CN115936654A - Intelligent hydraulic engineering progress control method and system - Google Patents
Intelligent hydraulic engineering progress control method and system Download PDFInfo
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Abstract
The invention discloses an intelligent hydraulic engineering progress control method and system, which comprises the steps of cutting a pre-constructed three-dimensional effect model to obtain an engineering progress gray level effect graph corresponding to a progress time node; acquiring an engineering site gray level image of a construction object at a time node and an engineering progress gray level effect image of a progress time node corresponding to the time node; judging whether a first similarity between an engineering site gray scale image and an engineering progress gray scale effect image is smaller than a first preset threshold value or not; if the similarity is smaller than the first preset threshold, acquiring the similarity change rate of the engineering site gray level image, and judging whether the similarity change rate is smaller than a second preset threshold; and if the similarity change rate is smaller than a second preset threshold value, performing alarm prompt. Whether the similarity between the engineering site gray-scale image and the engineering progress gray-scale effect image of the progress time node closest to the time node is smaller than a preset threshold value or not can be judged, the planned construction progress can be compared, and the management efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of hydraulic engineering management and control, and particularly relates to an intelligent hydraulic engineering progress management and control method and system.
Background
Hydraulic engineering is different from other project engineering, and is general, and hydraulic engineering's construction environment is in natural environment, and in hydraulic engineering project's scale enlargement, can make the construction degree of difficulty obviously increase.
At present, construction progress management is monitored on line based on field data acquisition, and engineers subjectively judge the engineering progress of hydraulic engineering construction through uploaded data and perform progress early warning. In progress management and control process, because emergency leads to the project progress to be unable to reach the expectation easily for send the progress early warning, often need the staff to increase working strength for overtaking current project progress this moment, but in overtaking current project progress in-process, it is unreasonable often to appear the project progress distribution, thereby it is big to cause staff working strength, and the staff can't accomplish corresponding project progress on time even.
Disclosure of Invention
The invention provides an intelligent hydraulic engineering progress control method and system, which are used for solving the technical problems that in the process of arriving at the engineering progress, the engineering progress is often distributed unreasonably, so that the working intensity of workers is high, and even the workers cannot finish the corresponding engineering progress on time.
In a first aspect, the invention provides an intelligent hydraulic engineering progress control method, which includes:
constructing a three-dimensional effect model of a construction object, and cutting the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node, wherein the local three-dimensional effect model corresponds to an engineering progress gray level effect graph;
acquiring an engineering site gray scale image of the construction object at a time node and an engineering progress gray scale effect image of a progress time node corresponding to the time node, wherein the progress time node is a progress time node which is adjacent to the time node and is larger than the time node;
judging whether a first similarity between the engineering site gray scale image and the engineering progress gray scale effect image is smaller than a first preset threshold value or not;
if the similarity is smaller than the preset threshold, acquiring the similarity change rate of the engineering site gray scale image, and judging whether the similarity change rate is smaller than a second preset threshold, wherein the expression for calculating the similarity change rate is as follows:
in the formula, Δ f is a similarity change rate of an engineering site gray scale image, f1 is a similarity between an engineering site gray scale image of a time node and the engineering progress gray scale effect image, f2 is a similarity between another engineering site gray scale image of a previous time node and the engineering progress gray scale effect image, and Δ t is a difference value between a time node and the previous time node;
and if the similarity change rate is smaller than a second preset threshold value, carrying out alarm prompt.
Further, after determining whether the similarity between the engineering site gray scale image and the engineering progress gray scale effect image is smaller than a first preset threshold, the method further includes:
if not, acquiring a second similarity between another engineering progress gray scale effect graph and the one engineering progress gray scale effect graph, and judging whether the second similarity is smaller than a third similarity between the one engineering site gray scale effect graph and the other engineering progress gray scale effect graph, wherein a progress time node corresponding to the other engineering progress gray scale effect graph is larger than a progress time node corresponding to the one engineering progress gray scale effect graph;
if the second similarity is smaller than a third similarity between the engineering site gray scale image and the other engineering progress gray scale effect image, continuing progress control;
if the second similarity is not less than the first similarity between the engineering site gray scale image and the engineering progress gray scale effect image, acquiring a difference value between a time node corresponding to the engineering site gray scale image and a progress time node corresponding to the engineering progress gray scale effect image, and judging whether the difference value is less than a preset time period;
if the difference is not less than the preset time period, continuing progress control;
and if the difference value is smaller than the preset time period, performing alarm prompt.
Further, after determining whether the similarity change rate is smaller than a second preset threshold, the method further includes:
and if the similarity change rate is not less than a second preset threshold value, continuing progress control.
