CN111241316A - Real-time building data query method - Google Patents

Real-time building data query method Download PDF

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Publication number
CN111241316A
CN111241316A CN201910198602.5A CN201910198602A CN111241316A CN 111241316 A CN111241316 A CN 111241316A CN 201910198602 A CN201910198602 A CN 201910198602A CN 111241316 A CN111241316 A CN 111241316A
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building
equipment
matrix
image
progress
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CN111241316B (en
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丁亮
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Linyi construction engineering construction drawing review Co.,Ltd.
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Taizhou Three Kay Engineering Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53Querying
    • G06F16/532Query formulation, e.g. graphical querying

Abstract

The invention relates to a building data real-time query method, which comprises the steps of using a building data real-time query device for determining one or more building markers existing on a building site on the basis of each benchmark building marker pattern corresponding to each building marker type name, and determining the current progress percentage on the basis of one or more building progress percentages respectively corresponding to the one or more building markers.

Description

Real-time building data query method
Technical Field
The invention relates to the field of house construction, in particular to a real-time query method for building data.
Background
A building is an entity that provides a user or investor with a life, production, work, or other activity at a planned design site. Building construction structures refer to the classification of building materials according to the main load bearing elements of the building, such as beams, columns, walls, etc. The purpose of the house structure design is to ensure that the constructed structure is safe and applicable, can meet the requirements of various expected functions within a specified age limit, and is economical and reasonable.
There are six categories of building structures: (1) steel structure: the main structure for load bearing is constructed of steel material, including a catenary structure. Such as steel plants, large stadiums, etc. (2) Steel, reinforced concrete structure: the main structure of the load bearing is built by steel and reinforced concrete. For example, a part of beam columns of a house are constructed by steel frameworks, and a part of beam columns are constructed by reinforced concrete frameworks. (3) A reinforced concrete structure: the main bearing structure is built by reinforced concrete, including thin shell structure, large formwork cast-in-situ structure and reinforced concrete built by using advanced construction methods such as sliding formwork lifting plate. (4) A mixed structure: the main structure of the load bearing is built by reinforced concrete and brick wood. For example, a house may have beams made of reinforced concrete and brick walls as load-bearing walls, or beams made of wood and columns constructed of reinforced concrete. The prefabricated reinforced concrete trabecula thin plate is used for raking and mixing the second grade, and the other is used for mixing the first grade. (5) The brick-wood structure: the main bearing structure is built by bricks and woods, for example, a house is built by a wood roof truss, brick walls and wood columns. The thickness of the gable wall and the front transverse wall on two sides (one row or the same one below) of the house is more than one brick, and the like; the gable walls on two sides of the house are more than one brick, the front transverse wall is half brick, plate wall, false wall or other single wall, the gable wall of the van is one brick, and the front wall of the van and the front wall of the front house are brick wood, and the other wall is brick wood; the gable walls at two sides of the house are loaded by wood frames and are filled by half brick walls or other false walls, or brick walls, wood roof frames, tile roofs, bamboo purlins and the like. (6) Other structures: building structures not belonging to the above structure fall into this category.
Disclosure of Invention
The invention has at least the following three important points:
(1) determining one or more building markers existing on the construction site on the basis of each benchmark building marker pattern corresponding to each building marker type name, and determining the current progress percentage on the basis of one or more building progress percentages respectively corresponding to the one or more building markers, thereby obtaining more effective building reference data;
(2) performing high-precision analysis on the electricity utilization grade of the equipment to be detected based on the voltage input per hour and the current input per hour of the power input terminal of the equipment to be detected by adopting a customized electricity utilization analysis mechanism;
(3) on the basis of performing the dynamic range lifting action on the image, wavelet filtering processing based on respective matrix contents is performed on a cyan matrix, a magenta matrix, a yellow matrix and a black matrix of the image, and the adaptive level of the wavelet filtering is improved.
According to an aspect of the present invention, there is provided a real-time query method for building data, the method including providing a real-time query device for building data for determining one or more building markers existing on site of a building site based on respective reference building marker patterns corresponding to respective building marker type names, and determining a current progress percentage based on one or more building progress percentages respectively corresponding to the one or more building markers, the real-time query device for building data including: the EDO DRAM memory chip is used for pre-storing each building marker type name, a benchmark building marker pattern corresponding to each building marker type name and a building progress percentage; instant snapshot equipment embeds there is the timer, carries out the snapshot operation to the building site in the place ahead every preset time interval to obtain the building site snapshot image that corresponds.
More specifically, in the real-time building data query device, the device further includes: and the real-time timing equipment is connected with the power utilization analysis equipment and is used for providing a timing reference signal for the power utilization analysis equipment.
More specifically, in the real-time building data query device, the device further includes: the power consumption analysis device is connected with a power input terminal of the instant snapshot device, the instant snapshot device is used for outputting the construction site snapshot image, and the power consumption analysis device is used for analyzing the power consumption level of the instant snapshot device based on the voltage input by the power input terminal every hour and the current input by the power input terminal every hour.
More specifically, in the real-time building data query device, the device further includes: and the link control equipment is arranged between the instant snapshot equipment and the range lifting equipment and is used for establishing a data link between the instant snapshot equipment and the range lifting equipment when the received power utilization level is greater than or equal to a preset level threshold value, and otherwise, interrupting the data link between the instant snapshot equipment and the range lifting equipment.
