CN114418555B - Project information management method and system applied to intelligent construction - Google Patents

Project information management method and system applied to intelligent construction Download PDF

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Publication number
CN114418555B
CN114418555B CN202210308354.7A CN202210308354A CN114418555B CN 114418555 B CN114418555 B CN 114418555B CN 202210308354 A CN202210308354 A CN 202210308354A CN 114418555 B CN114418555 B CN 114418555B
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construction progress
project
video
progress acquisition
acquisition
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CN114418555A (en
Inventor
白皓
黄军
何刚
廖知勇
江勇顺
兰富安
魏瑞
徐海铭
王世法
黄伟
何富勇
黄河
许国敏
张馨月
刘波
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Sichuan Expressway Construction And Development Group Co ltd
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Sichuan Expressway Construction And Development Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7847—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Abstract

The invention provides a project information management method and a project information management system applied to intelligent construction, and relates to the technical field of information management. In the invention, aiming at each project information acquisition terminal device, a project construction progress acquisition video acquired by the project information acquisition terminal device for a corresponding construction area is acquired; aiming at each project construction progress acquisition video, carrying out similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain corresponding video frame similarity; and acquiring videos aiming at each project construction progress, screening the multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos based on the video frame similarity corresponding to the project construction progress acquisition videos, and obtaining corresponding target project construction progress acquisition videos. Based on the method, the problem that the management effect on the construction project information in the prior art is poor can be solved.

Description

Project information management method and system applied to intelligent construction
Technical Field
The invention relates to the technical field of information management, in particular to a project information management method and a project information management system applied to intelligent construction.
Background
In order to standardize and unify the informatization management level of construction projects (such as highway construction projects and the like) and improve the successful sharing and consistency of informatization of each construction project, the collection or effective storage of the construction project information is an important technical means. For example, information acquisition may be performed on a construction project through the information acquisition terminal device, for example, in order to monitor the progress of the construction project, video monitoring may be performed to obtain a corresponding construction progress video. However, in the prior art, after the construction progress video is acquired, all the construction progress videos are stored, which may cause excessive consumption of storage resources, that is, a problem of poor management effect on the construction progress videos.
Disclosure of Invention
In view of the above, the present invention provides a project information management method and a project information management system for intelligent construction, so as to solve the problem of poor management effect on construction project information.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a project information management method applied to intelligent construction is applied to a project information management server, the project information management server is in communication connection with a plurality of project information acquisition terminal devices, and the project information management method applied to intelligent construction comprises the following steps:
acquiring a project construction progress acquisition video acquired by the project information acquisition terminal equipment for a corresponding construction area aiming at each project information acquisition terminal equipment in the project information acquisition terminal equipment, wherein the project information acquisition terminal equipment corresponds to the construction areas one by one, and each project construction progress acquisition video comprises a multi-frame construction progress acquisition video frame;
acquiring a video for each project construction progress in a plurality of project construction progress acquisition videos corresponding to the plurality of project information acquisition terminal devices, and performing similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos to obtain corresponding video frame similarity;
and screening and processing multi-frame construction progress acquisition video frames included by the project construction progress acquisition video based on the video frame similarity corresponding to the project construction progress acquisition video to obtain a target project construction progress acquisition video corresponding to the project construction progress acquisition video, wherein the frame number of the construction progress acquisition video frames included by each target project construction progress acquisition video is less than or equal to the frame number of the construction progress acquisition video frames included by the corresponding project construction progress acquisition video.
In some preferred embodiments, in the project information management method applied to intelligent construction, the step of acquiring, for each of the plurality of project information acquisition terminal devices, a project construction progress acquisition video acquired by the project information acquisition terminal device for a corresponding construction area includes:
determining whether construction progress information acquisition processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information acquisition terminal devices, generating progress acquisition notification information when it is determined that the construction progress information acquisition processing needs to be performed on the plurality of construction areas corresponding to the plurality of project information acquisition terminal devices, and respectively sending the progress acquisition notification information to each of the plurality of project information acquisition terminal devices, wherein each of the plurality of project information acquisition terminal devices is used for acquiring information of the corresponding construction area after receiving the progress acquisition notification information, so as to obtain a project construction progress acquisition video;
and acquiring a project construction progress acquisition video acquired by the project information acquisition terminal equipment on the basis of the progress acquisition notification information for each project information acquisition terminal equipment in the plurality of project information acquisition terminal equipment in a corresponding construction area.
In some preferred embodiments, in the project information management method applied to intelligent construction, the step of determining whether construction progress information collection processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information collection terminal devices, and when it is determined that construction progress information collection processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information collection terminal devices, generating progress collection notification information, and sending the progress collection notification information to each of the plurality of project information collection terminal devices respectively includes:
judging whether a construction progress management instruction generated in response to construction progress management operation performed by a corresponding construction progress management user is received or not, and determining that construction progress information acquisition processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information acquisition terminal devices when the construction progress management instruction is received, or determining that construction progress information acquisition processing does not need to be performed on the plurality of construction areas when the construction progress management instruction is not received;
and when the plurality of construction areas need to be constructed, generating progress acquisition notification information, and respectively sending the progress acquisition notification information to each of the plurality of project information acquisition terminal devices.
