CN111888675A - Automatic fire-fighting air cushion control platform and method - Google Patents
Automatic fire-fighting air cushion control platform and method Download PDFInfo
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- A—HUMAN NECESSITIES
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- A62B1/00—Devices for lowering persons from buildings or the like
- A62B1/22—Devices for lowering persons from buildings or the like by making use of jumping devices, e.g. jumping-sheets, jumping-mattresses
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention relates to an automatic fire-fighting air cushion control platform and a method, wherein the platform comprises: the fire-fighting air cushion is paved on the side surface of a fire building and used for receiving building jumping personnel of a high-rise floor; the motion driving mechanism is positioned below the fire-fighting air cushion and used for moving in a corresponding moving direction and a corresponding moving amount according to the received motion vector; the section analysis equipment is connected with the inflatable pump body and used for calculating the horizontal section area corresponding to the human body object based on the received imaging field depth and the occupied area percentage; an inflation pump body for controlling a total amount of gas currently inflated to the fire air cushion based on the received horizontal cross-sectional area. The automatic fire-fighting air cushion control platform and the method have intelligent operation and certain self-adaptive control accuracy. The self-adaptive control action can be executed on the fire-fighting air cushion below according to the building-jumping state of the high-rise building-jumping personnel in the fire building, so that the reliable protection of the building-jumping personnel is realized.
Description
Technical Field
The invention relates to the field of fire-fighting facilities, in particular to an automatic fire-fighting air cushion control platform and method.
Background
The fire fighting equipment (fire fighting Device) refers to fixed equipment such as an automatic fire alarm system, an indoor fire hydrant, an outdoor fire hydrant and the like in a building. The automatic fire fighting facilities are divided into electric system automatic facilities and water system automatic facilities.
The electric fire safety detection is based on modern physical phenomena of heat radiation, acoustic emission, electromagnetic emission and the like in the operation process of electric facilities, adopts international advanced high and new technology instruments and equipment, and combines a traditional inspection method to carry out comprehensive quantitative monitoring on the electric facilities. Therefore, the existence, the danger degree and the accurate position of the electric fire hidden danger can be reflected more comprehensively, scientifically and accurately, and corresponding rectification measures can be provided in time, so that the hidden danger can be eliminated, and the electric fire accident can be avoided.
The electric system facility is equipment capable of automatically alarming when a fire accident happens. These devices are manufactured by installing probes at various locations and then accessing all probes into a single host. When the probe detects evidence of a fire, such as: the smoke, the temperature is higher, etc. will give the host computer information transfer, and the host computer reminds the staff through sending out the warning sound and showing the warning reason. Water system facilities are used for introducing water through a water pipe in places with more people flow and goods, and the water outlet of fire fighting water is blocked by a spray header in a state of higher water pressure. The glass tube on the spray can be automatically exploded under the condition of higher temperature, and then the spray head can uniformly spray water so as to achieve the purpose of fire extinguishing.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides an automatic fire-fighting air cushion control platform which can perform self-adaptive control action on a fire-fighting air cushion below according to the building-jumping state of high-rise building-jumping personnel in a fire building, so that the reliable protection of the building-jumping personnel is realized.
Therefore, the invention needs to have the following three key points:
(1) controlling the total amount of currently inflated gas of the fire-fighting air cushion based on the received horizontal cross-sectional area of the human body object of the building-skipping personnel, wherein the larger the horizontal cross-sectional area is, the larger the total amount of currently inflated gas of the fire-fighting air cushion is;
(2) flushing the fire air cushion with gas consistent with a maximum total inflation amount of the fire air cushion when a total amount of currently inflated gas to the fire air cushion, controlled based on a received horizontal cross-sectional area of the human subject, exceeds the maximum total inflation amount of the fire air cushion;
(3) and establishing a self-adaptive driving mechanism to control the fire-fighting air cushion to correspondingly move in a follow-up manner along with the positions of the human body objects of the building-jumping personnel right above the fire-fighting air cushion.
