CN112686832A - Height deviation data identification system and corresponding terminal - Google Patents
Height deviation data identification system and corresponding terminal Download PDFInfo
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- CN112686832A CN112686832A CN201910995819.9A CN201910995819A CN112686832A CN 112686832 A CN112686832 A CN 112686832A CN 201910995819 A CN201910995819 A CN 201910995819A CN 112686832 A CN112686832 A CN 112686832A
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Abstract
The invention relates to a height deviation data identification system and a corresponding terminal, wherein the system comprises: the floor detection device is used for matching each floor area from the customized processing image based on the outline of the single floor; an altitude identification device for performing the following actions for each floor area: acquiring the quantity of each row of pixel points in the floor area, and determining the corresponding floor height based on the average value of the quantity of each row of pixel points in the floor area; determining the corresponding floor height based on the average value of the number of the pixel points in each row of the floor area comprises the following steps: and the average value of the number of each row of pixel points in the floor area is positively correlated with the determined corresponding floor height. The height deviation data identification system and the corresponding terminal are reasonable in logic and convenient to operate. Because a customized single-floor height detection mechanism and a multi-floor height deviation data identification mechanism are established, valuable reference data are provided for judging whether the layout of the building meets the standard or not.
Description
Technical Field
The invention relates to the field of computer storage, in particular to a height deviation data identification system and a corresponding terminal.
Background
Floors are important components of a house. A floor is a horizontal partition member for partitioning a space in a building. It divides the building into several parts in the vertical direction. The floors are load-bearing members, bear the dead weight and the floor use load and transfer the load to the wall (beam) and the column, and the floors play a certain horizontal supporting role for the wall body. The structural layer, i.e. the floor slab, is the load-bearing part of the floor. The main function is to carry all the loads on the floor and to transfer them to the walls (beams) or columns; meanwhile, the wall body is horizontally supported, so that the integral rigidity of the building is enhanced.
The floors can be divided into various types such as wood floor slabs, brick arch floor slabs, reinforced concrete floor slabs, pressed steel plate composite floor slabs and the like according to different used materials.
(1) The wooden floor is made by spreading nailed wooden boards on and under wooden grids and arranging shear braces between the grids to enhance integrity and stability. The floor slab has simple structure, convenient construction and light dead weight, but is rarely adopted at present due to poor fire prevention and durability and large wood consumption.
(2) The brick arch floor is built into an arch structure by bricks to bear the load of the floor layer. The floor saves wood, steel bars and cement, but has great weight, poor earthquake resistance and more complex construction, and is not used at present.
(3) The reinforced concrete floor slab has high strength, good integrity, strong fire resistance, durability and plasticity, is convenient for mechanical construction and industrial production, and is a widely applied structural form.
(4) A profiled steel sheet composite floor is a composite floor which is formed by pouring concrete and a profiled steel sheet which is used as a lining plate. The steel lining plate is used as a bearing member and a bottom die of the floor slab, so that the strength and the rigidity of the floor slab are improved, the construction progress is accelerated, and the floor slab is a novel floor slab which is widely popularized at present.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a height deviation data identification system which can carry out on-site detection on the heights of all floors of a building to be detected and send a height deviation signal when the deviation value from the height of a floor to the mean value of the heights of all floors exceeds the limit; the method is particularly characterized in that a customized detection mechanism of the single-layer floor height based on the pixel level is introduced, so that the accuracy of the floor height detection is improved.