In some preferred embodiments, in the project information management method applied to intelligent construction, the step of calculating similarity of multiple frames of construction progress captured video frames included in the project construction progress captured video for each of the multiple project construction progress captured videos corresponding to the multiple project information captured terminal devices to obtain the similarity of corresponding video frames includes:
aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, carrying out similarity calculation on each two frames of construction progress acquisition video frames in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition videos to obtain the inter-frame similarity between each two frames of construction progress acquisition video frames;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, performing mean value calculation on interframe similarity between every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain an interframe similarity mean value corresponding to the project construction progress acquisition video, and performing dispersion calculation on interframe similarity between every two frame construction progress acquisition video frames in the plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video based on the interframe similarity mean value to obtain an interframe similarity dispersion value corresponding to the project construction progress acquisition video;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining a first discrete coefficient corresponding to the project construction progress acquisition video based on an interframe similarity discrete value corresponding to the project construction progress acquisition video, wherein the first discrete coefficient and the interframe similarity discrete value have a negative correlation relationship;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining the video frame similarity corresponding to the project construction progress acquisition video based on the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the interframe similarity mean value have positive correlation, and the video frame similarity and the first discrete coefficient have positive correlation.
In some preferred embodiments, in the project information management method applied to intelligent construction, the step of calculating similarity of each two frames of construction progress captured video frames in the multiple frames of construction progress captured video frames included in the project construction progress captured video to obtain the inter-frame similarity between each two frames of construction progress captured video frames includes:
acquiring a video of each project construction progress in a plurality of project construction progress acquisition videos corresponding to the plurality of project information acquisition terminal devices, and determining and processing a similarity coefficient of the project construction progress acquisition video to obtain a similarity coefficient corresponding to the project construction progress acquisition video;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, carrying out similarity calculation on every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain the similarity between every two frame construction progress acquisition video frames, and respectively determining a frame time sequence difference value between every two frame construction progress acquisition video frames;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, calculating to obtain the interframe similarity between every two frames of construction progress acquisition video frames included in the project construction progress acquisition video based on the similarity coefficient corresponding to the project construction progress acquisition video, the ratio of the frame time sequence difference value between every two frames of construction progress acquisition video frames to a pre-configured time sequence difference value threshold value and the similarity between every two frames of construction progress acquisition video frames.
In some preferred embodiments, in the above project information management method applied to intelligent construction, the similarity coefficient determination process includes:
decomposing a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition video into a first video frame set and a second video frame set, wherein the first video frame set includes a plurality of frames of construction progress acquisition video frames, and the second video frame set includes a plurality of frames of construction progress acquisition video frames;
based on a first user set having a binding relationship with the first video frame set, performing user identification processing on construction progress acquisition video frames included in the first video frame set to obtain a second user set corresponding to the first video frame set, wherein the second user set belongs to a subset of the first user set, and the first user set is determined based on constructors of a construction area corresponding to a corresponding project construction progress acquisition video;
for each target constructor in the second user set, determining each frame of related video frames corresponding to the target constructor in the construction progress acquisition video frames included in the second video frame set, and calculating an average value of similarity between every two frames of related video frames corresponding to the target constructor to obtain a first similarity coefficient corresponding to the target constructor, wherein each frame of related video frames has a corresponding target construction user, and when the number of frames of any one of related video frames corresponding to the target constructor is smaller than a preset frame number threshold, the first similarity coefficient corresponding to the target constructor is assigned to be 0;
counting the number of frames of a relevant video frame corresponding to each target constructor in the second user set to obtain the number of occurrences corresponding to the target constructor, and respectively determining a similarity weighting coefficient corresponding to each target constructor based on the number of occurrences corresponding to each target constructor in the second user set;
and performing weighted summation calculation on the first similarity coefficient corresponding to each target construction person based on the similarity weighting coefficient corresponding to each target construction person in the second user set to obtain a similarity coefficient corresponding to the project construction progress acquisition video.
In some preferred embodiments, in the project information management method applied to intelligent construction, the step of determining the video frame similarity corresponding to the project construction progress captured video based on the inter-frame similarity mean value corresponding to the project construction progress captured video and the first discrete coefficient corresponding to the project construction progress captured video for each of the plurality of project construction progress captured videos includes:
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, calculating the product between the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining the video frame similarity corresponding to the project construction progress acquisition video based on the product of the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the product have positive correlation.
In some preferred embodiments, in the project information management method applied to intelligent construction, the step of obtaining a target project construction progress collected video corresponding to the project construction progress collected video includes:
for each project construction progress acquisition video in the project construction progress acquisition videos, respectively carrying out similarity calculation on every two adjacent frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain inter-frame similarity between every two adjacent frame construction progress acquisition video frames, and determining the relative size relationship between the inter-frame similarity and the video frame similarity corresponding to the project construction progress acquisition video;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, screening every two adjacent frame construction progress acquisition video frames of which the inter-frame similarity is greater than or equal to the corresponding video frame similarity included in the project construction progress acquisition video, and obtaining a target project construction progress acquisition video corresponding to the project construction progress acquisition video.
