishing device to move to the target object to automatically extinguish the fire and sending alarm information.
7. A fire prevention and control device, comprising:
a data acquisition unit for acquiring object layout data of a target region; acquiring thermal sensing data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area;
the intelligent fire recognition unit is used for carrying out artificial intelligent fire recognition on the target object according to the thermal induction data and the object layout data to obtain a fire recognition result;
and the fire prevention and control processing unit is used for performing prevention and control processing according to the fire recognition result.
8. A fire prevention and control device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the fire prevention and control method according to any one of claims 1 to 6 when executing the computer program.
9. The utility model provides a full-automatic fire prevention and control system which characterized in that includes:
the main controller is used for acquiring object layout data of a target area and acquiring thermal induction data; the thermal sensing data is obtained by acquiring thermal sensing data of a target object in the target area; carrying out artificial intelligent fire recognition on the target object according to the thermal sensing data and the object layout data to obtain a fire recognition result; controlling fire prevention and control equipment to perform prevention and control processing according to the fire recognition result;
the thermal sensing equipment is used for acquiring thermal sensing data of a target object in the target area to obtain the thermal sensing data;
and the fire prevention and control equipment is used for carrying out fire prevention and control processing according to the calling of the main controller.
10. A computer-readable storage medium, having a computer program stored thereon, which, when being executed by a processor, carries out the steps of the fire prevention and control method according to any one of claims 1 to 6.
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