CN111460983B - Intelligent fire fighting method and system based on target tracking - Google Patents
Intelligent fire fighting method and system based on target tracking Download PDFInfo
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Abstract
The embodiment of the application provides an intelligent fire fighting method and system based on target tracking. The method comprises the following steps: the target tracking equipment identifies the position of the fire point through an image identification technology, and projects fire source detection equipment to the position of the fire point; the fire source detection equipment determines the type and degree of fire at the fire point through a sensor; the fire type, the fire degree and the fire scene environment characteristics of each moment, which are acquired by the target tracking equipment, are used as the input of a time series analysis algorithm, and the fire development trend is obtained through prediction; determining a projection position parameter of the fire blocking robot according to the fire development trend; the target tracking equipment projects the corresponding fire blocking robot to the appointed position in the fire scene at the appointed time according to the fire scene control strategy, and the fire blocking robot releases the flame retardant substance after reaching the appointed position. This application is through the precision and the efficiency that have improved building fire control.
Description
Technical Field
The application relates to the field of target tracking, in particular to an intelligent fire fighting method and system based on target tracking.
Background
In the existing fire fighting emergency process, the fire condition judgment and fire source extinguishing are still widely carried out by adopting manpower, which brings many problems, on one hand, a fireman is difficult to judge the fire cause in a short time, and directly enters a fire scene for fire extinguishing operation on the premise of not defining the fire cause, thereby causing great threat to the personal safety of the fireman and having low fire extinguishing efficiency; on the other hand, due to the limitation of human body, the firemen often only can pay attention to the fire scene situation before the eyes, but hardly pay attention to the fire behind the body or other fire points which are not easy to pay attention to, so that the fire extinguishing accuracy and efficiency are not high, and the personal safety of the firemen is possibly threatened.
With the increasingly perfect target tracking technology, tracking of targets on fire scene sites becomes possible. Therefore, the personal safety of firemen can be considered in the fire fighting process through the target tracking technology, and the fire extinguishing accuracy and efficiency are improved.
Disclosure of Invention
In view of this, the present application aims to provide an intelligent fire fighting method and system based on target tracking, which improve building fire fighting efficiency, and solve the technical problems that the fire point cannot be accurately tracked, the fire cause cannot be analyzed, and the personal safety of fire fighters cannot be guaranteed in the existing building fire fighting process.
Based on the above purpose, the application provides an intelligent fire fighting method based on target tracking, which comprises the following steps:
the method comprises the steps that a plurality of target tracking devices are arranged in a building, the target tracking devices identify the positions of fire points through an image recognition technology, and fire source detection devices are projected to the positions of the fire points;
the fire source detection equipment determines the type and degree of fire of the fire point through a sensor and returns to the target tracking equipment; the fire source detection equipment comprises physical detection equipment and chemical detection equipment;
composing the fire type, the fire degree and the fire scene environment characteristics of each moment collected by the target tracking equipment into a triple < C, L, E > as the input of a time series analysis algorithm, and predicting to obtain the fire development trend; the fire development trend comprises a fire expansion direction and a fire expansion degree at a specified time; the fire scene environmental characteristics comprise fire scene temperature, humidity and combustible material placing positions; determining projection position parameters (P, M) of the fire blocking robot according to the fire development trend, wherein P is the projection position and angle of the fire blocking robot, and M is a flame retardant substance component M carried by the fire blocking robot;
and the target tracking equipment projects a corresponding fire blocking robot to a specified position in the fire scene at a specified time according to the fire scene control strategy, and the fire blocking robot releases a flame retardant substance after reaching the specified position.
In some embodiments, the method further comprises:
under the condition that the fire spread exceeds the tracking range of a first target tracking device, the first target tracking device sends fire spread information to a second target tracking device in the fire spread direction;
and the second target tracking equipment predicts the development trend of the fire according to the fire spread information and generates the fire scene control strategy.
In some embodiments, the method further comprises:
the target tracking equipment continuously tracks the fire blocking effect of the fire blocking robot and adjusts the fire scene control strategy according to the fire blocking effect.
In some embodiments, a plurality of target tracking devices are provided in a building, the target tracking devices identifying a location of a fire via image recognition techniques and projecting a fire source detection device toward the location of the fire, comprising:
each of the plurality of target tracking devices identifies a fire in a building and captures a plurality of images for each of the fire;
and the target tracking devices calibrate and complement the image of each ignition point to obtain the position of each ignition point.