The embodiment of the invention also provides a project information management system applied to intelligent construction, which is applied to a project information management server, wherein the project information management server is in communication connection with a plurality of project information acquisition terminal devices, and the project information management system applied to intelligent construction comprises:
the video acquisition module is used for acquiring project construction progress acquisition videos acquired by the project information acquisition terminal equipment for corresponding construction areas aiming at each project information acquisition terminal equipment in the project information acquisition terminal equipment, wherein the project information acquisition terminal equipment corresponds to the construction areas one by one, and each project construction progress acquisition video comprises a multi-frame construction progress acquisition video frame;
the similarity calculation module is used for acquiring videos of each project construction progress in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, and performing similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos to obtain corresponding video frame similarities;
the video screening module is used for screening and processing multi-frame construction progress acquisition video frames included in the project construction progress acquisition video aiming at each project construction progress acquisition video in the project construction progress acquisition videos to obtain a target project construction progress acquisition video corresponding to the project construction progress acquisition video based on the similarity of video frames corresponding to the project construction progress acquisition video, wherein the frame number of the construction progress acquisition video frames included in the target project construction progress acquisition video is less than or equal to the frame number of the construction progress acquisition video frames included in the corresponding project construction progress acquisition video.
In some preferred embodiments, in the project information management system applied to intelligent construction, the similarity calculating module is specifically configured to:
aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, carrying out similarity calculation on each two frames of construction progress acquisition video frames in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition videos to obtain the inter-frame similarity between each two frames of construction progress acquisition video frames;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, performing mean value calculation on interframe similarity between every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain an interframe similarity mean value corresponding to the project construction progress acquisition video, and performing dispersion calculation on interframe similarity between every two frame construction progress acquisition video frames in the plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video based on the interframe similarity mean value to obtain an interframe similarity dispersion value corresponding to the project construction progress acquisition video;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining a first discrete coefficient corresponding to the project construction progress acquisition video based on an interframe similarity discrete value corresponding to the project construction progress acquisition video, wherein the first discrete coefficient and the interframe similarity discrete value have a negative correlation relationship;
the method comprises the steps of acquiring videos of each project construction progress in the project construction progress acquisition videos, determining video frame similarity corresponding to the project construction progress acquisition videos based on an interframe similarity mean value corresponding to the project construction progress acquisition videos and a first discrete coefficient corresponding to the project construction progress acquisition videos, wherein positive correlation is formed between the video frame similarity and the interframe similarity mean value, and positive correlation is formed between the video frame similarity and the first discrete coefficient.
According to the project information management method and system applied to intelligent construction, provided by the embodiment of the invention, project construction progress acquisition videos acquired by project information acquisition terminal equipment for corresponding construction areas can be obtained firstly for each project information acquisition terminal equipment, then, videos can be acquired for each project construction progress, similarity calculation is carried out on multi-frame construction progress acquisition video frames included by the project construction progress acquisition videos to obtain corresponding video frame similarities, so that the videos can be acquired for each project construction progress, the multi-frame construction progress acquisition video frames included by the project construction progress acquisition videos are screened and processed based on the video frame similarities corresponding to the project construction progress acquisition videos, and the corresponding target project construction progress acquisition videos are obtained. Based on this, because the frame number of the construction progress acquisition video frame that each target project construction progress acquisition video includes is less than or equal to the frame number of the construction progress acquisition video frame that the corresponding project construction progress acquisition video includes, make the frame number of the construction progress acquisition video frame that can reduce to a certain extent and need save, thereby reduce the consumption to storage resource, make the management effect of acquiring the video frame to the construction progress can the preferred, thereby improve the not good problem of management effect to the construction project information among the prior art.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a block diagram of a project information management server according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart of steps included in the project information management method applied to intelligent construction according to the embodiment of the present invention.
Fig. 3 is a schematic diagram of modules included in the project information management system applied to intelligent construction according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a project information management server. Wherein the project information management server may include a memory and a processor.
In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have stored therein at least one software function (computer program) which can be present in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the project information management method applied to intelligent construction provided by an embodiment of the present invention (described below).
By way of example, in some specific application examples, the Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
Also, the structure shown in fig. 1 is only an illustration, and the project information management server may further include more or fewer components than those shown in fig. 1, or have a different configuration from that shown in fig. 1, for example, may include a communication unit for information interaction with other devices.
With reference to fig. 2, an embodiment of the present invention further provides a project information management method applied to intelligent construction, which is applicable to the project information management server. The method steps defined by the flow related to the project information management method applied to the intelligent construction can be realized by the project information management server. The project information management server is in communication connection with a plurality of project information acquisition terminal devices (such as image acquisition devices). The flow shown in fig. 2 will be described in detail below.
Step S110 is to acquire, for each of the plurality of project information acquisition terminal devices, a project construction progress acquisition video acquired by the project information acquisition terminal device for the corresponding construction area.
In the embodiment of the present invention, the project information management server may acquire, for each of the plurality of project information acquisition terminal devices, a project construction progress acquisition video acquired by the project information acquisition terminal device for a corresponding construction area. The project information acquisition terminal devices correspond to the plurality of construction areas one by one, and each project construction progress acquisition video comprises a plurality of frames of construction progress acquisition video frames.
Step S120, aiming at each project construction progress acquisition video in the project construction progress acquisition videos corresponding to the project information acquisition terminal devices, carrying out similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos to obtain corresponding video frame similarity.
In the embodiment of the present invention, the project information management server may acquire a video for each project construction progress in a plurality of project construction progress acquisition videos corresponding to the plurality of project information acquisition terminal devices, and perform similarity calculation on a plurality of frames of the project construction progress acquisition video included in the project construction progress acquisition video to obtain a corresponding video frame similarity.
Step S130, aiming at each project construction progress acquisition video in the project construction progress acquisition videos, screening and processing multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos based on the video frame similarity corresponding to the project construction progress acquisition videos to obtain target project construction progress acquisition videos corresponding to the project construction progress acquisition videos.
