CN111724435B - Building self-adaptive emergency processing method and storage medium - Google Patents
Building self-adaptive emergency processing method and storage medium Download PDFInfo
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Abstract
The invention relates to a self-adaptive emergency treatment method which comprises the steps of using a self-adaptive emergency treatment platform to arrange a falling-prevention rescue platform on the side surface of a building, and setting the vertical height of the rescue platform at one time based on the transverse area of a person to be rescued as reference data of the weight of the person to be rescued so as to guarantee the rescue effect of the rescue platform.
Description
Technical Field
The invention relates to the field of buildings, in particular to a building self-adaptive emergency processing method and a storage medium.
Background
Buildings are a general term for buildings and structures. The artificial environment is created by people by using the grasped substance technical means and applying certain scientific laws, geomantic omen and aesthetic rules in order to meet the needs of social life. Some categories distinguish buildings from non-architectural structures that people do not occupy for a long time in order to clearly express usability, and some architects also intend to subdivide buildings created with people conscious appearance into "buildings" (Architecture) in order to avoid confusion. It should be noted that sometimes buildings may also be extended to include "non-building structures" such as bridges, towers, tunnels, etc.
Buildings have both broad and narrow meanings. Building in the broad sense means everything that is constructed artificially, including both houses and structures. The building in the narrow sense means a house, and does not include a structure. The house is a space place which is provided with a foundation, a wall, a roof, a door and a window and can shield wind and rain, and people can live in, work, study, entertainment, store articles or perform other activities. Building related specialties are generally defined by the meaning of buildings in a narrow sense.
Disclosure of Invention
The invention needs to have the following key invention points:
(1) the method comprises the following steps that a falling-prevention rescue platform is arranged on the side face of a building, and the vertical height of the rescue platform is set at one time based on the transverse area of a person to be rescued as reference data of the weight of the person to be rescued, so that the rescue effect of the rescue platform is guaranteed, and the situation that rescue is not effective is avoided;
(2) on the basis of distortion correction processing, different image processing modes are executed on different components of the image by using the characteristics and the importance degrees of different colors, and a normalization processing step is set in a subsequent link, so that the efficiency of image processing is improved.
According to an aspect of the present invention, there is provided an adaptive emergency treatment method, the method including using an adaptive emergency treatment platform to set a fall-prevention rescue platform at a side of a building, and setting a vertical height of the rescue platform at one time based on a lateral area size of a person to be rescued as reference data of a weight thereof to secure a rescue effect of the rescue platform, the adaptive emergency treatment platform including: the rescue platform consists of a rectangular structure and a net body, wherein the net body is hung on the rectangular structure formed by casting stainless steel materials, and the rectangular structure is horizontally arranged and is vertical to the side face of a building.
More specifically, in the adaptive emergency processing platform, the platform further comprises: the spherical camera is arranged on the ground of the building, has a distance to the bottom of the building less than or equal to a preset value, and is used for carrying out image shooting operation on a side scene of the building in a face-up mode so as to obtain and output a corresponding side scene image.
More specifically, in the adaptive emergency processing platform, the platform further comprises: the compression coding equipment is connected with the spherical camera and used for receiving the side scene image and executing H264 compression coding processing on the side scene image to obtain compression coded image data; the signal extraction device is connected with the compression coding device and is used for analyzing the data volume of the image data after compression coding so as to obtain the effective data volume of the corresponding side scene image; in the signal extraction device, analyzing the data amount of the compression-encoded image data to obtain the effective data amount of the corresponding side scene image includes: the smaller the data amount of the image data after compression coding is, the smaller the effective data amount of the obtained corresponding side scene image is; the power supply input equipment is respectively connected with the compression coding equipment and the signal extraction equipment and is used for respectively carrying out power supply operation on the compression coding equipment and the signal extraction equipment; a distortion correction device for receiving the side scene image, performing a distortion correction operation on the side scene image to obtain a corresponding distortion corrected image; the power supply input device is further configured to start power supply operation to the distortion correction device and the component analysis device when the received valid data amount exceeds a limit, and otherwise, to close power supply operation to the distortion correction device and the component analysis device.
According to another aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed, carries out the steps of the adaptive emergency treatment method as described above.
The self-adaptive emergency processing method and the storage medium are safe, reliable and convenient to use. The anti-falling rescue platform is arranged on the side face of the building, and the vertical height of the rescue platform is set at one time based on the transverse area of the person to be rescued as the reference data of the weight of the person to be rescued, so that the rescue effect of the rescue platform is guaranteed, and the situation that rescue is ineffective is avoided.
Detailed Description
Embodiments of the adaptive emergency processing method and the storage medium of the present invention will be described in detail below.