According to an aspect of the present invention, there is provided an automated fire air cushion control platform, the platform comprising:
the fire-fighting air cushion is paved on the side surface of a fire building and used for receiving building-jumping personnel on a high-rise floor so as to reduce human body injury;
the motion driving mechanism is positioned below the fire-fighting air cushion and used for moving in a corresponding moving direction and a corresponding moving amount according to the received motion vector;
the section analysis equipment is connected with the inflatable pump body and used for calculating the horizontal section area corresponding to the human body object based on the received imaging field depth and the occupied area percentage;
the inflation pump body is arranged near the fire-fighting air cushion, is communicated with an inflation port of the fire-fighting air cushion and is used for controlling the total amount of currently inflated air of the fire-fighting air cushion based on the received horizontal cross-sectional area;
the miniature acquisition mechanism is embedded in the upper surface of the fire-fighting air cushion, is packaged with a transparent elastic material right above the miniature acquisition mechanism, and is used for carrying out field image data acquisition on a personnel building jump scene so as to obtain a corresponding current scene image;
bilateral filtering equipment, which establishes a bluetooth communication connection with the micro acquisition mechanism and is used for executing bilateral filtering processing on the received current scene image so as to obtain and output a corresponding bilateral filtering image;
the content filtering equipment is connected with the bilateral filtering equipment and is used for executing Butterworth low-pass filtering processing on the received bilateral filtering image so as to obtain and output a corresponding content filtering image;
the real-time enhancement equipment is connected with the content filtering equipment and is used for executing image frequency domain enhancement processing on the received content filtering image so as to obtain and output a corresponding real-time enhancement image;
the first analysis mechanism is respectively connected with the section analysis equipment and the real-time enhancement equipment and is used for detecting the imaging depth of field and the occupied area percentage of the human body object in the real-time enhanced image;
the second analysis mechanism is connected with the real-time enhancement equipment and is used for calculating a central pixel point of the real-time enhancement image and a central pixel point of an image area occupied by a human body object in the real-time enhancement image;
the vector extraction equipment is respectively connected with the motion driving mechanism and the second analysis mechanism and is used for determining a corresponding motion vector based on the direction and the distance of a central pixel point of the real-time enhanced image relative to a central pixel point of an image area occupied by a human body object in the real-time enhanced image;
wherein controlling a total amount of gas currently inflated to the fire air cushion based on the received horizontal cross-sectional area comprises: the total amount of currently inflated gas of the fire air cushion is in a monotonic positive correlation with the received horizontal cross-sectional area.
According to another aspect of the present invention, there is also provided an automated fire air cushion control method, the method comprising using an automated fire air cushion control platform as described above to perform adaptive control actions on the fire air cushions below according to the building-skipping status of high-rise building-skipping personnel in a fire building.
The automatic fire-fighting air cushion control platform and the method have intelligent operation and certain self-adaptive control accuracy. The self-adaptive control action can be executed on the fire-fighting air cushion below according to the building-jumping state of the high-rise building-jumping personnel in the fire building, so that the reliable protection of the building-jumping personnel is realized.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of a fire air cushion configuration of an automated fire air cushion control platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the automated fire air cushion control platform and method of the present invention will now be described in detail with reference to the drawings.
The intelligent control is based on the subjects of control theory, computer science, artificial intelligence, operation research and the like, relevant theories and technologies are expanded, wherein the theories of fuzzy logic, neural networks, expert systems, genetic algorithms and the like, and the technologies of self-adaptive control, self-organization control, self-learning control and the like are applied.
An expert system is a control system that uses expert knowledge to describe specific or difficult problems. Although expert systems have achieved relatively successful application in addressing sophisticated advanced reasoning, the practical application of expert systems is relatively rare.
Fuzzy logic describes the system in a fuzzy language, and can describe a quantitative model of the application system and a qualitative model of the application system. Fuzzy logic is applicable to arbitrarily complex object control.
The genetic algorithm is used as a non-deterministic nature-simulated random optimization tool, has the characteristics of parallel computation, quick search of a global optimal solution and the like, can be mixed with other technologies for use, and is used for optimal control of parameters, structures or environments of intelligent control.