In the embodiment of the present invention, the project information management server may acquire a video for each project construction progress in the plurality of project construction progress acquisition videos, and perform screening processing on a plurality of frames of the project construction progress acquisition video included in the project construction progress acquisition video based on the similarity of video frames corresponding to the project construction progress acquisition video, to obtain a target project construction progress acquisition video corresponding to the project construction progress acquisition video. The frame number of the construction progress acquisition video frame included in each target project construction progress acquisition video is less than or equal to the frame number of the construction progress acquisition video frame included in the corresponding project construction progress acquisition video.
Based on the method, the project construction progress acquisition video acquired by the project information acquisition terminal device for the corresponding construction area can be acquired for each project information acquisition terminal device, then the video can be acquired for each project construction progress, the similarity calculation is carried out on the multi-frame construction progress acquisition video frames included by the project construction progress acquisition video, the corresponding video frame similarity is obtained, so that the video can be acquired for each project construction progress, the video frame similarity corresponding to the project construction progress acquisition video is obtained, the multi-frame construction progress acquisition video frames included by the project construction progress acquisition video are screened, and the corresponding target project construction progress acquisition video is obtained. So, because the frame number that the construction progress collection video frame that each target project construction progress collection video included is less than or equal to the frame number that the construction progress collection video frame that corresponding project construction progress collection video included for can reduce the frame number that the construction progress collection video frame that needs the storage to a certain extent, thereby reduce the consumption to storage resource, make can the preferred to the management effect of construction progress collection video frame, thereby improve the not good problem of management effect to the construction project information among the prior art.
Illustratively, in some specific application examples, the step S110 in the above example may further include the following sub-steps:
the method comprises the steps of firstly, determining whether construction progress information acquisition processing needs to be carried out on a plurality of construction areas corresponding to a plurality of project information acquisition terminal devices, generating progress acquisition notification information when the construction progress information acquisition processing needs to be carried out on the plurality of construction areas corresponding to the plurality of project information acquisition terminal devices, and respectively sending the progress acquisition notification information to each of the plurality of project information acquisition terminal devices, wherein each of the plurality of project information acquisition terminal devices is used for carrying out information acquisition on the corresponding construction area after receiving the progress acquisition notification information, so as to obtain a project construction progress acquisition video;
and secondly, acquiring a project construction progress acquisition video acquired by the project information acquisition terminal equipment on the basis of the progress acquisition notification information for each project information acquisition terminal equipment in the plurality of project information acquisition terminal equipment in a corresponding construction area.
In some specific application examples, the step of determining whether or not the construction progress information collection processing needs to be performed on the plurality of construction areas corresponding to the plurality of project information collection terminal devices, and generating progress collection notification information and sending the progress collection notification information to each of the plurality of project information collection terminal devices when it is determined that the construction progress information collection processing needs to be performed on the plurality of construction areas corresponding to the plurality of project information collection terminal devices in the above examples may further include the following sub-steps:
the method comprises the steps that firstly, whether a construction progress management instruction generated by construction progress management operation conducted by a corresponding construction progress management user is received or not is judged, and when the construction progress management instruction is received, it is determined that construction progress information collection processing needs to be conducted on a plurality of construction areas corresponding to a plurality of project information collection terminal devices, or when the construction progress management instruction is not received, it is determined that construction progress information collection processing does not need to be conducted on the plurality of construction areas;
and secondly, generating progress acquisition notification information when the plurality of construction areas need to be subjected to construction progress information acquisition processing, and respectively sending the progress acquisition notification information to each of the plurality of project information acquisition terminal devices.
Illustratively, in some specific application examples, the step S120 in the above example may further include the following sub-steps:
the method comprises the steps that firstly, a video is acquired according to each project construction progress in a plurality of project construction progress acquisition videos corresponding to a plurality of project information acquisition terminal devices, similarity calculation is carried out on every two frames of construction progress acquisition video frames in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition videos, and inter-frame similarity between every two frames of construction progress acquisition video frames is obtained;
secondly, aiming at each project construction progress acquisition video in the project construction progress acquisition videos, performing mean value calculation on interframe similarity between every two frame construction progress acquisition video frames in multi-frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain an interframe similarity mean value corresponding to the project construction progress acquisition video, and performing dispersion calculation on interframe similarity between every two frame construction progress acquisition video frames in the multi-frame construction progress acquisition video frames included in the project construction progress acquisition video based on the interframe similarity mean value to obtain an interframe similarity dispersion value corresponding to the project construction progress acquisition video;
thirdly, acquiring a video aiming at each project construction progress in the project construction progress acquisition videos, and determining a first discrete coefficient corresponding to the project construction progress acquisition video based on an interframe similarity discrete value corresponding to the project construction progress acquisition video, wherein the first discrete coefficient and the interframe similarity discrete value have a negative correlation relationship;
and fourthly, aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining the video frame similarity corresponding to the project construction progress acquisition video based on the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the interframe similarity mean value have positive correlation, and the video frame similarity and the first discrete coefficient have positive correlation.