In some embodiments, the fire source detection device determines the type and degree of fire at the fire point via sensors and returns the fire type and degree to the target tracking device, including:
the physical detection equipment determines the fire type and the fire degree of the fire point through a temperature sensor and a pressure sensor;
and the chemical detection equipment samples a plurality of sample data of the ignition point to carry out chemical reaction, and determines the ignition type and the fire intensity of the ignition point.
In some embodiments, the target tracking device projects a corresponding fire blocking robot to a specified location in a fire scene at a specified time according to the fire scene control strategy, and the fire blocking robot releases a fire retardant substance after reaching the specified location, including:
after the fire robot reaches the designated position, acquiring the flame-retardant effect after releasing the flame-retardant substance, and returning the flame-retardant effect to the target tracking equipment;
and the target tracking equipment judges the number and the type of the fire robots needing to be put in the appointed positions according to the flame retardant effect.
Based on above-mentioned purpose, this application has still provided an intelligent fire extinguishing system based on target tracking, includes:
the system comprises a positioning module, a fire source detection module and a fire source detection module, wherein the positioning module is used for arranging a plurality of target tracking devices in a building, and the target tracking devices identify the positions of fire points through an image identification technology and project fire source detection devices to the positions of the fire points;
the detection module is used for determining the fire type and the fire degree of the fire point through a sensor by the fire source detection equipment and returning the fire type and the fire degree to the target tracking equipment; the fire source detection equipment comprises physical detection equipment and chemical detection equipment;
a prediction module for performing the method of: composing the triple < C, L, E > of the fire type, the fire degree and the fire scene environment characteristics of each moment collected by the target tracking equipment as the input of a time series analysis algorithm, and predicting to obtain the fire development trend; the fire development trend comprises a fire expansion direction and a fire expansion degree at a specified time; the fire scene environmental characteristics comprise fire scene temperature, humidity and combustible material placing positions; determining projection position parameters (P, M) of the fire blocking robot according to the fire development trend, wherein P is the projection position and angle of the fire blocking robot, and M is a flame retardant component M carried by the fire blocking robot;
and the blocking module is used for projecting the corresponding fire blocking robot to a specified position in the fire scene at a specified time by the target tracking equipment according to the fire scene control strategy, and releasing the flame-retardant substance after the fire blocking robot reaches the specified position.
In some embodiments, the system further comprises:
the transmission module is used for transmitting fire spread information to second target tracking equipment in a fire spread direction by the first target tracking equipment under the condition that the fire spread exceeds the tracking range of the first target tracking equipment;
and the continuing module is used for predicting the fire development trend of the second target tracking equipment according to the fire spread information and generating the fire scene control strategy.
In some embodiments, the system further comprises:
and the adjusting module is used for continuously tracking the fire blocking effect of the fire blocking robot by the target tracking equipment and adjusting the fire scene control strategy according to the fire blocking effect.
In some embodiments, the detection module comprises:
the physical detection unit is used for determining the fire type and the fire degree of the fire point through a temperature sensor and a pressure sensor by the physical detection equipment;
and the chemical detection unit is used for carrying out chemical reaction by sampling a plurality of sample data of the ignition point by the chemical detection equipment, and determining the ignition type and the fire intensity of the ignition point.
In summary, the idea of the present application is to set a plurality of target tracking devices in a building, where the target devices identify a fire point position through an image recognition technology and project a fire source detection device to the fire point position; the fire source detection equipment determines the fire type and the fire intensity of the fire position through a sensor and returns to the target tracking equipment; the fire source detection equipment comprises physical detection equipment and chemical detection equipment; the target tracking equipment predicts the development trend of the fire according to the origin type and the fire size and generates a fire scene control strategy according to the development trend of the fire; and the target tracking equipment projects a corresponding fire blocking robot to a specified position in the fire scene at a specified time according to the fire scene stock pursuit strategy, and the fire blocking robot releases a flame retardant substance after reaching the specified position.
The fire scene control strategy can track the development condition of a fire source, analyze the reasons of a fire point, automatically analyze and provide the fire scene control strategy, particularly, can identify the fire scene condition of a visual blind area of a fireman, effectively improve the fire extinguishing efficiency and protect the personal safety of the fireman.
Drawings
In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
Fig. 1 shows a flowchart of an intelligent fire fighting method based on target tracking according to an embodiment of the invention.
Fig. 2 shows a flowchart of an intelligent fire fighting method based on target tracking according to an embodiment of the invention.
Fig. 3 shows a flowchart of an intelligent fire fighting method based on target tracking according to an embodiment of the invention.