The neural network is a self-adaptive control method which utilizes a large number of neurons and performs learning and adjustment according to a certain topological structure. The method can show rich characteristics, and specifically comprises parallel computing, distributed storage, variable structure, high fault tolerance, nonlinear operation, self organization, learning or self learning. These characteristics are long sought and desired system characteristics. The neural network has unique capability in the aspects of controlling parameters, structures or environments of intelligent control, such as self-adaptation, self-organization and self-learning.
At present, jumping building protection problem to the high-rise personnel of conflagration building, generally adopting the fire control air cushion to carry out the protection of the human body that falls, however in actual operation, the concrete setting position of fire control air cushion, the inflation time and the development time of fire control air cushion etc. all rely on artifical mode to go on, have delayed valuable rescue time very easily, simultaneously, fill too much or too little tolerance and all be unfavorable for the rescue.
In order to overcome the defects, the invention builds an automatic fire-fighting air cushion control platform and a method, and can effectively solve the corresponding technical problems.
An automated fire air cushion control platform according to an embodiment of the present invention includes:
the fire-fighting air cushion comprises an air cushion body 1, an inflation pipeline 2 and an exhaust port 4, and is connected with an inflation pump body 3, laid on the side of a fire building and used for receiving building jump personnel on a high-rise floor to reduce human body injury, as shown in figure 1;
the motion driving mechanism is positioned below the fire-fighting air cushion and used for moving in a corresponding moving direction and a corresponding moving amount according to the received motion vector;
the section analysis equipment is connected with the inflatable pump body and used for calculating the horizontal section area corresponding to the human body object based on the received imaging field depth and the occupied area percentage;
the inflation pump body is arranged near the fire-fighting air cushion, is communicated with an inflation port of the fire-fighting air cushion and is used for controlling the total amount of currently inflated air of the fire-fighting air cushion based on the received horizontal cross-sectional area;
the miniature acquisition mechanism is embedded in the upper surface of the fire-fighting air cushion, is packaged with a transparent elastic material right above the miniature acquisition mechanism, and is used for carrying out field image data acquisition on a personnel building jump scene so as to obtain a corresponding current scene image;
bilateral filtering equipment, which establishes a bluetooth communication connection with the micro acquisition mechanism and is used for executing bilateral filtering processing on the received current scene image so as to obtain and output a corresponding bilateral filtering image;
the content filtering equipment is connected with the bilateral filtering equipment and is used for executing Butterworth low-pass filtering processing on the received bilateral filtering image so as to obtain and output a corresponding content filtering image;
the real-time enhancement equipment is connected with the content filtering equipment and is used for executing image frequency domain enhancement processing on the received content filtering image so as to obtain and output a corresponding real-time enhancement image;
the first analysis mechanism is respectively connected with the section analysis equipment and the real-time enhancement equipment and is used for detecting the imaging depth of field and the occupied area percentage of the human body object in the real-time enhanced image;
the second analysis mechanism is connected with the real-time enhancement equipment and is used for calculating a central pixel point of the real-time enhancement image and a central pixel point of an image area occupied by a human body object in the real-time enhancement image;
the vector extraction equipment is respectively connected with the motion driving mechanism and the second analysis mechanism and is used for determining a corresponding motion vector based on the direction and the distance of a central pixel point of the real-time enhanced image relative to a central pixel point of an image area occupied by a human body object in the real-time enhanced image;
wherein controlling a total amount of gas currently inflated to the fire air cushion based on the received horizontal cross-sectional area comprises: the total amount of currently inflated gas of the fire air cushion is in a monotonic positive correlation with the received horizontal cross-sectional area.
The detailed structure of the automated fire air cushion control platform of the present invention will now be further described.
Among the automatic fire control air cushion control platform:
calculating the horizontal cross-sectional area of the human subject based on the received imaging depth of field and the percentage of area occupied includes: the horizontal cross-sectional area corresponding to the human body object is in a monotonous positive correlation with the received imaging depth.
Among the automatic fire control air cushion control platform:
calculating the horizontal cross-sectional area of the human subject based on the received imaging depth of field and the percentage of area occupied includes: the horizontal cross-sectional area corresponding to the human subject is in a monotonic positive correlation with the percentage of the occupied area.