In some specific application examples, in the above example, the step of calculating the similarity of each two frames of the construction progress collected video frames in the multiple frame construction progress collected video frames included in the project construction progress collected video to obtain the inter-frame similarity between each two frames of the construction progress collected video frames further includes the following sub-steps:
the method comprises the steps that firstly, a similarity coefficient determining process is carried out on each project construction progress acquisition video in a plurality of project construction progress acquisition videos corresponding to a plurality of project information acquisition terminal devices, and the similarity coefficient corresponding to the project construction progress acquisition videos is obtained;
secondly, aiming at each project construction progress acquisition video in the project construction progress acquisition videos, carrying out similarity calculation on each two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain the similarity between each two frame construction progress acquisition video frames, and respectively determining a frame time sequence difference value between each two frame construction progress acquisition video frames;
and thirdly, acquiring a video aiming at each project construction progress in the plurality of project construction progress acquisition videos, and calculating (for example, calculating the similarity coefficient, the product of the ratio and the similarity and the like) to obtain the inter-frame similarity between every two frames of the project construction progress acquisition video based on the similarity coefficient corresponding to the project construction progress acquisition video, the ratio of the frame time sequence difference value between every two frames of the project construction progress acquisition video frames to a preset time sequence difference value threshold value, and the similarity between every two frames of the project construction progress acquisition video frames.
For example, in some specific application examples, the similarity coefficient determination processing in the above example may further include the following sub-steps:
decomposing (can be arbitrarily decomposed) a multi-frame construction progress acquisition video frame included in the project construction progress acquisition video into a first video frame set and a second video frame set, wherein the first video frame set includes multi-frame construction progress acquisition video frames, and the second video frame set includes multi-frame construction progress acquisition video frames;
secondly, based on a first user set having a binding relationship with the first video frame set, performing user identification processing on construction progress acquisition video frames included in the first video frame set to obtain a second user set corresponding to the first video frame set, wherein the second user set belongs to a subset of the first user set, and the first user set is determined based on constructors of a construction area corresponding to a corresponding project construction progress acquisition video;
thirdly, determining each frame of related video frames corresponding to the target construction personnel in the construction progress acquisition video frames included in the second video frame set for each target construction personnel in the second user set, and calculating an average value of the similarity between each two frames of related video frames corresponding to the target construction personnel to obtain a first similarity coefficient corresponding to the target construction personnel, wherein each frame of related video frames has a corresponding target construction user, and when the frame number of any one related video frame corresponding to the target construction personnel is smaller than a preset frame number threshold value, the first similarity coefficient corresponding to the target construction personnel is assigned to be 0;
fourthly, counting the number of frames of the relevant video frames corresponding to each target constructor in the second user set to obtain the number of occurrences corresponding to the target constructor, and respectively determining the similarity weighting coefficient corresponding to each target constructor based on the number of occurrences corresponding to each target constructor in the second user set;
and fifthly, based on the similarity weighting coefficient corresponding to each target construction person in the second user set, performing weighted summation calculation on the first similarity coefficient corresponding to each target construction person to obtain a similarity coefficient corresponding to the project construction progress acquisition video.
In some specific application examples, the similarity coefficient determining process in the above example may further include the following sub-steps:
the method comprises the steps of firstly, obtaining a first user set having a binding relationship with a project construction progress acquisition video, and respectively carrying out user identification processing on multiple frames of construction progress acquisition video frames included in the project construction progress acquisition video based on the first user set to obtain an identification user set corresponding to the project construction progress acquisition video, wherein the identification user set belongs to a subset of the first user set, and the first user set is determined based on constructors of a construction area corresponding to the project construction progress acquisition video;
secondly, aiming at each frame of construction progress acquisition video frame in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition video, determining an identification user corresponding to the construction progress acquisition video frame in the identification user set, and constructing and obtaining an identification user subset corresponding to the construction progress acquisition video frame based on the identification user;
thirdly, aiming at each two frames of construction progress acquisition video frames in the multi-frame construction progress acquisition video frames, calculating the set contact ratio (namely the number of the same identification users) between the identification user subsets corresponding to the two frames of construction progress acquisition video frames, and determining whether the two frames of construction progress acquisition video frames are mutually used as corresponding related construction progress acquisition video frames or not based on the relative size relationship between the set contact ratio and a preset set contact ratio threshold value;
fourthly, acquiring a video frame aiming at each frame construction progress in the multi-frame construction progress acquisition video frames, and constructing and obtaining a related video frame sequence corresponding to the construction progress acquisition video frame (for example, the smaller the time sequence difference value, the earlier in the sequence, and the like) based on each frame related construction progress acquisition video frame corresponding to the construction progress acquisition video frame, and the time sequence difference value between the video frame time sequence corresponding to each frame related construction progress acquisition video frame and the video frame time sequence corresponding to the construction progress acquisition video frame;
fifthly, acquiring a video frame according to each frame of construction progress in the multi-frame construction progress acquisition video frames, determining a weighting coefficient of each frame of relevant construction progress acquisition video frame based on the sequence position of each frame of relevant construction progress acquisition video frame in a relevant video frame sequence corresponding to the construction progress acquisition video frame, and performing weighted summation calculation on the set overlap ratio between each frame of relevant construction progress acquisition video frame and the identified user subset corresponding to the construction progress acquisition video frame based on the weighting coefficient of each frame of relevant construction progress acquisition video frame (for example, the more the sequence position is, the larger the corresponding weighting coefficient can be), so as to obtain the weighted overlap ratio corresponding to the construction progress acquisition video frame;
and sixthly, performing fusion processing (such as average value calculation) on the weighted overlap ratio corresponding to each frame of the multiple frames of the construction progress acquisition video frames included in the project construction progress acquisition video to obtain a similarity coefficient corresponding to the project construction progress acquisition video.