According to an aspect of the invention, there is provided a height deviation data identification system, the system comprising:
the numerical analysis equipment is used for sending an altitude deviation signal when the deviation numerical value from the altitude of a floor to the average altitude of all floors exceeds the limit;
the numerical analysis equipment is also used for sending a height reliable signal when the deviation value from the height of a floor to the mean value of the heights of all floors does not exceed the limit;
the full-color video recording equipment is arranged on a triangular support in front of the building and is used for executing full-color video recording operation on scenes in which the building is positioned so as to obtain and output a current video recording frame;
the nearest neighbor interpolation device is connected with the full-color video recording device and used for receiving the current video recording frame and executing nearest neighbor interpolation processing on the current video recording frame to obtain a nearest neighbor interpolation image;
the inverse harmonic mean filtering equipment is connected with the nearest neighbor interpolation equipment and is used for executing inverse harmonic mean filtering processing on the received nearest neighbor interpolation image so as to obtain a corresponding inverse harmonic mean filtering image;
the dynamic range adjusting device is connected with the inverse harmonic mean filtering device and is used for executing dynamic range adjustment on the received inverse harmonic mean filtering image to obtain a dynamic range adjusting image;
a vertical sharpening device connected to the dynamic range adjusting device, for performing vertical sharpening on the received dynamic range adjusted image to obtain a vertical sharpened image;
the floor detection device is connected with the vertical sharpening device and is used for matching each floor area from the vertical sharpened image based on the outline of a single floor;
the height identification device is connected with the floor detection device and used for executing the following actions on each floor area: acquiring the quantity of each row of pixel points in the floor area, and determining the corresponding floor height based on the average value of the quantity of each row of pixel points in the floor area;
wherein, the determining of the corresponding floor height based on the average value of the number of the pixel points in each row of the floor area comprises: and the average value of the number of each row of pixel points in the floor area is positively correlated with the determined corresponding floor height.
According to another aspect of the present invention, there is also provided a height deviation data identification terminal, characterized in that the terminal comprises: a memory and a processor, the processor coupled to the memory; the memory for storing executable instructions of the processor; the processor is used for calling the executable instructions in the memory so as to realize the method for carrying out on-site detection and numerical analysis on each floor height of the building to be detected by using the height deviation data identification system to identify whether the height deviation between floors exists or not.
The height deviation data identification system and the corresponding terminal are reasonable in logic and convenient to operate. Because a customized single-floor height detection mechanism and a multi-floor height deviation data identification mechanism are established, valuable reference data are provided for judging whether the layout of the building meets the standard or not.
It can be seen that the present invention has at least the following important features:
(1) carrying out on-site detection on the heights of all floors of a building to be detected, and sending a height deviation signal when the deviation value from the height of a certain floor to the mean value of the heights of all floors exceeds the limit;
(2) and a customized detection mechanism of the single-layer floor height based on the pixel level is introduced, so that the accuracy of the floor height detection is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a diagram illustrating an external appearance of a building to which a height deviation data identification system is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the height deviation data identification system and the corresponding terminal of the present invention will be described in detail below with reference to the accompanying drawings.
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 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 consciousness by people 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. A building in the broad sense refers to 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. The best possible description of the concept of building for professional learning about "building" is old: "mix mud with water each is a machine, and when it does not exist, it is used as well. Chishu you can be used as a house, if it does not exist, it can be used as a house. This is also certainly the clearest and most direct expression for the narrow building concept.
Unlike buildings, which have no internal space for people to use, people do not usually perform production and living activities directly inside, such as chimneys, water towers, bridges, dams, sculptures, etc.
At present, after the building is finished, whether the building is qualified or not needs to be checked, however, at present, the checking of the building mainly focuses on whether each part inside each room is qualified or not, and the checking mechanism of the layout of the whole building is very few, for example, the checking mechanism of whether the floor heights of each floor constituting the building are consistent or not is lacked.
In order to overcome the defects, the invention builds a height deviation data identification system and a corresponding terminal, and can effectively solve the corresponding technical problem.
Fig. 1 is a diagram illustrating an external appearance of a building to which a height deviation data identification system is applied according to an embodiment of the present invention.