The building crash rescue is one of the main processing items of the fire-fighting emergency department. Fire fighting refers to the elimination of prevention (the general term for preventing and solving human, natural and accidental disasters in the life, work and learning processes of people). The fire-fighting work is a work with strong sociality, and can be well done only by depending on the social strength and attention, support and participation of members in the whole society. Sociality of fire-fighting tools; fire management should penetrate into all fields of human harvest, thereby determining sociality of fire-fighting work; fire safety management relates to all walks of life and even thousands of households, and people have slight carelessness for fire safety management in the working and living processes of production, and can possibly cause various social accidents for losing consciousness, losing control and making mistakes during production.
In the prior art, a building does not have an emergency treatment mechanism related to a falling accident, the falling accident is found and judged manually, an alarm is given manually, and emergency departments such as fire fighting and the like are waited to build field protection facilities, so that the diagnosis mode is over-manual, time and labor are consumed, and the rescue effect is seriously influenced.
In order to overcome the defects, the invention provides a self-adaptive emergency treatment method which comprises the steps of using a self-adaptive emergency treatment platform to arrange a falling-prevention rescue platform on the side surface of a building, and setting the vertical height of the rescue platform at one time based on the transverse area of a person to be rescued as reference data of the weight of the person to be rescued so as to ensure the rescue effect of the rescue platform.
The self-adaptive emergency treatment platform shown according to the embodiment of the invention comprises:
the rescue platform consists of a rectangular structure and a net body, wherein the net body is hung on the rectangular structure formed by casting stainless steel materials, and the rectangular structure is horizontally arranged and is vertical to the side face of a building.
Next, the detailed structure of the adaptive emergency processing platform of the present invention will be further described.
The adaptive emergency processing platform can further comprise:
the spherical camera is arranged on the ground of the building, has a distance to the bottom of the building less than or equal to a preset value, and is used for carrying out image shooting operation on a side scene of the building in a face-up mode so as to obtain and output a corresponding side scene image.
The adaptive emergency processing platform can further comprise:
the compression coding equipment is connected with the spherical camera and used for receiving the side scene image and executing H264 compression coding processing on the side scene image to obtain compression coded image data;
the signal extraction device is connected with the compression coding device and is used for analyzing the data volume of the image data after compression coding so as to obtain the effective data volume of the corresponding side scene image;
in the signal extraction device, analyzing the data amount of the compression-encoded image data to obtain the effective data amount of the corresponding side scene image includes: the smaller the data amount of the image data after compression coding is, the smaller the effective data amount of the obtained corresponding side scene image is;
the power supply input equipment is respectively connected with the compression coding equipment and the signal extraction equipment and is used for respectively carrying out power supply operation on the compression coding equipment and the signal extraction equipment;
a distortion correction device for receiving the side scene image, performing a distortion correction operation on the side scene image to obtain a corresponding distortion corrected image;
the power supply input equipment is also used for starting the power supply operation of the distortion correction equipment and the component analysis equipment when the received effective data volume exceeds the limit, otherwise, closing the power supply operation of the distortion correction equipment and the component analysis equipment;
the component analysis equipment is connected with the distortion correction equipment and used for receiving the distortion correction image and obtaining a cyan component value, a magenta component value, a yellow component value and a black component value of each pixel point in the distortion correction image;
the dynamic enhancement device is connected with the component analysis device and is used for performing image enhancement processing on a cyan pattern formed by cyan component values of all pixel points in the distortion correction image to obtain a first enhancement pattern, performing image enhancement processing on a black pattern formed by black component values of all pixel points in the distortion correction image to obtain a second enhancement pattern, wherein the magenta pattern formed by magenta component values of all pixel points in the distortion correction image is a yellow pattern formed by yellow component values of all pixel points in the distortion correction image;
a real-time merging device connected to the dynamic enhancement device for merging the first enhancement pattern, the second enhancement pattern, the magenta pattern, and the yellow pattern to obtain a current enhancement image corresponding to the distortion-corrected image;
the normalization processing equipment is connected with the real-time merging equipment and used for receiving the current enhanced image and executing size normalization processing on the current enhanced image based on a preset image size so as to obtain a real-time normalized image;
the object identification device is connected with the normalization processing device and used for identifying the human body object in the real-time normalization image based on human body imaging characteristics and determining the transverse area of the human body object based on the depth of field of the human body object in the real-time normalization image and the number of pixel points occupied by the human body object;
the vertical driving device is respectively connected with the object identification device and the rescue platform and used for determining the set height of the rescue platform based on the transverse area when the transverse area is received for the first time and driving the rescue platform to reach the set height;
wherein the vertical driving apparatus comprises a permanent magnet brushless motor, the larger the lateral area, the higher the determined setting height.