In some specific application examples, in the above example, the step of determining the similarity of the video frames corresponding to the project construction progress captured video based on the inter-frame similarity mean value corresponding to the project construction progress captured video and the first discrete coefficient corresponding to the project construction progress captured video for each of the plurality of project construction progress captured videos may further include the following sub-steps:
the method comprises the steps that firstly, aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos, and calculating the product between the interframe similarity mean value corresponding to the project construction progress acquisition video and a first discrete coefficient corresponding to the project construction progress acquisition video;
and secondly, acquiring a video for each project construction progress in the project construction progress acquisition videos, and determining the video frame similarity corresponding to the project construction progress acquisition video based on the product of the inter-frame similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the product have positive correlation (for example, the product can be directly used as the video frame similarity).
Illustratively, in some specific application examples, the step S130 in the above example may further include the following sub-steps:
the method comprises the steps that firstly, for each project construction progress acquisition video in a plurality of project construction progress acquisition videos, similarity calculation is carried out on every two adjacent frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video respectively to obtain inter-frame similarity between every two adjacent frame construction progress acquisition video frames, and the relative size relationship between the inter-frame similarity and the video frame similarity corresponding to the project construction progress acquisition video is determined;
and secondly, aiming at each project construction progress acquisition video in the project construction progress acquisition videos, screening every two adjacent frame construction progress acquisition video frames of which the inter-frame similarity is greater than or equal to the similarity of the corresponding video frames, wherein the frame-to-frame similarity is included in the project construction progress acquisition video (for example, screening out the previous frame or the next frame in the corresponding two adjacent frame construction progress acquisition video frames, and the like), and obtaining a target project construction progress acquisition video corresponding to the project construction progress acquisition video.
With reference to fig. 3, an embodiment of the present invention further provides a project information management system applied to intelligent construction, which is applicable to the project information management server. The project information management system applied to intelligent construction can comprise the following modules:
the video acquisition module is used for acquiring project construction progress acquisition videos acquired by the project information acquisition terminal equipment for corresponding construction areas aiming at each project information acquisition terminal equipment in the project information acquisition terminal equipment, wherein the project information acquisition terminal equipment corresponds to the construction areas one by one, and each project construction progress acquisition video comprises a multi-frame construction progress acquisition video frame;
the similarity calculation module is used for acquiring videos of each project construction progress in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, and performing similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos to obtain corresponding video frame similarities;
the video screening module is used for screening and processing multi-frame construction progress acquisition video frames included in the project construction progress acquisition video aiming at each project construction progress acquisition video in the project construction progress acquisition videos to obtain a target project construction progress acquisition video corresponding to the project construction progress acquisition video based on the similarity of video frames corresponding to the project construction progress acquisition video, wherein the frame number of the construction progress acquisition video frames included in the target project construction progress acquisition video is less than or equal to the frame number of the construction progress acquisition video frames included in the corresponding project construction progress acquisition video.
Illustratively, in some specific application examples, the similarity calculation module is specifically configured to:
aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, carrying out similarity calculation on each two frames of construction progress acquisition video frames in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition videos to obtain the inter-frame similarity between each two frames of construction progress acquisition video frames;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, performing mean value calculation on interframe similarity between every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain an interframe similarity mean value corresponding to the project construction progress acquisition video, and performing dispersion calculation on interframe similarity between every two frame construction progress acquisition video frames in the plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video based on the interframe similarity mean value to obtain an interframe similarity dispersion value corresponding to the project construction progress acquisition video;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining a first discrete coefficient corresponding to the project construction progress acquisition video based on an interframe similarity discrete value corresponding to the project construction progress acquisition video, wherein the first discrete coefficient and the interframe similarity discrete value have a negative correlation relationship;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining the video frame similarity corresponding to the project construction progress acquisition video based on the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the interframe similarity mean value have positive correlation, and the video frame similarity and the first discrete coefficient have positive correlation.