A height deviation data identification system is shown according to an embodiment of the invention comprising:
the numerical analysis equipment is used for sending an altitude deviation signal when the deviation numerical value from the altitude of a floor to the average altitude of all floors exceeds the limit;
the numerical analysis equipment is also used for sending a height reliable signal when the deviation value from the height of a floor to the mean value of the heights of all floors does not exceed the limit;
the full-color video recording equipment is arranged on a triangular support in front of the building and is used for executing full-color video recording operation on scenes in which the building is positioned so as to obtain and output a current video recording frame;
the nearest neighbor interpolation device is connected with the full-color video recording device and used for receiving the current video recording frame and executing nearest neighbor interpolation processing on the current video recording frame to obtain a nearest neighbor interpolation image;
the inverse harmonic mean filtering equipment is connected with the nearest neighbor interpolation equipment and is used for executing inverse harmonic mean filtering processing on the received nearest neighbor interpolation image so as to obtain a corresponding inverse harmonic mean filtering image;
the dynamic range adjusting device is connected with the inverse harmonic mean filtering device and is used for executing dynamic range adjustment on the received inverse harmonic mean filtering image to obtain a dynamic range adjusting image;
a vertical sharpening device connected to the dynamic range adjusting device, for performing vertical sharpening on the received dynamic range adjusted image to obtain a vertical sharpened image;
the floor detection device is connected with the vertical sharpening device and is used for matching each floor area from the vertical sharpened image based on the outline of a single floor;
the height identification device is connected with the floor detection device and used for executing the following actions on each floor area: acquiring the quantity of each row of pixel points in the floor area, and determining the corresponding floor height based on the average value of the quantity of each row of pixel points in the floor area;
wherein, the determining of the corresponding floor height based on the average value of the number of the pixel points in each row of the floor area comprises: and the average value of the number of each row of pixel points in the floor area is positively correlated with the determined corresponding floor height.
Next, the detailed structure of the height deviation data identification system of the present invention will be further described.
The height deviation data identification system may further include:
and the quantity identification device is connected with the vertical sharpening device and used for receiving the vertical sharpened image and obtaining the quantity of the pixel points of each line of the vertical sharpened image to be used as the image length for output.
The height deviation data identification system may further include:
and the instant segmentation device is connected with the quantity recognition device and is used for determining the size of a fragment area for image segmentation in proportion to the image length and performing segmentation on the sharpened image in the vertical direction based on the determined fragment to obtain a plurality of sub-images.
The height deviation data identification system may further include:
and the GPU chip is connected with the instant segmentation equipment and is used for receiving each sub-image of the vertical sharpened image, sequencing the definitions of the sub-images from small to large to obtain a definition sequence, taking the definition corresponding to a central sequence number in the definition sequence as a reference balance value, and performing definition improvement processing on the sub-image with an object in the vertical sharpened image by using the reference definition, wherein the higher the reference definition is, the fewer the times of the definition improvement processing are performed.
The height deviation data identification system may further include:
and the data combination equipment is respectively connected with the floor detection equipment and the GPU chip and is used for carrying out image combination on the sub-image without the object in the vertical sharpened image and the processed blocks obtained after the definition improvement treatment is carried out on the sub-image with the object in the vertical sharpened image so as to obtain a current combined image corresponding to the vertical sharpened image, wherein one or more sub-images with the object in the vertical sharpened image are obtained, and one or more sub-images without the object in the vertical sharpened image are obtained.
In the height deviation data identification system:
the data combining device is further configured to send the current combined image to the floor detection device in place of the vertical sharpening image.
In the height deviation data identification system:
the GPU chip and the data combining device are disposed on the same printed circuit board.
In the height deviation data identification system:
the quantity identification device and the instant slicing device use the same quartz oscillation device to obtain clock signals with different frequencies.
Meanwhile, in order to overcome the defects, the invention also builds a height deviation data identification terminal, and the terminal comprises: a memory and a processor, the processor coupled to the memory;
wherein the memory is used for storing executable instructions of the processor;
the processor is used for calling the executable instructions in the memory so as to realize the method for carrying out on-site detection and numerical analysis on each floor height of the building to be detected by using the height deviation data identification system to identify whether the height deviation between floors exists.