In the adaptive emergency processing platform:
the real-time merging device, the dynamic enhancing device, the object identifying device and the normalization processing device are respectively realized by adopting ASIC chips.
The adaptive emergency processing platform can further comprise:
and the segmentation processing device is connected with the normalization processing device and used for receiving the real-time normalized image, performing dynamic range adjustment processing on the real-time normalized image to obtain a corresponding dynamic range adjustment image, performing subimage segmentation processing on the real-time normalized image based on a preset segmentation size to obtain a plurality of first subimages, and performing subimage segmentation processing on the dynamic range adjustment image based on a preset segmentation size to obtain a plurality of second subimages.
The adaptive emergency processing platform can further comprise:
and the level difference acquisition device is connected with the segmentation processing device and is used for averaging the level differences of the first sub-images at the preset positions in the real-time normalized image to obtain pre-processing level differences and averaging the level differences of the second sub-images at the preset positions in the dynamic range adjustment image to obtain post-processing level differences, wherein the level differences of the image are the difference obtained by subtracting the minimum level value from the maximum level value.
The adaptive emergency processing platform can further comprise:
and the level difference processing device is respectively connected with the object identification device and the level difference acquisition device, and is used for executing circulating dynamic range adjustment processing on the dynamic range adjustment image when the received processed level difference is less than or equal to a preset level difference threshold value until the level difference of the obtained processed image exceeds the preset level difference threshold value, and replacing the real-time normalized image with the obtained processed image as a level difference processing image and sending the level difference processing image to the object identification device.
In the adaptive emergency processing platform:
the level difference processing device further comprises a level difference receiving sub-device, a circulating processing sub-device and an image output sub-device, wherein the circulating processing sub-device is respectively connected with the level difference receiving sub-device and the image output sub-device;
the cyclic processing sub-device is used for executing cyclic dynamic range adjustment processing on the dynamic range adjustment image when the received processed level difference is less than or equal to a preset level difference threshold value until the obtained level difference of the processed image exceeds the preset level difference threshold value;
in the level difference obtaining device, the preset position is a central position of a processed image, that is, the dynamic range adjustment image or the real-time normalization image, and the preset position is the central position of the dynamic range adjustment image or the real-time normalization image.
Meanwhile, in order to overcome the above disadvantages, the present invention also provides a computer readable storage medium, on which a computer program is stored, and the computer program realizes the steps of the adaptive emergency processing method as described above when being executed.
In addition, the dynamic enhancing apparatus may be implemented using an SOC chip. System on Chip, called SOC for short, is also a System on Chip. From a narrow sense, the system is the chip integration of the core of an information system, and key components of the system are integrated on one chip; in a broad sense, SoC is a micro-miniature system, and if the Central Processing Unit (CPU) is the brain, SoC is a system that includes the brain, heart, eyes, and hands. The academia at home and abroad generally tends to define the SOC as integrating a microprocessor, an analog IP core, a digital IP core and a memory (or off-chip memory control interface) on a single chip, which is usually custom-made or standard product oriented to a specific application. The basic content of the SOC definition is mainly two-fold: one is his composition and the other is his forming process. The system-on-chip can be composed of a system-on-chip control logic module, a microprocessor/microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for communicating with the outside, an analog front-end module containing ADC/DAC, a power supply and power consumption management module, a radio frequency front-end module, user defined logic (which can be realized by FPGA or ASIC) and a micro-electro-mechanical module for a wireless SoC, and more importantly, a SOC chip is embedded with a basic software (RDOS or COS and other application software) module or loadable user software and the like.
