CN113033367A - Monitoring method and device based on fire-fighting site and electronic equipment - Google Patents
Monitoring method and device based on fire-fighting site and electronic equipment Download PDFInfo
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Abstract
The application provides a monitoring method, a monitoring device and electronic equipment based on a fire fighting site, relates to the technical field of intelligent fire fighting technology, and comprises the following steps: the method comprises the steps of obtaining real-time images of a fire fighting channel collected by an image collecting device, carrying out image recognition on the real-time images by utilizing a trained neural network to obtain an image recognition result, judging whether the fire fighting channel is blocked or not according to the image recognition result, and sending a blocking prompt signal to fire fighting monitoring equipment if the fire fighting channel is blocked, so that the technical problem of low fire fighting treatment efficiency is solved.
Description
Technical Field
The application relates to the technical field of intelligent fire fighting, in particular to a monitoring method and device based on a fire fighting site and electronic equipment.
Background
At present, a fire fighting system is a fire fighting wireless alarm network service system integrating modern high and new technologies, and can solve the problem of construction and coordinated development of public facilities such as telecommunications, buildings, power supply, transportation and the like.
However, the existing fire fighting passage in the fire fighting site is often blocked, which greatly affects the fire fighting process in the fire fighting site, and the actual real-time information of the fire fighting site is inconvenient to obtain, resulting in lower fire fighting processing efficiency.
Disclosure of Invention
The invention aims to provide a monitoring method and device based on a fire-fighting site and electronic equipment, so as to relieve the technical problem of low fire-fighting treatment efficiency.
In a first aspect, an embodiment of the present application provides a monitoring method based on a fire scene, which is applied to an electronic device, where the electronic device is connected to an image acquisition device, and the image acquisition device faces a fire passage of the fire scene; the method comprises the following steps:
acquiring a real-time image of the fire fighting channel acquired by the image acquisition device;
carrying out image recognition on the real-time image by using the trained neural network to obtain an image recognition result, and judging whether the fire fighting channel is blocked or not according to the image recognition result;
and if the blockage situation exists, sending a blockage prompt signal to the fire-fighting monitoring equipment.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the step of sending a congestion notification signal to the fire monitoring equipment includes:
and sending the jam prompt signal to a client and/or a master monitoring device through a wireless communication device.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the image acquisition device is an AI camera.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of performing image recognition on the real-time image by using a trained neural network to obtain an image recognition result includes:
and carrying out image analysis and image recognition on the real-time image by using the trained neural network through the AI camera to obtain an image recognition result.
In combination with the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the fire fighting access includes any one or more of:
corridor, road, any passageway leading to fire-fighting equipment.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the electronic device is further connected to a smoke detection device, and the smoke detection device is configured to detect a smoke situation of the fire-fighting site in real time;
the method further comprises the following steps:
when the smoke detection device detects smoke, generating a smoke prompt signal;
and sending the smoke prompt signal to a client and/or a general monitoring device through a wireless communication device.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the method further includes:
and sending a real-time monitoring signal to the client and/or the total monitoring equipment according to a preset timing time period.
In a second aspect, an embodiment of the present invention provides a monitoring device based on a fire-fighting site, which is applied to an electronic device, where the electronic device is connected to an image acquisition device, and the image acquisition device faces a fire-fighting passage of the fire-fighting site; the device comprises:
the acquisition module is used for acquiring the real-time image of the fire fighting channel acquired by the image acquisition device;
the recognition module is used for carrying out image recognition on the real-time image by using the trained neural network to obtain an image recognition result and judging whether the fire fighting channel is blocked or not according to the image recognition result;
and the sending module is used for sending a blockage prompt signal to the fire-fighting monitoring equipment if the blockage condition exists.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing machine executable instructions, which, when invoked and executed by a processor, cause the processor to perform the method of the first aspect.
The embodiment of the application brings the following beneficial effects: the embodiment of the application provides a monitoring method and device based on a fire-fighting site and an electronic device, and the monitoring method and device comprise the following steps: firstly, acquiring a real-time image of a fire fighting passage which is connected with an electronic device and is acquired by an image acquisition device facing the fire fighting passage of a fire fighting site, then, the trained neural network is used for carrying out image recognition on the real-time image to obtain an image recognition result, whether the fire fighting channel is blocked or not is judged according to the image recognition result, if the blockage situation exists, a blockage prompt signal is sent to the fire-fighting monitoring equipment, and in the scheme, the trained neural network is used for identifying the real-time image, so that whether the fire fighting channel is blocked or not can be accurately and efficiently judged, and when the blockage condition exists, a blockage prompt signal is sent to the fire-fighting monitoring equipment, so that the timeliness and the speed of fire-fighting treatment are improved, the convenience, the rapidness, the safety and the reliability of the fire-fighting treatment process are achieved, and the technical problem of lower fire-fighting treatment efficiency is solved.