In addition, a Graphics Processor (GPU), also called a display core, a visual processor, and a display chip, is a microprocessor dedicated to image operation on a personal computer, a workstation, a game machine, and some mobile devices (such as a tablet computer and a smart phone).
The graphic processor is used for converting and driving display information required by a computer system, providing a line scanning signal for the display and controlling the correct display of the display, is an important element for connecting the display and a personal computer mainboard, and is also one of important equipment for man-machine conversation. The display card is an important component in the computer host, takes charge of outputting display graphics, and is very important for people engaged in professional graphic design.
The processor of the graphics card is called the Graphics Processor (GPU), which is the "heart" of the graphics card, similar to the CPU, except that the GPU is designed specifically to perform the complex mathematical and geometric calculations necessary for graphics rendering. Some of the fastest GPUs integrate even more transistors than normal CPUs.
Most current GPUs have 2D or 3D graphics acceleration capabilities. If the CPU wants to draw a two-dimensional graph, only an instruction is sent to the GPU, for example, if a rectangle with the length and width of a multiplied by b is drawn at a coordinate position (x, y), the GPU can quickly calculate all pixels of the graph, draw a corresponding graph at a specified position on a display, inform the CPU that the graph is drawn completely after the graph is drawn completely, and then wait for the CPU to send a next graph instruction.
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 by the method for implementing the above embodiments may be implemented by hardware that is instructed to be associated with a program, which may be stored in a computer-readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. A height deviation data identification system, comprising:
the numerical analysis equipment is used for sending an altitude deviation signal when the deviation value from the altitude of a floor to the mean value of the altitudes of all floors exceeds the limit;
the numerical analysis equipment is also used for sending a height reliable signal when the deviation value from the height of a floor to the mean value of the heights of all floors does not exceed the limit;
the full-color video recording equipment is arranged on a triangular support in front of the building and is used for executing full-color video recording operation on a scene where the building is located so as to obtain and output a current video recording frame;
the nearest neighbor interpolation device is connected with the full-color video recording device and used for receiving the current video recording frame and executing nearest neighbor interpolation processing on the current video recording frame to obtain a nearest neighbor interpolation image;
the inverse harmonic mean filtering equipment is connected with the nearest neighbor interpolation equipment and is used for executing inverse harmonic mean filtering processing on the received nearest neighbor interpolation image so as to obtain a corresponding inverse harmonic mean filtering image;
the dynamic range adjusting device is connected with the inverse harmonic mean filtering device and is used for executing dynamic range adjustment on the received inverse harmonic mean filtering image to obtain a dynamic range adjusting image;
a vertical sharpening device connected to the dynamic range adjusting device, for performing vertical sharpening on the received dynamic range adjusted image to obtain a vertical sharpened image;
the floor detection device is connected with the vertical sharpening device and is used for matching each floor area from the vertical sharpened image based on the outline of a single floor;
the height identification device is connected with the floor detection device and used for executing the following actions on each floor area: acquiring the quantity of each row of pixel points in the floor area, and determining the corresponding floor height based on the average value of the quantity of each row of pixel points in the floor area;
wherein, determining the corresponding floor height based on the average value of the number of the pixel points in each row of the floor area comprises: and the average value of the number of each row of pixel points in the floor area is positively correlated with the determined corresponding floor height.
2. The height deviation data identification system according to claim 1, wherein said system further comprises:
and the quantity identification device is connected with the vertical sharpening device and used for receiving the vertical sharpened image and obtaining the quantity of the pixel points of each line of the vertical sharpened image to be output as the image length.
3. The height deviation data identification system according to claim 2, wherein said system further comprises:
and the instant segmentation device is connected with the quantity identification device and is used for determining the size of the area of the fragments for image segmentation in proportion to the length of the image and performing segmentation on the sharpened image in the vertical direction based on the determined fragments to obtain a plurality of sub-images.