In summary, according to the project information management method and the project information management system applied to intelligent construction provided by the invention, a project construction progress acquisition video acquired by the project information acquisition terminal device for a corresponding construction area can be obtained for each project information acquisition terminal device, then, a video can be acquired for each project construction progress, similarity calculation is performed on multi-frame construction progress acquisition video frames included in the project construction progress acquisition video, and corresponding video frame similarity is obtained, so that the video can be acquired for each project construction progress, the video frame similarity corresponding to the project construction progress acquisition video is obtained based on the video frame similarity, multi-frame construction progress acquisition video frames included in the project construction progress acquisition video are screened, and a corresponding target project construction progress acquisition video is obtained. Based on this, because the frame number of the construction progress acquisition video frame that each target project construction progress acquisition video includes is less than or equal to the frame number of the construction progress acquisition video frame that the corresponding project construction progress acquisition video includes, make the frame number of the construction progress acquisition video frame that needs the storage reduce to a certain extent, thereby reduce the consumption to the storage resource, make the management effect to the construction progress acquisition video frame can the preferred, thereby improve the not good problem of management effect to the construction project information among the prior art.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A project information management method applied to intelligent construction is characterized by being applied to a project information management server, wherein the project information management server is in communication connection with a plurality of project information acquisition terminal devices, and the project information management method applied to intelligent construction comprises the following steps:
acquiring a project construction progress acquisition video acquired by the project information acquisition terminal equipment for a corresponding construction area aiming at each project information acquisition terminal equipment in the project information acquisition terminal equipment, wherein the project information acquisition terminal equipment corresponds to the construction areas one by one, and each project construction progress acquisition video comprises a multi-frame construction progress acquisition video frame;
acquiring a video for each project construction progress in a plurality of project construction progress acquisition videos corresponding to the plurality of project information acquisition terminal devices, and performing similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos to obtain corresponding video frame similarity;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, screening multiple frames of construction progress acquisition video frames included in the project construction progress acquisition video based on the video frame similarity corresponding to the project construction progress acquisition video to obtain a target project construction progress acquisition video corresponding to the project construction progress acquisition video, wherein the number of frames of the construction progress acquisition video frames included in each target project construction progress acquisition video is less than or equal to the number of frames of the construction progress acquisition video frames included in the corresponding project construction progress acquisition video;
the method comprises the steps of acquiring videos of each project construction progress in a plurality of project construction progress acquisition videos corresponding to a plurality of project information acquisition terminal devices, calculating the similarity of multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos, and obtaining the similarity of corresponding video frames, wherein the steps comprise:
aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, carrying out similarity calculation on each two frames of construction progress acquisition video frames in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition videos to obtain the inter-frame similarity between each two frames of construction progress acquisition video frames;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, performing mean value calculation on interframe similarity between every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain an interframe similarity mean value corresponding to the project construction progress acquisition video, and performing dispersion calculation on interframe similarity between every two frame construction progress acquisition video frames in the plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video based on the interframe similarity mean value to obtain an interframe similarity dispersion value corresponding to the project construction progress acquisition video;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining a first discrete coefficient corresponding to the project construction progress acquisition video based on an interframe similarity discrete value corresponding to the project construction progress acquisition video, wherein the first discrete coefficient and the interframe similarity discrete value have a negative correlation relationship;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining the video frame similarity corresponding to the project construction progress acquisition video based on the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the interframe similarity mean value have positive correlation, and the video frame similarity and the first discrete coefficient have positive correlation.
2. The project information management method applied to intelligent construction according to claim 1, wherein the step of acquiring, for each of the plurality of project information acquisition terminal devices, a project construction progress acquisition video acquired by the project information acquisition terminal device for a corresponding construction area, includes:
determining whether construction progress information acquisition processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information acquisition terminal devices, generating progress acquisition notification information when it is determined that the construction progress information acquisition processing needs to be performed on the plurality of construction areas corresponding to the plurality of project information acquisition terminal devices, and respectively sending the progress acquisition notification information to each of the plurality of project information acquisition terminal devices, wherein each of the plurality of project information acquisition terminal devices is used for acquiring information of the corresponding construction area after receiving the progress acquisition notification information, so as to obtain a project construction progress acquisition video;
and acquiring a project construction progress acquisition video acquired by the project information acquisition terminal equipment on the basis of the progress acquisition notification information for each project information acquisition terminal equipment in the plurality of project information acquisition terminal equipment in a corresponding construction area.
3. The project information management method applied to intelligent construction according to claim 2, wherein the step of determining whether construction progress information collection processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information collection terminal devices, and generating progress collection notification information and transmitting the progress collection notification information to each of the plurality of project information collection terminal devices, respectively, when it is determined that construction progress information collection processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information collection terminal devices, includes:
judging whether a construction progress management instruction generated in response to construction progress management operation performed by a corresponding construction progress management user is received or not, and determining that construction progress information acquisition processing needs to be performed on a plurality of construction areas corresponding to the plurality of project information acquisition terminal devices when the construction progress management instruction is received, or determining that construction progress information acquisition processing does not need to be performed on the plurality of construction areas when the construction progress management instruction is not received;
and when the plurality of construction areas need to be constructed, generating progress acquisition notification information, and respectively sending the progress acquisition notification information to each of the plurality of project information acquisition terminal devices.
4. The project information management method applied to intelligent construction according to claim 1, wherein the step of calculating similarity of each two-frame construction progress captured video frame in the multiple frame construction progress captured video frames included in the project construction progress captured video for each project construction progress captured video in the multiple project construction progress captured videos corresponding to the multiple project information captured terminal devices to obtain inter-frame similarity between each two-frame construction progress captured video frames includes:
acquiring a video of each project construction progress in a plurality of project construction progress acquisition videos corresponding to the plurality of project information acquisition terminal devices, and determining and processing a similarity coefficient of the project construction progress acquisition video to obtain a similarity coefficient corresponding to the project construction progress acquisition video;
the method comprises the steps of aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos, carrying out similarity calculation on every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain the similarity between every two frame construction progress acquisition video frames, and respectively determining a frame time sequence difference value between every two frame construction progress acquisition video frames;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, calculating to obtain the interframe similarity between every two frames of construction progress acquisition video frames included in the project construction progress acquisition video based on the similarity coefficient corresponding to the project construction progress acquisition video, the ratio of the frame time sequence difference value between every two frames of construction progress acquisition video frames to a pre-configured time sequence difference value threshold value and the similarity between every two frames of construction progress acquisition video frames.