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 (5)
1. An adaptive emergency treatment method, which comprises using an adaptive emergency treatment platform to set a fall-prevention rescue platform at the side of a building, and setting the vertical height of the rescue platform at one time based on the size of the lateral area of a person to be rescued as reference data of the weight of the person to be rescued to ensure the rescue effect of the rescue platform, the adaptive emergency treatment platform comprising:
the rescue platform consists of a rectangular structure and a net body, wherein the net body is hung on the rectangular structure which is cast by stainless steel materials, and the rectangular structure is horizontally arranged and is vertical to the side surface of a building;
the spherical camera is arranged on the ground of the building, has a distance to the bottom of the building less than or equal to a preset value, and is used for carrying out image shooting operation on a side scene of the building in a face-up mode so as to obtain and output a corresponding side scene image;
the compression coding equipment is connected with the spherical camera and used for receiving the side scene image and executing H264 compression coding processing on the side scene image to obtain compression coded image data;
the signal extraction device is connected with the compression coding device and is used for analyzing the data volume of the image data after compression coding so as to obtain the effective data volume of the corresponding side scene image;
in the signal extraction device, analyzing the data amount of the compression-encoded image data to obtain the effective data amount of the corresponding side scene image includes: the smaller the data amount of the image data after compression coding is, the smaller the effective data amount of the obtained corresponding side scene image is;
the power supply input equipment is respectively connected with the compression coding equipment and the signal extraction equipment and is used for respectively carrying out power supply operation on the compression coding equipment and the signal extraction equipment;
a distortion correction device for receiving the side scene image, performing a distortion correction operation on the side scene image to obtain a corresponding distortion corrected image;
the power supply input equipment is also used for starting the power supply operation of the distortion correction equipment and the component analysis equipment when the received effective data volume exceeds the limit, otherwise, closing the power supply operation of the distortion correction equipment and the component analysis equipment;
the component analysis equipment is connected with the distortion correction equipment and used for receiving the distortion correction image and obtaining a cyan component value, a magenta component value, a yellow component value and a black component value of each pixel point in the distortion correction image;
the dynamic enhancement device is connected with the component analysis device and is used for performing image enhancement processing on a cyan pattern formed by cyan component values of all pixel points in the distortion correction image to obtain a first enhancement pattern, performing image enhancement processing on a black pattern formed by black component values of all pixel points in the distortion correction image to obtain a second enhancement pattern, wherein the magenta pattern formed by magenta component values of all pixel points in the distortion correction image is a yellow pattern formed by yellow component values of all pixel points in the distortion correction image;
a real-time merging device connected to the dynamic enhancement device for merging the first enhancement pattern, the second enhancement pattern, the magenta pattern, and the yellow pattern to obtain a current enhancement image corresponding to the distortion-corrected image;
the normalization processing equipment is connected with the real-time merging equipment and used for receiving the current enhanced image and executing size normalization processing on the current enhanced image based on a preset image size so as to obtain a real-time normalized image;
the object identification device is connected with the normalization processing device and used for identifying the human body object in the real-time normalization image based on human body imaging characteristics and determining the transverse area of the human body object based on the depth of field of the human body object in the real-time normalization image and the number of pixel points occupied by the human body object;
the vertical driving device is respectively connected with the object identification device and the rescue platform and used for determining the set height of the rescue platform based on the transverse area when the transverse area is received for the first time and driving the rescue platform to reach the set height;
wherein the vertical driving device comprises a permanent magnet brushless motor, and the larger the transverse area is, the higher the determined setting height is;
and the level difference acquisition device is connected with the segmentation processing device and is used for averaging the level differences of the first sub-images at the preset positions in the real-time normalized image to obtain pre-processing level differences and averaging the level differences of the second sub-images at the preset positions in the dynamic range adjustment image to obtain post-processing level differences, wherein the level differences of the image are the difference obtained by subtracting the minimum level value from the maximum level value.
2. The method of claim 1, wherein:
the real-time merging device, the dynamic enhancing device, the object identifying device and the normalization processing device are respectively realized by adopting ASIC chips.
3. The method of claim 2, wherein the platform further comprises:
and the segmentation processing device is connected with the normalization processing device and used for receiving the real-time normalized image, performing dynamic range adjustment processing on the real-time normalized image to obtain a corresponding dynamic range adjustment image, performing subimage segmentation processing on the real-time normalized image based on a preset segmentation size to obtain a plurality of first subimages, and performing subimage segmentation processing on the dynamic range adjustment image based on a preset segmentation size to obtain a plurality of second subimages.
4. The method of claim 3, wherein the platform further comprises:
and the level difference processing device is respectively connected with the object identification device and the level difference acquisition device, and is used for executing circulating dynamic range adjustment processing on the dynamic range adjustment image when the received processed level difference is less than or equal to a preset level difference threshold value until the level difference of the obtained processed image exceeds the preset level difference threshold value, and replacing the real-time normalized image with the obtained processed image as a level difference processing image and sending the level difference processing image to the object identification device.
5. The method of claim 4, wherein:
the level difference processing device further comprises a level difference receiving sub-device, a circulating processing sub-device and an image output sub-device, wherein the circulating processing sub-device is respectively connected with the level difference receiving sub-device and the image output sub-device;
the cyclic processing sub-device is used for executing cyclic dynamic range adjustment processing on the dynamic range adjustment image when the received processed level difference is less than or equal to a preset level difference threshold value until the obtained level difference of the processed image exceeds the preset level difference threshold value;
in the level difference obtaining device, the preset position is a central position of a processed image, that is, the dynamic range adjustment image or the real-time normalization image, and the preset position is the central position of the dynamic range adjustment image or the real-time normalization image.
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| CN103223211B (en) * | 2012-12-05 | 2015-09-30 | 广州市海林电子科技发展有限公司 | A kind of rescue system for skyscraper |
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