4. The height deviation data identification system according to claim 3, wherein said system further comprises:
and the GPU chip is connected with the instant segmentation equipment and is used for receiving each sub-image of the vertical sharpened image, sequencing the definitions of the sub-images from small to large to obtain a definition sequence, taking the definition corresponding to a central sequence number in the definition sequence as a reference balance value, and performing definition improvement processing on the sub-image with an object in the vertical sharpened image by using the reference definition, wherein the higher the reference definition is, the fewer the times of the definition improvement processing are performed.
5. The height deviation data identification system according to claim 4, wherein said system further comprises:
and the data combination equipment is respectively connected with the floor detection equipment and the GPU chip and is used for carrying out image combination on the sub-image without the object in the vertical sharpened image and the processed blocks obtained after the definition improvement treatment is carried out on the sub-image with the object in the vertical sharpened image so as to obtain a current combined image corresponding to the vertical sharpened image, wherein one or more sub-images with the object in the vertical sharpened image are obtained, and one or more sub-images without the object in the vertical sharpened image are obtained.
6. The height deviation data identification system of claim 5, wherein:
the data combination device is further used for sending the current combined image to the floor detection device in place of the vertical sharpened image.
7. The height deviation data identification system of claim 6, wherein:
the GPU chip and the data combining device are disposed on the same printed circuit board.
8. The height deviation data identification system of claim 7, wherein:
the quantity identification device and the instant slicing device use the same quartz oscillation device to obtain clock signals with different frequencies.
9. A height deviation data identification terminal, the terminal comprising: a memory and a processor, the processor coupled to the memory;
the memory for storing executable instructions of the processor;
the processor for invoking executable instructions in the memory for implementing a method for using the height deviation data identification system according to any one of claims 1-8 for on-site inspection and numerical analysis of individual floor heights of a building to be inspected for identifying the presence of an inter-floor height deviation.
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| CN201910995819.9A CN112686832A (en) | 2019-10-18 | 2019-10-18 | Height deviation data identification system and corresponding terminal |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105279372A (en) * | 2015-09-29 | 2016-01-27 | 百度在线网络技术（北京）有限公司 | Building height computing method and apparatus |
| CN105719341A (en) * | 2016-01-18 | 2016-06-29 | 中科宇图科技股份有限公司 | Method for extracting building height from space remote-sensing image based on RPC model |
| CN107092877A (en) * | 2017-04-12 | 2017-08-25 | 武汉大学 | Remote sensing image roof contour extracting method based on basement bottom of the building vector |
| CN108596116A (en) * | 2018-04-27 | 2018-09-28 | 深圳市商汤科技有限公司 | Distance measuring method, intelligent control method and device, electronic equipment and storage medium |
| CN109781009A (en) * | 2019-01-11 | 2019-05-21 | 杨润琴 | Residential building data alarm mechanism |
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2019
- 2019-10-18 CN CN201910995819.9A patent/CN112686832A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105279372A (en) * | 2015-09-29 | 2016-01-27 | 百度在线网络技术（北京）有限公司 | Building height computing method and apparatus |
| CN105719341A (en) * | 2016-01-18 | 2016-06-29 | 中科宇图科技股份有限公司 | Method for extracting building height from space remote-sensing image based on RPC model |
| CN107092877A (en) * | 2017-04-12 | 2017-08-25 | 武汉大学 | Remote sensing image roof contour extracting method based on basement bottom of the building vector |
| CN108596116A (en) * | 2018-04-27 | 2018-09-28 | 深圳市商汤科技有限公司 | Distance measuring method, intelligent control method and device, electronic equipment and storage medium |
| CN109781009A (en) * | 2019-01-11 | 2019-05-21 | 杨润琴 | Residential building data alarm mechanism |
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