Among the automatic fire control air cushion control platform:
and a first Bluetooth communication interface is arranged in the bilateral filtering equipment and is used for establishing a bidirectional Bluetooth communication link with a second Bluetooth communication interface arranged in the miniature acquisition mechanism.
The automatic fire-fighting air cushion control platform can further comprise:
and the air quantity alarm mechanism is connected with the inflation pump body and is used for sending out an insufficient air quantity signal when the total air quantity of the current inflation of the fire-fighting air cushion controlled based on the received horizontal section area exceeds the maximum inflation total quantity of the fire-fighting air cushion.
Among the automatic fire control air cushion control platform:
the air quantity alarm mechanism is also used for sending out an air quantity sufficient signal when the total air quantity of the current inflation of the fire-fighting air cushion controlled based on the received horizontal section area does not exceed the maximum total inflation quantity of the fire-fighting air cushion.
Among the automatic fire control air cushion control platform:
controlling a total amount of gas currently inflated to the fire cushion based on the received horizontal cross-sectional area includes: flushing the fire air cushion with gas consistent with a maximum total inflation of the fire air cushion when a total amount of currently inflated gas of the fire air cushion controlled based on the received horizontal cross-sectional area exceeds the maximum total inflation of the fire air cushion.
The automatic fire-fighting air cushion control platform can further comprise:
the air pressure detection equipment is arranged in the fire-fighting air cushion and is used for detecting and outputting the real-time air pressure in the fire-fighting air cushion;
and the air pressure alarm mechanism is connected with the air pressure detection equipment and used for executing corresponding alarm operation when the received real-time air pressure exceeds a preset pressure threshold value.
Meanwhile, in order to overcome the defects, the invention also builds an automatic fire-fighting air cushion control method, which comprises the step of using the automatic fire-fighting air cushion control platform to perform self-adaptive control action on the fire-fighting air cushion below according to the building-jumping state of high-rise building-jumping personnel in the fire building.
In addition, Bluetooth (Bluetooth): the wireless technology standard can realize short-distance data exchange (using UHF radio waves of ISM wave band of 2.4-2.485 GHz) between fixed equipment, mobile equipment and a building personal area network. Bluetooth was originally created by telecommunications grand ericsson in 1994, as an alternative to RS232 data lines. Bluetooth can be connected with a plurality of devices, and the problem of data synchronization is solved.
Bluetooth is currently managed by the Bluetooth Special Interest Group (SIG for short). The bluetooth consortium has over 25,000 member companies worldwide, which are distributed in multiple areas of telecommunications, computers, networks, and consumer electronics. IEEE is listing bluetooth technology as IEEE802.15.1, but today the standard is no longer maintained. The bluetooth alliance is responsible for supervising the development of bluetooth specifications, managing authentication projects, and maintaining trademark rights and interests. The manufacturer's devices must conform to the standards of the bluetooth alliance in order to enter the market under the name of "bluetooth devices". Bluetooth technology has a proprietary network that can be delivered to devices that meet standards.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An automated fire protection air cushion control platform, the platform comprising:
the fire-fighting air cushion is paved on the side surface of a fire building and used for receiving building-jumping personnel on a high-rise floor so as to reduce human body injury;
the motion driving mechanism is positioned below the fire-fighting air cushion and used for moving in a corresponding moving direction and a corresponding moving amount according to the received motion vector;
the section analysis equipment is connected with the inflatable pump body and used for calculating the horizontal section area corresponding to the human body object based on the received imaging field depth and the occupied area percentage;
the inflation pump body is arranged near the fire-fighting air cushion, is communicated with an inflation port of the fire-fighting air cushion and is used for controlling the total amount of currently inflated air of the fire-fighting air cushion based on the received horizontal cross-sectional area;
the miniature acquisition mechanism is embedded in the upper surface of the fire-fighting air cushion, is packaged with a transparent elastic material right above the miniature acquisition mechanism, and is used for carrying out field image data acquisition on a personnel building jump scene so as to obtain a corresponding current scene image;
bilateral filtering equipment, which establishes a bluetooth communication connection with the micro acquisition mechanism and is used for executing bilateral filtering processing on the received current scene image so as to obtain and output a corresponding bilateral filtering image;