Drawings
In order to more clearly illustrate the detailed description of the present application or the technical solutions in the prior art, the drawings needed to be used in the detailed description of the present application or the prior art description will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a monitoring method based on a fire fighting site according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a monitoring method based on a fire fighting site according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a monitoring device based on a fire fighting site according to an embodiment of the present application;
fig. 4 is a schematic structural diagram illustrating an electronic device provided in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all 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.
At present, an intelligent fire fighting system is an intelligent fire fighting wireless alarm network service system which integrates modern high and new technologies such as a global satellite positioning system, a geographic information system, a wireless mobile communication system, a computer, a network and the like. The method successfully solves the problem of the construction and coordinated development of public facilities such as telecommunication, building, power supply, transportation and the like; as the fire control command center is networked with the user units, the traditional, laggard and passive alarm receiving, receiving and dealing modes in the past are changed. However, the situation that the fire fighting passage in the fire fighting site is blocked often affects the fire fighting process in the fire fighting site, but the actual real-time information of the fire fighting site is inconvenient to obtain at present, so that the fire fighting processing efficiency is low.
Based on this, the embodiment of the application provides a monitoring method and device based on a fire-fighting site and an electronic device, and the technical problem of low fire-fighting treatment efficiency can be solved through the method.
The first embodiment is as follows:
fig. 1 is a schematic flow chart of a monitoring method based on a fire fighting site according to an embodiment of the present application. The method can be applied to an electronic device which is connected with an image acquisition device, wherein the image acquisition device faces a fire fighting access of the fire fighting site. As shown in fig. 1, the method includes:
and step S110, acquiring a real-time image of the fire fighting access acquired by the image acquisition device.
And S120, carrying out image recognition on the real-time image by using the trained neural network to obtain an image recognition result, and judging whether the fire fighting channel is blocked or not according to the image recognition result.
And step S130, if the blockage situation exists, sending a blockage prompt signal to the fire-fighting monitoring equipment.
The neural network who accomplishes through the training discerns real-time image, can accurate efficient judge the fire control passageway whether have the jam condition to send the jam prompt signal to fire control supervisory equipment when having the jam condition, realized the improvement of fire control processing timeliness and speed, reached the convenience of fire control processing process, swift, safe and reliable, alleviated the lower technical problem of fire control processing efficiency.
In some embodiments, the step of sending the blockage notification signal to the fire monitoring equipment in step S130 includes:
and a), sending the jam prompt signal to a client and/or a master monitoring device through a wireless communication device.
The wireless communication device sends the blockage prompt signal to the remote equipment, so that the remote fire-fighting system can be informed in time by utilizing wireless communication, and the effect of quickly informing the fire-fighting signal is ensured.
In some embodiments, the image acquisition device is an AI camera. Through being provided with AI camera collection and analysis image, can utilize the AI more accurate efficient to detect the position image, guarantee the timely discovery of jam condition.
In some embodiments, the step S120 of performing image recognition on the real-time image by using the trained neural network to obtain an image recognition result includes:
and c), carrying out image analysis and image recognition on the real-time image by using the trained neural network through the AI camera to obtain an image recognition result.
The trained neural network is used for analyzing the real-time image, so that an image recognition result can be obtained, and the high efficiency of obtaining real-time information of a fire-fighting site can be guaranteed.
In some embodiments, the fire passageway includes any one or more of: corridor, road, any passageway leading to fire-fighting equipment. The AI camera is arranged on the fire fighting channel, so that the condition of fire fighting channel blockage can be found in time, and the wireless communication can inform an official fire fighting system in time.
In the embodiment of the application, the real-time image of the fire fighting channel is firstly obtained, then the neural network is utilized to carry out image recognition on the real-time image, and finally whether the fire fighting channel is blocked is judged according to the image recognition result, so that the purposes of alarm automation, alarm receiving intellectualization, alarm handling precaution, management networking, service specialization and science and technology modernization are achieved, intermediate links are greatly reduced, the alarm speed is greatly improved, convenience, rapidness, safety and reliability are really achieved, and the safety of people, property and the safety of lives of policemen are protected to the maximum extent.
In some embodiments, the electronic device is further connected to a smoke detection device for detecting smoke conditions in a fire scene in real time, as shown in fig. 2, and the method further comprises:
and e), generating a smoke prompt signal when the smoke detection device detects smoke.
And f), sending the smoke prompt signal to the client and/or the master monitoring equipment through the wireless communication device.
Through smog monitoring devices with signal timing transmission when detecting smog and appearing, can realize need not to lay the circuit and can reach the effect that the fire control signal is notified fast, reduce the cost of a large amount of complicacies walking the line moreover.
In some embodiments, the method further comprises the steps of:
and g), sending a real-time monitoring signal to the client and/or the master monitoring equipment according to a preset time period.