More specifically, in the real-time building data query device, the device further includes: the range lifting equipment is used for receiving the building site snapshot image, executing dynamic range lifting action on the building site snapshot image to obtain an image subjected to the dynamic range lifting action and outputting the image serving as a parameter lifting image; the matrix extraction device is connected with the range improvement device and is used for receiving the parameter improvement image and performing color space conversion on the parameter improvement image to obtain a cyan matrix, a magenta matrix, a yellow matrix and a black matrix of the parameter improvement image; a policy identification device connected to the matrix extraction device, for determining the number of times of performing wavelet filtering on the cyan matrix based on the mean square error of the cyan matrix, the number of times of performing wavelet filtering on the magenta matrix based on the mean square error of the magenta matrix, the number of times of performing wavelet filtering on the yellow matrix based on the mean square error of the yellow matrix, and the number of times of performing wavelet filtering on the black matrix based on the mean square error of the black matrix; the synchronous processing device is connected with the strategy identification device and is used for synchronously executing wavelet filtering of corresponding times on the cyan matrix, the magenta matrix, the yellow matrix and the black matrix so as to obtain four corresponding processed matrixes; the signal superposition equipment is connected with the synchronous processing equipment and is used for superposing the signals of the four processed matrixes to obtain a signal superposition image; and the pattern analysis equipment is connected with the signal superposition equipment and is used for respectively executing image matching operation on the signal superposition image based on each reference building marker pattern corresponding to each building marker type name so as to determine one or more building markers in the signal superposition image.
The real-time building data query device is visual in data and wide in application. The method comprises the steps of determining one or more building markers existing on the construction site based on each benchmark building marker pattern corresponding to each building marker type name, and determining the current progress percentage based on one or more building progress percentages respectively corresponding to the one or more building markers, so that more effective building reference data is obtained.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of an application scenario of a real-time query device for building data according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The construction progress plan is the key content of construction organization design, is the basis for controlling each construction activity such as engineering construction progress and engineering construction period, and whether the progress plan is reasonable or not directly influences the construction speed, cost and quality. Therefore, all the work of the construction organization design needs to be arranged by taking the construction progress as the center.
The most widely accepted form of construction progress record is a daily construction report, which is filled out on a daily basis by a resident project representative, or contractor quality control representative if in effect, even if no work is being done on a certain day of the construction site. Such reports are typically made as multiple copies or printed directly on copy paper to create the necessary multiple copies.
It is necessary to make daily reports as a project schedule record. The method is combined with the log of the project manager, and two types of independent document records are guaranteed. In this manner, the more proprietary information that is limited to being logged, the more realistic the construction progress in the daily construction progress report, as it reflects the more extensive and complete the information.
Currently, a general building progress splicing manager of a house judges by naked eyes, and the manual judgment mode has certain possibility of missing judgment and misjudgment, cannot determine one or more building markers on site of a building site based on each reference building marker pattern corresponding to each building marker type name, and cannot judge the current building progress of the house based on the one or more building markers, so that a progress judgment mechanism capable of replacing manual work is needed.
In order to overcome the defects, the invention builds a real-time query method for the building data, and the method comprises the steps of providing a real-time query device for the building data, determining one or more building markers existing on the site of a building site based on each reference building marker pattern corresponding to each building marker type name, and determining the current progress percentage based on one or more building progress percentages respectively corresponding to the one or more building markers. The real-time building data query device can effectively solve the corresponding technical problems.
Fig. 1 is a schematic view of an application scenario of a real-time query device for building data according to an embodiment of the present invention. Where 1 is the house of the data to be queried and 2 is the foundation.
The building data real-time inquiry device according to the embodiment of the invention comprises:
the EDO DRAM memory chip is used for pre-storing each building marker type name, a benchmark building marker pattern corresponding to each building marker type name and a building progress percentage;
instant snapshot equipment embeds there is the timer, carries out the snapshot operation to the building site in the place ahead every preset time interval to obtain the building site snapshot image that corresponds.
Next, a specific configuration of the real-time building data query apparatus according to the present invention will be further described.
The real-time building data query device further comprises:
and the real-time timing equipment is connected with the power utilization analysis equipment and is used for providing a timing reference signal for the power utilization analysis equipment.
The real-time building data query device further comprises:
the power consumption analysis device is connected with a power input terminal of the instant snapshot device, the instant snapshot device is used for outputting the construction site snapshot image, and the power consumption analysis device is used for analyzing the power consumption level of the instant snapshot device based on the voltage input by the power input terminal every hour and the current input by the power input terminal every hour.
The real-time building data query device further comprises:
and the link control equipment is arranged between the instant snapshot equipment and the range lifting equipment and is used for establishing a data link between the instant snapshot equipment and the range lifting equipment when the received power utilization level is greater than or equal to a preset level threshold value, and otherwise, interrupting the data link between the instant snapshot equipment and the range lifting equipment.
The real-time building data query device further comprises:
the range lifting equipment is used for receiving the building site snapshot image, executing dynamic range lifting action on the building site snapshot image to obtain an image subjected to the dynamic range lifting action and outputting the image serving as a parameter lifting image;
the matrix extraction device is connected with the range improvement device and is used for receiving the parameter improvement image and performing color space conversion on the parameter improvement image to obtain a cyan matrix, a magenta matrix, a yellow matrix and a black matrix of the parameter improvement image;
a policy identification device connected to the matrix extraction device, for determining the number of times of performing wavelet filtering on the cyan matrix based on the mean square error of the cyan matrix, the number of times of performing wavelet filtering on the magenta matrix based on the mean square error of the magenta matrix, the number of times of performing wavelet filtering on the yellow matrix based on the mean square error of the yellow matrix, and the number of times of performing wavelet filtering on the black matrix based on the mean square error of the black matrix;
the synchronous processing device is connected with the strategy identification device and is used for synchronously executing wavelet filtering of corresponding times on the cyan matrix, the magenta matrix, the yellow matrix and the black matrix so as to obtain four corresponding processed matrixes;
the signal superposition equipment is connected with the synchronous processing equipment and is used for superposing the signals of the four processed matrixes to obtain a signal superposition image;
the pattern analysis equipment is connected with the signal superposition equipment and is used for respectively performing image matching operation on the signal superposition image based on each reference building marker pattern corresponding to each building marker type name so as to determine one or more building markers in the signal superposition image;
a progress extraction device connected to the pattern analysis device, for performing the following actions for each building marker present in the signal overlay image: inquiring corresponding building progress percentage from the EDO DRAM memory chip;
the progress extraction equipment is further used for determining the current progress percentage based on one or more building progress percentages respectively corresponding to one or more building markers in the signal superposition image;
wherein, in the progress extraction device, determining the current progress percentage based on one or more building progress percentages respectively corresponding to one or more building markers present in the signal overlay image comprises: taking a maximum of the one or more building progress percentages as a current progress percentage;
wherein, in the policy identification device, determining the number of times wavelet filtering is performed on the cyan matrix based on the mean square error of the cyan matrix comprises: the larger the mean square error of the cyan matrix, the more times wavelet filtering is performed on the cyan matrix;
wherein, in the policy identification device, determining the number of times wavelet filtering is performed on the magenta matrix based on the mean square error of the magenta matrix includes: the larger the mean square error of the magenta matrix, the more times wavelet filtering is performed on the magenta matrix;
wherein, in the policy identification device, determining the number of times of performing wavelet filtering on the yellow matrix based on the mean square error of the yellow matrix comprises: the larger the mean square error of the yellow matrix, the more times wavelet filtering is performed on the yellow matrix;
wherein, in the policy identification device, determining the number of times wavelet filtering is performed on the black matrix based on the mean square error of the black matrix includes: the larger the mean square error of the black matrix is, the more times the wavelet filtering is performed on the black matrix is;
wherein, in the electricity analysis apparatus, performing analysis of the electricity usage level of the immediate capture apparatus based on the voltage input per hour and the current input per hour by the power input terminal includes: multiplying the voltage input every hour by the current input every hour to obtain power consumed every hour, and determining the power utilization level of corresponding instant snapshot equipment based on the power consumed every hour;
in the electricity consumption analysis device, the higher the power consumption per hour is, the higher the electricity consumption level of the corresponding instant snapshot device is.
The real-time building data query device further comprises:
and the field alarm equipment is connected with the interface detection equipment and is used for executing corresponding alarm operation based on the received data volume alarm signal or data volume early warning signal.
The real-time building data query device further comprises:
the interface detection device is connected with the input interface of the pattern analysis device, and is used for sending out a data volume early warning signal when the data volume received by the input interface of the pattern analysis device in the current unit time is less than one-half of the bandwidth of the input interface, and also used for sending out a data volume alarm signal when the data volume received by the input interface of the pattern analysis device in the current unit time is less than one-third of the bandwidth of the input interface.
The real-time building data query device further comprises:
and the association processing equipment is arranged at one side of the interface detection equipment, is connected with the interface detection equipment, and is used for triggering fault finding operation on the signal superposition equipment when the data volume early warning signal is received so as to obtain a corresponding fault code and output the fault code as a first code.
In the building data real-time query device:
the correlation processing equipment is also used for triggering fault finding operation of the progress extraction equipment when the data volume alarm signal is received so as to obtain a corresponding fault code and output the fault code as a second code, and simultaneously triggering fault finding operation of the signal superposition equipment so as to obtain a corresponding fault code and output the fault code as a first code;
the interface detection equipment is also used for sending out a data volume reliable signal when the data volume received by the input interface of the pattern analysis equipment in the current unit time is more than or equal to one half of the bandwidth of the input interface;
and when the correlation processing equipment receives the data volume reliable signal, stopping the fault finding operation of the signal superposition equipment or the progress extraction equipment.
In addition, the EDO (extended Data out) DRAM is 5% faster than the FPM because a logic circuit is provided in the EDO, whereby the EDO can read the next Data into the memory before the previous memory Data read is finished. EDODRAM designed as system memory is inherently very expensive, and is widely used in fifth generation PCs simply because the PC market is demanding a replacement for FPMDRAM. The EDO video memory can work at 75MHz or higher, but the standard working frequency is 66MHz, but the speed cannot meet the requirement of a display chip.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.