the content filtering equipment is connected with the bilateral filtering equipment and is used for executing Butterworth low-pass filtering processing on the received bilateral filtering image so as to obtain and output a corresponding content filtering image;
the real-time enhancement equipment is connected with the content filtering equipment and is used for executing image frequency domain enhancement processing on the received content filtering image so as to obtain and output a corresponding real-time enhancement image;
the first analysis mechanism is respectively connected with the section analysis equipment and the real-time enhancement equipment and is used for detecting the imaging depth of field and the occupied area percentage of the human body object in the real-time enhanced image;
the second analysis mechanism is connected with the real-time enhancement equipment and is used for calculating a central pixel point of the real-time enhancement image and a central pixel point of an image area occupied by a human body object in the real-time enhancement image;
the vector extraction equipment is respectively connected with the motion driving mechanism and the second analysis mechanism and is used for determining a corresponding motion vector based on the direction and the distance of a central pixel point of the real-time enhanced image relative to a central pixel point of an image area occupied by a human body object in the real-time enhanced image;
wherein controlling a total amount of gas currently inflated to the fire air cushion based on the received horizontal cross-sectional area comprises: the total amount of currently inflated gas of the fire air cushion is in a monotonic positive correlation with the received horizontal cross-sectional area.
2. The automated fire protection air cushion control platform of claim 1, wherein:
calculating the horizontal cross-sectional area of the human subject based on the received imaging depth of field and the percentage of area occupied includes: the horizontal cross-sectional area corresponding to the human body object is in a monotonous positive correlation with the received imaging depth.
3. The automated fire protection air cushion control platform of claim 2, wherein:
calculating the horizontal cross-sectional area of the human subject based on the received imaging depth of field and the percentage of area occupied includes: the horizontal cross-sectional area corresponding to the human subject is in a monotonic positive correlation with the percentage of the occupied area.
4. The automated fire protection air cushion control platform of claim 3, wherein:
and a first Bluetooth communication interface is arranged in the bilateral filtering equipment and is used for establishing a bidirectional Bluetooth communication link with a second Bluetooth communication interface arranged in the miniature acquisition mechanism.
5. The automated fire protection air cushion control platform of claim 4, wherein the platform further comprises:
and the air quantity alarm mechanism is connected with the inflation pump body and is used for sending out an insufficient air quantity signal when the total air quantity of the current inflation of the fire-fighting air cushion controlled based on the received horizontal section area exceeds the maximum inflation total quantity of the fire-fighting air cushion.
6. The automated fire protection air cushion control platform of claim 5, wherein:
the air quantity alarm mechanism is also used for sending out an air quantity sufficient signal when the total air quantity of the current inflation of the fire-fighting air cushion controlled based on the received horizontal section area does not exceed the maximum total inflation quantity of the fire-fighting air cushion.
7. The automated fire protection air cushion control platform of claim 6, wherein:
controlling a total amount of gas currently inflated to the fire cushion based on the received horizontal cross-sectional area includes: flushing the fire air cushion with gas consistent with a maximum total inflation of the fire air cushion when a total amount of currently inflated gas of the fire air cushion controlled based on the received horizontal cross-sectional area exceeds the maximum total inflation of the fire air cushion.
8. The automated fire protection air mattress control platform of claim 7, wherein the platform further comprises:
the air pressure detection equipment is arranged in the fire-fighting air cushion and is used for detecting and outputting the real-time air pressure in the fire-fighting air cushion;
and the air pressure alarm mechanism is connected with the air pressure detection equipment and used for executing corresponding alarm operation when the received real-time air pressure exceeds a preset pressure threshold value.
9. An automated fire air cushion control method, the method comprising using the automated fire air cushion control platform of any of claims 1-8 to perform adaptive control actions on an underlying fire air cushion based on the building jump status of high-rise building jump personnel in a fire building.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112516496A (en) * | 2020-12-01 | 2021-03-19 | 杨明 | Multifunctional fire-fighting aerial ladder control platform and method |
| CN112807702A (en) * | 2020-12-06 | 2021-05-18 | 泰州可以信息科技有限公司 | Real-time inflation system using area detection |
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