The real-time monitoring signal is sent by presetting a timed time period, the alarm handling scheme can be achieved, and the timeliness of fire fighting treatment is guaranteed.
Example two:
fig. 3 is a schematic structural diagram of a monitoring device based on a fire fighting site according to an embodiment of the present application. The device can be applied to electronic equipment, and electronic equipment is connected with image acquisition device, and image acquisition device is towards the fire control passageway in fire control scene. As shown in fig. 3, the fire fighting site based monitoring apparatus 300 includes:
the acquisition module 301 is used for acquiring a real-time image of the fire fighting channel acquired by the image acquisition device;
the identification module 302 is configured to perform image identification on the real-time image by using the trained neural network to obtain an image identification result, and determine whether the fire fighting channel is blocked according to the image identification result;
a sending module 303, configured to send a congestion notification signal to the fire monitoring device if a congestion condition exists.
The monitoring device based on the fire-fighting site provided by the embodiment of the application has the same technical characteristics as the monitoring method based on the fire-fighting site provided by the embodiment, so that the same technical problems can be solved, and the same technical effect is achieved.
Example three:
as shown in fig. 4, an electronic device 400 provided in an embodiment of the present application includes a memory 401 and a processor 402, where the memory stores a computer program that can run on the processor, and the processor executes the computer program to implement the steps of the method provided in the foregoing embodiment.
Referring to fig. 4, the electronic device further includes: a bus 403 and a communication interface 404, the processor 402, the communication interface 404 and the memory 401 being connected by the bus 403; the processor 402 is used to execute executable modules, such as computer programs, stored in the memory 401.
The Memory 401 may include a high-speed Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 404 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
Bus 403 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The memory 401 is used for storing a program, and the processor 402 executes the program after receiving an execution instruction, and the method performed by the apparatus defined by the process disclosed in any of the foregoing embodiments of the present application may be applied to the processor 402, or implemented by the processor 402.
The processor 402 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 402. The Processor 402 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 401, and the processor 402 reads the information in the memory 401 and completes the steps of the method in combination with the hardware.
Example four:
corresponding to the monitoring method based on the fire fighting site, the embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer executable instructions, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to execute the steps of the monitoring method based on the fire fighting site.
The monitoring device based on the fire fighting site provided by the embodiment of the application can be specific hardware on equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
For another example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the monitoring method based on the fire scene according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A monitoring method based on a fire fighting site is characterized by being applied to electronic equipment, wherein the electronic equipment is connected with an image acquisition device, and the image acquisition device faces a fire fighting channel of the fire fighting site; the method comprises the following steps:
acquiring a real-time image of the fire fighting channel acquired by the image acquisition device;
carrying out image recognition on the real-time image by using the trained neural network to obtain an image recognition result, and judging whether the fire fighting channel is blocked or not according to the image recognition result;
and if the blockage situation exists, sending a blockage prompt signal to the fire-fighting monitoring equipment.
2. The fire scene-based monitoring method according to claim 1, wherein the step of sending the blockage notification signal to the fire monitoring equipment comprises:
and sending the jam prompt signal to a client and/or a master monitoring device through a wireless communication device.
3. The fire scene-based monitoring method according to claim 1, wherein the image acquisition device is an AI camera.
4. The fire scene-based monitoring method according to claim 3, wherein the step of performing image recognition on the real-time image by using the trained neural network to obtain an image recognition result comprises:
and carrying out image analysis and image recognition on the real-time image by using the trained neural network through the AI camera to obtain an image recognition result.
5. The fire scene-based monitoring method according to claim 1, wherein the fire fighting access includes any one or more of:
corridor, road, any passageway leading to fire-fighting equipment.
6. The fire scene-based monitoring method according to claim 1, wherein the electronic device is further connected with a smoke detection device, and the smoke detection device is used for detecting the smoke condition of the fire scene in real time;
the method further comprises the following steps:
when the smoke detection device detects smoke, generating a smoke prompt signal;
and sending the smoke prompt signal to a client and/or a general monitoring device through a wireless communication device.
7. The fire scene-based monitoring method according to claim 6, wherein the method further comprises:
and sending a real-time monitoring signal to the client and/or the total monitoring equipment according to a preset timing time period.
8. A monitoring device based on a fire fighting site is characterized by being applied to electronic equipment, wherein the electronic equipment is connected with an image acquisition device, and the image acquisition device faces a fire fighting channel of the fire fighting site; the device comprises:
the acquisition module is used for acquiring the real-time image of the fire fighting channel acquired by the image acquisition device;
the recognition module is used for carrying out image recognition on the real-time image by using the trained neural network to obtain an image recognition result and judging whether the fire fighting channel is blocked or not according to the image recognition result;
and the sending module is used for sending a blockage prompt signal to the fire-fighting monitoring equipment if the blockage condition exists.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium having stored thereon computer executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 7.
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