5. The project information management method applied to intelligent construction according to claim 4, wherein the similarity coefficient determination process includes:
decomposing a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition video into a first video frame set and a second video frame set, wherein the first video frame set includes a plurality of frames of construction progress acquisition video frames, and the second video frame set includes a plurality of frames of construction progress acquisition video frames;
based on a first user set having a binding relationship with the first video frame set, performing user identification processing on construction progress acquisition video frames included in the first video frame set to obtain a second user set corresponding to the first video frame set, wherein the second user set belongs to a subset of the first user set, and the first user set is determined based on constructors of a construction area corresponding to a corresponding project construction progress acquisition video;
for each target constructor in the second user set, determining each frame of related video frames corresponding to the target constructor in the construction progress acquisition video frames included in the second video frame set, and calculating an average value of similarity between every two frames of related video frames corresponding to the target constructor to obtain a first similarity coefficient corresponding to the target constructor, wherein each frame of related video frames has a corresponding target construction user, and when the number of frames of any one of related video frames corresponding to the target constructor is smaller than a preset frame number threshold, the first similarity coefficient corresponding to the target constructor is assigned to be 0;
counting the number of frames of a relevant video frame corresponding to each target construction worker in the second user set to obtain the number of occurrences corresponding to the target construction worker, and respectively determining a similarity weighting coefficient corresponding to each target construction worker based on the number of occurrences corresponding to each target construction worker in the second user set;
and performing weighted summation calculation on the first similarity coefficient corresponding to each target construction person based on the similarity weighting coefficient corresponding to each target construction person in the second user set to obtain a similarity coefficient corresponding to the project construction progress acquisition video.
6. The project information management method applied to intelligent construction according to claim 1, wherein the step of determining the video frame similarity corresponding to the project construction progress captured video based on the inter-frame similarity mean value corresponding to the project construction progress captured video and the first discrete coefficient corresponding to the project construction progress captured video for each of the plurality of project construction progress captured videos includes:
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, calculating the product between the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video;
and determining the video frame similarity corresponding to the project construction progress acquisition video based on the product of the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the product have positive correlation.
7. The project information management method applied to intelligent construction according to any one of claims 1 to 6, wherein the step of obtaining the target project construction progress collected video corresponding to the project construction progress collected video by screening multiple frames of construction progress collected video frames included in the project construction progress collected video based on the similarity of video frames corresponding to the project construction progress collected video comprises:
for each project construction progress acquisition video in the project construction progress acquisition videos, respectively carrying out similarity calculation on every two adjacent frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain inter-frame similarity between every two adjacent frame construction progress acquisition video frames, and determining the relative size relationship between the inter-frame similarity and the video frame similarity corresponding to the project construction progress acquisition video;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, screening every two adjacent frame construction progress acquisition video frames of which the inter-frame similarity is greater than or equal to the corresponding video frame similarity included in the project construction progress acquisition video, and obtaining a target project construction progress acquisition video corresponding to the project construction progress acquisition video.
8. The utility model provides a project information management system for intelligent construction which characterized in that is applied to project information management server, project information management server communication connection has a plurality of project information acquisition terminal equipment, project information management system for intelligent construction includes:
the video acquisition module is used for acquiring project construction progress acquisition videos acquired by the project information acquisition terminal equipment for corresponding construction areas aiming at each project information acquisition terminal equipment in the project information acquisition terminal equipment, wherein the project information acquisition terminal equipment corresponds to the construction areas one by one, and each project construction progress acquisition video comprises a multi-frame construction progress acquisition video frame;
the similarity calculation module is used for acquiring videos of each project construction progress in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, and performing similarity calculation on multi-frame construction progress acquisition video frames included in the project construction progress acquisition videos to obtain corresponding video frame similarities;
the video screening module is used for screening and processing a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition video according to the video frame similarity corresponding to the project construction progress acquisition video to obtain a target project construction progress acquisition video corresponding to the project construction progress acquisition video, wherein the number of frames of construction progress acquisition video frames included in each target project construction progress acquisition video is less than or equal to the number of frames of construction progress acquisition video frames included in the corresponding project construction progress acquisition video;
wherein the similarity calculation module is specifically configured to:
aiming at each project construction progress acquisition video in a plurality of project construction progress acquisition videos corresponding to the project information acquisition terminal devices, carrying out similarity calculation on each two frames of construction progress acquisition video frames in a plurality of frames of construction progress acquisition video frames included in the project construction progress acquisition videos to obtain the inter-frame similarity between each two frames of construction progress acquisition video frames;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, performing mean value calculation on interframe similarity between every two frame construction progress acquisition video frames in a plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video to obtain an interframe similarity mean value corresponding to the project construction progress acquisition video, and performing dispersion calculation on interframe similarity between every two frame construction progress acquisition video frames in the plurality of frame construction progress acquisition video frames included in the project construction progress acquisition video based on the interframe similarity mean value to obtain an interframe similarity dispersion value corresponding to the project construction progress acquisition video;
aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining a first discrete coefficient corresponding to the project construction progress acquisition video based on an interframe similarity discrete value corresponding to the project construction progress acquisition video, wherein the first discrete coefficient and the interframe similarity discrete value have a negative correlation relationship;
and aiming at each project construction progress acquisition video in the project construction progress acquisition videos, determining the video frame similarity corresponding to the project construction progress acquisition video based on the interframe similarity mean value corresponding to the project construction progress acquisition video and the first discrete coefficient corresponding to the project construction progress acquisition video, wherein the video frame similarity and the interframe similarity mean value have positive correlation, and the video frame similarity and the first discrete coefficient have positive correlation.
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