Fig. 4 shows a block diagram of an intelligent fire fighting system based on target tracking according to an embodiment of the present invention.
Fig. 5 shows a block diagram of an intelligent fire fighting system based on target tracking according to an embodiment of the present invention.
Fig. 6 illustrates a constitutional view of an intelligent fire fighting system based on target tracking according to an embodiment of the present invention.
Fig. 7 shows a configuration diagram of a probe module according to an embodiment of the present invention.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows a flowchart of an intelligent fire fighting method based on target tracking according to an embodiment of the invention. As shown in fig. 1, the intelligent fire fighting method based on target tracking includes:
s11, arranging a plurality of target tracking devices in the building, wherein the target tracking devices identify the position of a fire point through an image identification technology and project fire source detection devices to the position of the fire point.
In particular, a plurality of target tracking devices may be provided in a building, so that the location of the fire is more accurate. For example, since each target tracking device has a limited tracking angle and tracking range, monitoring and tracking the fire in a building by a plurality of target tracking devices will be more accurate.
In one embodiment, a plurality of target tracking devices are provided in a building, the target tracking devices identifying a location of a fire through image recognition techniques and projecting a fire source detection device toward the location of the fire, comprising:
each of the plurality of target tracking devices identifies a fire in a building and captures a plurality of images for each of the fire;
and the target tracking devices calibrate and complement the image of each ignition point to obtain the position of each ignition point.
S12, the fire source detection equipment determines the fire type and the fire degree of the fire point through a sensor and returns to the target tracking equipment; the fire source detection device comprises a physical detection device and a chemical detection device.
In one embodiment, the fire source detection device determines the type and degree of fire at the fire point via sensors and returns the type and degree of fire to the target tracking device, including:
the physical detection equipment determines the fire type and the fire degree of the fire point through a temperature sensor and a pressure sensor;
and the chemical detection equipment samples a plurality of sample data of the ignition point to carry out chemical reaction, and determines the ignition type and the fire intensity of the ignition point.
Specifically, the physical detection device can physically detect a plurality of positions near the ignition point through the antenna, thereby determining ignition type and fire degree parameters such as combustible type, combustion temperature and the like; similarly, the chemical detection device can sample combustibles at a plurality of positions near the ignition point to judge the ignition type and the fire intensity of the ignition point.
S13, forming a triple < C, L, E > by using the fire type, the fire degree and the fire scene environment characteristics of each moment collected by the target tracking equipment as the input of a time series analysis algorithm, and predicting to obtain the fire development trend; the fire development trend comprises a fire expansion direction and a fire expansion degree at a specified time; the fire scene environmental characteristics comprise fire scene temperature, humidity and combustible material placing positions; and determining the projection position parameters (P, M) of the fire blocking robot according to the fire development trend, wherein P is the projection position and angle of the fire blocking robot, and M is a flame retardant substance component M carried by the fire blocking robot.
By introducing the time series analysis algorithm, the trend of fire development can be more accurately predicted, so that the fire condition is controlled. The fire blocking robot can carry out fire extinguishing operation more flexibly, and can avoid personal injury caused by fire fighters entering a fire scene.
And S14, the target tracking equipment projects a corresponding fire blocking robot to a specified position in the fire scene at a specified time according to the fire scene control strategy, and the fire blocking robot releases a flame retardant substance after reaching the specified position.
Specifically, the flame retardant substance may include flame retardant sand, flame retardant gas, water, and the like.
In one embodiment, the target tracking device projects a corresponding fire blocking robot to a designated location in a fire at a designated time according to the fire scene control strategy, and the fire blocking robot releases a fire retardant after reaching the designated location, including:
after the fire robot reaches the designated position, acquiring the flame-retardant effect after the flame-retardant substance is released, and returning the flame-retardant effect to the target tracking equipment;
and the target tracking equipment judges the number and the type of the fire robots needing to be put in the appointed positions according to the flame retardant effect.
Particularly, the target tracking equipment can adjust the number and the type of the fire robots in real time according to the control situation of the on-site fire, so that the control efficiency of the fire is improved.
Fig. 2 shows a flowchart of an intelligent fire fighting method based on target tracking according to an embodiment of the present invention. As shown in fig. 2, the intelligent fire fighting method based on target tracking further includes:
and S15, under the condition that the fire spread exceeds the tracking range of the first target tracking equipment, the first target tracking equipment sends fire spread information to second target tracking equipment in the fire spread direction.
And S16, the second target tracking equipment predicts the fire development trend according to the fire spread information and generates the fire scene control strategy.