Claims (9)

1. A real-time building data query method, the method comprising providing a real-time building data query device for determining one or more building markers existing on site at a building site based on respective reference building marker patterns corresponding to respective building marker type names, and determining a current progress percentage based on one or more building progress percentages respectively corresponding to the one or more building markers, the real-time building data query device comprising:
the EDO DRAM memory chip is used for pre-storing each building marker type name, a benchmark building marker pattern corresponding to each building marker type name and a building progress percentage;
instant snapshot equipment embeds there is the timer, carries out the snapshot operation to the building site in the place ahead every preset time interval to obtain the building site snapshot image that corresponds.
2. The method of claim 1, wherein the apparatus further comprises:
and the real-time timing equipment is connected with the power utilization analysis equipment and is used for providing a timing reference signal for the power utilization analysis equipment.
3. The method of claim 2, wherein the apparatus further comprises:
the power consumption analysis device is connected with a power input terminal of the instant snapshot device, the instant snapshot device is used for outputting the construction site snapshot image, and the power consumption analysis device is used for analyzing the power consumption level of the instant snapshot device based on the voltage input by the power input terminal every hour and the current input by the power input terminal every hour.
4. The method of claim 3, wherein the apparatus further comprises:
and the link control equipment is arranged between the instant snapshot equipment and the range lifting equipment and is used for establishing a data link between the instant snapshot equipment and the range lifting equipment when the received power utilization level is greater than or equal to a preset level threshold value, and otherwise, interrupting the data link between the instant snapshot equipment and the range lifting equipment.
5. The method of claim 4, wherein the apparatus further comprises:
the range lifting equipment is used for receiving the building site snapshot image, executing dynamic range lifting action on the building site snapshot image to obtain an image subjected to the dynamic range lifting action and outputting the image serving as a parameter lifting image;
the matrix extraction device is connected with the range improvement device and is used for receiving the parameter improvement image and performing color space conversion on the parameter improvement image to obtain a cyan matrix, a magenta matrix, a yellow matrix and a black matrix of the parameter improvement image;
a policy identification device connected to the matrix extraction device, for determining the number of times of performing wavelet filtering on the cyan matrix based on the mean square error of the cyan matrix, the number of times of performing wavelet filtering on the magenta matrix based on the mean square error of the magenta matrix, the number of times of performing wavelet filtering on the yellow matrix based on the mean square error of the yellow matrix, and the number of times of performing wavelet filtering on the black matrix based on the mean square error of the black matrix;
the synchronous processing device is connected with the strategy identification device and is used for synchronously executing wavelet filtering of corresponding times on the cyan matrix, the magenta matrix, the yellow matrix and the black matrix so as to obtain four corresponding processed matrixes;
the signal superposition equipment is connected with the synchronous processing equipment and is used for superposing the signals of the four processed matrixes to obtain a signal superposition image;
the pattern analysis equipment is connected with the signal superposition equipment and is used for respectively performing image matching operation on the signal superposition image based on each reference building marker pattern corresponding to each building marker type name so as to determine one or more building markers in the signal superposition image;
a progress extraction device connected to the pattern analysis device, for performing the following actions for each building marker present in the signal overlay image: inquiring corresponding building progress percentage from the EDO DRAM memory chip;
the progress extraction equipment is further used for determining the current progress percentage based on one or more building progress percentages respectively corresponding to one or more building markers in the signal superposition image;
wherein, in the progress extraction device, determining the current progress percentage based on one or more building progress percentages respectively corresponding to one or more building markers present in the signal overlay image comprises: taking a maximum of the one or more building progress percentages as a current progress percentage;
wherein, in the policy identification device, determining the number of times wavelet filtering is performed on the cyan matrix based on the mean square error of the cyan matrix comprises: the larger the mean square error of the cyan matrix, the more times wavelet filtering is performed on the cyan matrix;
wherein, in the policy identification device, determining the number of times wavelet filtering is performed on the magenta matrix based on the mean square error of the magenta matrix includes: the larger the mean square error of the magenta matrix, the more times wavelet filtering is performed on the magenta matrix;
wherein, in the policy identification device, determining the number of times of performing wavelet filtering on the yellow matrix based on the mean square error of the yellow matrix comprises: the larger the mean square error of the yellow matrix, the more times wavelet filtering is performed on the yellow matrix;
wherein, in the policy identification device, determining the number of times wavelet filtering is performed on the black matrix based on the mean square error of the black matrix includes: the larger the mean square error of the black matrix is, the more times the wavelet filtering is performed on the black matrix is;
wherein, in the electricity analysis apparatus, performing analysis of the electricity usage level of the immediate capture apparatus based on the voltage input per hour and the current input per hour by the power input terminal includes: multiplying the voltage input every hour by the current input every hour to obtain power consumed every hour, and determining the power utilization level of corresponding instant snapshot equipment based on the power consumed every hour;
in the electricity consumption analysis device, the higher the power consumption per hour is, the higher the electricity consumption level of the corresponding instant snapshot device is.
6. The method of claim 5, wherein the apparatus further comprises:
and the field alarm equipment is connected with the interface detection equipment and is used for executing corresponding alarm operation based on the received data volume alarm signal or data volume early warning signal.
7. The method of claim 6, wherein the apparatus further comprises:
the interface detection device is connected with the input interface of the pattern analysis device, and is used for sending out a data volume early warning signal when the data volume received by the input interface of the pattern analysis device in the current unit time is less than one-half of the bandwidth of the input interface, and also used for sending out a data volume alarm signal when the data volume received by the input interface of the pattern analysis device in the current unit time is less than one-third of the bandwidth of the input interface.
8. The method of claim 7, wherein the apparatus further comprises:
and the association processing equipment is arranged at one side of the interface detection equipment, is connected with the interface detection equipment, and is used for triggering fault finding operation on the signal superposition equipment when the data volume early warning signal is received so as to obtain a corresponding fault code and output the fault code as a first code.
9. The method of claim 8, wherein:
the correlation processing equipment is also used for triggering fault finding operation of the progress extraction equipment when the data volume alarm signal is received so as to obtain a corresponding fault code and output the fault code as a second code, and simultaneously triggering fault finding operation of the signal superposition equipment so as to obtain a corresponding fault code and output the fault code as a first code;
the interface detection equipment is also used for sending out a data volume reliable signal when the data volume received by the input interface of the pattern analysis equipment in the current unit time is more than or equal to one half of the bandwidth of the input interface;
and when the correlation processing equipment receives the data volume reliable signal, stopping the fault finding operation of the signal superposition equipment or the progress extraction equipment.
CN201910198602.5A 2019-03-15 2019-03-15 Real-time query device for building data Active CN111241316B (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103428448A (en) * 2012-05-23 2013-12-04 杭州美盛红外光电技术有限公司 Infrared shooting device and infrared shooting method
CN104794162A (en) * 2015-03-25 2015-07-22 中国人民大学 Real-time data storage and query method
CN107464055A (en) * 2017-08-01 2017-12-12 贺州学院 Schedule estimation method and device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103428448A (en) * 2012-05-23 2013-12-04 杭州美盛红外光电技术有限公司 Infrared shooting device and infrared shooting method
CN104794162A (en) * 2015-03-25 2015-07-22 中国人民大学 Real-time data storage and query method
CN107464055A (en) * 2017-08-01 2017-12-12 贺州学院 Schedule estimation method and device

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