Specifically, the spread of fire is sometimes rapid and may deviate from the tracking range of one target tracking device, and therefore, it is necessary to perform a fire fighting work together by cooperation between a plurality of target tracking devices. It is noted that, in addition to the fire data, the instruction data transmitted between the target tracking devices may be predicted fire extinguishing strategies that are made by the current target tracking devices according to the expansion of the current fire.
Fig. 3 shows a flowchart of an intelligent fire fighting method based on target tracking according to an embodiment of the present invention. As shown in fig. 3, the intelligent fire fighting method based on target tracking further includes:
and S17, continuously tracking the fire blocking effect of the fire blocking robot by the target tracking equipment, and adjusting the fire scene control strategy according to the fire blocking effect.
Specifically, the target tracking device can continuously receive the fire extinguishing effect of the fire scene returned by the blocking robot, and adjust the control strategy in real time to optimize the fire extinguishing effect.
Fig. 4 shows a block diagram of an intelligent fire fighting system based on target tracking according to an embodiment of the present invention. As shown in fig. 4, the intelligent fire fighting system based on target tracking includes:
a positioning module 41, configured to set multiple target tracking devices in a building, where the target tracking devices identify the position of a fire point through an image recognition technology, and project a fire source detection device to the position of the fire point;
the detection module 42 is used for determining the type and degree of fire of the fire point through a sensor by the fire source detection equipment and returning the fire point to the target tracking equipment; the fire source detection equipment comprises physical detection equipment and chemical detection equipment;
a prediction module 43 for performing the following method: composing the triple < C, L, E > of the fire type, the fire degree and the fire scene environment characteristics of each moment collected by the target tracking equipment as the input of a time series analysis algorithm, and predicting to obtain the fire development trend; the fire development trend comprises a fire expansion direction and a fire expansion degree at a specified time; the fire scene environmental characteristics comprise fire scene temperature, humidity and combustible material placing positions; determining projection position parameters (P, M) of the fire blocking robot according to the fire development trend, wherein P is the projection position and angle of the fire blocking robot, and M is a flame retardant substance component M carried by the fire blocking robot;
and the blocking module 44 is configured to project, by the target tracking device, a corresponding fire blocking robot to a specified position in the fire scene at a specified time according to the fire scene control strategy, where the fire blocking robot releases the flame retardant substance after reaching the specified position.
Fig. 5 shows a block diagram of an intelligent fire fighting system based on target tracking according to an embodiment of the present invention. As shown in fig. 5, the intelligent fire fighting system based on target tracking further includes:
the transmission module 45 is configured to, when the fire spreading exceeds a tracking range of the first target tracking device, send fire spreading information to a second target tracking device in a fire spreading direction by the first target tracking device;
and a continuing module 46, configured to predict a fire development trend of the second target tracking device according to the fire spread information, and generate the fire scene control policy.
Fig. 6 illustrates a constitutional view of an intelligent fire fighting system based on target tracking according to an embodiment of the present invention. As shown in fig. 6, the intelligent fire fighting system based on target tracking further includes:
and the adjusting module 47 is used for continuously tracking the fire blocking effect of the fire blocking robot by the target tracking equipment and adjusting the fire scene control strategy according to the fire blocking effect.
Fig. 7 shows a configuration diagram of a probe module according to an embodiment of the present invention. As shown in fig. 6, the detection module 42 includes:
a physical detection unit 421, configured to determine, by the physical detection device through a temperature sensor and a pressure sensor, a type of fire and a degree of fire at the fire point;
and the chemical detection unit 422 is used for carrying out chemical reaction by sampling a plurality of sample data of the ignition point by the chemical detection equipment to determine the ignition type and the fire intensity of the ignition point.
The functions of the modules in the systems in the embodiments of the present application may refer to the corresponding descriptions in the above methods, and are not described herein again.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried out in the method of implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present invention, and these should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. An intelligent fire fighting method based on target tracking is characterized by comprising the following steps:
the method for setting a plurality of target tracking devices in a building, wherein the target tracking devices identify the positions of fire points through an image recognition technology and project fire source detection devices to the positions of the fire points comprises the following steps: each of the plurality of target tracking devices identifies a fire in a building and captures a plurality of images for each of the fire; the target tracking devices calibrate and complement the images of each ignition point to obtain the position of each ignition point;
the fire source detection equipment determines the type and degree of fire of the fire point through a sensor and returns to the target tracking equipment; the fire source detection equipment comprises physical detection equipment and chemical detection equipment;
composing the fire type, the fire degree and the fire scene environment characteristics of each moment collected by the target tracking equipment into a triple < C, L, E > as the input of a time series analysis algorithm, and predicting to obtain the fire development trend; the fire development trend comprises a fire expansion direction and a fire expansion degree at a specified time; the fire scene environmental characteristics comprise fire scene temperature, humidity and combustible material placing positions; determining projection position parameters (P, M) of the fire blocking robot according to the fire development trend, wherein P is the projection position and angle of the fire blocking robot, and M is a flame retardant substance component M carried by the fire blocking robot;
the target tracking equipment projects a corresponding fire blocking robot to a specified position in a fire scene at a specified time according to a fire scene control strategy, and the fire blocking robot releases flame retardant substances after reaching the specified position, and the method comprises the following steps: after the fire robot reaches the designated position, acquiring the flame-retardant effect after the flame-retardant substance is released, and returning the flame-retardant effect to the target tracking equipment; the target tracking equipment judges the number and the type of the fire robots needing to be put in the specified position according to the flame retardant effect;
under the condition that the fire spread exceeds the tracking range of a first target tracking device, the first target tracking device sends fire spread information to a second target tracking device in the fire spread direction;
and the second target tracking equipment predicts the development trend of the fire according to the fire spread information and generates the fire scene control strategy.
2. The method of claim 1, further comprising:
the target tracking equipment continuously tracks the fire blocking effect of the fire blocking robot and adjusts the fire scene control strategy according to the fire blocking effect.
3. The method of claim 1, wherein the fire source detection device determines the type and extent of fire at the fire point via sensors and returns to the target tracking device, including:
the physical detection equipment determines the fire type and the fire degree of the fire point through a temperature sensor and a pressure sensor;
and the chemical detection equipment samples a plurality of sample data of the ignition point to carry out chemical reaction, and determines the ignition type and the fire intensity of the ignition point.
4. The utility model provides an wisdom fire control platform based on target tracking which characterized in that includes:
a positioning module for setting a plurality of target tracking devices in a building, the target tracking devices identifying the location of a fire point by image recognition technology and projecting a fire source detection device to the location of the fire point, comprising: each of the plurality of target tracking devices identifies a fire in a building and captures a plurality of images for each of the fire; the target tracking devices calibrate and complement the images of each ignition point to obtain the position of each ignition point;
the detection module is used for determining the fire type and the fire degree of the fire point through a sensor by the fire source detection equipment and returning the fire type and the fire degree to the target tracking equipment; the fire source detection equipment comprises physical detection equipment and chemical detection equipment;
a prediction module for performing the method of: composing the fire type, the fire degree and the fire scene environment characteristics of each moment collected by the target tracking equipment into a triple < C, L, E > as the input of a time series analysis algorithm, and predicting to obtain the fire development trend; the fire development trend comprises a fire expansion direction and a fire expansion degree at a specified time; the fire scene environmental characteristics comprise fire scene temperature, humidity and combustible material placing positions; determining projection position parameters (P, M) of the fire blocking robot according to the fire development trend, wherein P is the projection position and angle of the fire blocking robot, and M is a flame retardant component M carried by the fire blocking robot;
the blocking module is used for the target tracking equipment to project a corresponding fire blocking robot to a specified position in a fire scene at a specified time according to a fire scene control strategy, and the fire blocking robot releases flame retardant substances after reaching the specified position, and comprises: after the fire robot reaches the designated position, acquiring the flame-retardant effect after the flame-retardant substance is released, and returning the flame-retardant effect to the target tracking equipment; the target tracking equipment judges the number and the type of the fire robots needing to be put in the specified position according to the flame retardant effect;
the transmission module is used for transmitting fire spread information to second target tracking equipment in a fire spread direction by the first target tracking equipment under the condition that the fire spread exceeds the tracking range of the first target tracking equipment;
and the continuing module is used for predicting the fire development trend of the second target tracking equipment according to the fire spread information and generating the fire scene control strategy.
5. The platform of claim 4, further comprising:
and the adjusting module is used for continuously tracking the fire blocking effect of the fire blocking robot by the target tracking equipment and adjusting the fire scene control strategy according to the fire blocking effect.
6. The platform of claim 4, wherein the detection module comprises:
the physical detection unit is used for determining the ignition type and the fire intensity of the ignition point through a temperature sensor and a pressure sensor by the physical detection equipment;
and the chemical detection unit is used for carrying out chemical reaction by sampling a plurality of sample data of the ignition point by the chemical detection equipment, and determining the ignition type and the fire intensity of the ignition point.
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