Further, the cutting the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node includes:
cutting the three-dimensional effect model based on at least one progress time node to obtain a cut construction unit;
judging the position relation between the cutting surface and the cut construction unit, and acquiring a vertex list of the cut construction unit;
constructing an edge list of edges of the cut construction units and a surface list of surfaces of the cut construction units according to vertexes in the vertex list of the cut construction units;
generating a cut construction unit according to the side list of the cut construction unit and the surface list of the cut construction unit;
and generating at least one local three-dimensional effect model according to the cut construction unit.
Further, the obtaining of an engineering site gray-scale map of the construction object at a time node includes:
collecting a project site map of the construction object at a progress time node;
carrying out graying processing on the engineering field map to obtain a gray map, and determining the average gray value of the gray map;
marking pixel points which are not smaller than the average gray value in the gray map as foreground points, and marking pixel points which are smaller than the average gray value in the gray map as background points;
and modifying the gray value of the foreground point to be 0, and modifying the gray value of the background point to be 255 so as to generate a gray map of the engineering site.
In a second aspect, the present invention provides an intelligent hydraulic engineering progress management and control system, including:
the cutting module is configured to construct a three-dimensional effect model of a construction object, and cuts the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node, wherein the local three-dimensional effect model corresponds to an engineering progress gray level effect graph;
the construction method comprises the steps that an obtaining module is configured to obtain an engineering site gray scale graph of a construction object at a time node and an engineering progress gray scale effect graph of a progress time node corresponding to the time node, wherein the progress time node is a progress time node which is adjacent to the time node and is larger than the time node;
the first judgment module is configured to judge whether a first similarity between the engineering site gray scale image and the engineering progress gray scale effect image is smaller than a first preset threshold value or not;
a second judging module, configured to, if the similarity is smaller than the first preset threshold, obtain a similarity change rate of the engineering site grayscale map, and judge whether the similarity change rate is smaller than a second preset threshold, where an expression for calculating the similarity change rate is:
in the formula, Δ f is a similarity change rate of an engineering site gray scale image, f1 is a similarity between an engineering site gray scale image of a time node and the engineering progress gray scale effect image, f2 is a similarity between another engineering site gray scale image of a previous time node and the engineering progress gray scale effect image, and Δ t is a difference value between a time node and the previous time node;
and the alarm module is configured to perform alarm prompt if the similarity change rate is smaller than a second preset threshold value.
In a third aspect, an electronic device is provided, which includes: the system comprises at least one processor and a memory which is in communication connection with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the steps of the intelligent hydraulic engineering progress control method according to any embodiment of the invention.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to execute the steps of the intelligent hydraulic engineering progress control method according to any embodiment of the present invention.
According to the intelligent hydraulic engineering progress control method and system, whether the first similarity between the current engineering site gray-scale image and the engineering progress gray-scale effect image of the progress time node closest to the time node is smaller than a first preset threshold value or not is judged, the planned construction progress can be compared, the management efficiency is improved, and when the first similarity between the current engineering site gray-scale image and the engineering progress gray-scale effect image of the progress time node closest to the time node is smaller than the first preset threshold value, whether the current construction progress is delayed or not can be judged in advance by obtaining the similarity change rate of the current engineering site gray-scale image.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of an intelligent hydraulic engineering progress control method according to an embodiment of the present invention;
fig. 2 is a block diagram of an intelligent hydraulic engineering progress control system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an 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 some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, which shows a flowchart of an intelligent hydraulic engineering progress control method according to the present application.
As shown in fig. 1, the intelligent hydraulic engineering progress control method specifically includes the following steps:
step S101, a three-dimensional effect model of a construction object is built, the three-dimensional effect model is cut based on at least one preset progress time node, and at least one local three-dimensional effect model corresponding to the progress time node is obtained, wherein the local three-dimensional effect model corresponds to an engineering progress gray level effect graph.
In the present embodiment, a three-dimensional model building tool is used to perform high-precision modeling on a construction object. After modeling is completed, cutting the three-dimensional effect model according to the progress time node corresponding to the key stage of engineering construction, specifically: cutting the three-dimensional effect model based on at least one progress time node to obtain a cut construction unit; judging the position relation between the cutting surface and the cut construction unit, and acquiring a vertex list of the cut construction unit; constructing an edge list of edges of the cut construction units and a surface list of surfaces of the cut construction units according to vertexes in the vertex list of the cut construction units; generating a cut construction unit according to the side list of the cut construction unit and the surface list of the cut construction unit; and generating at least one local three-dimensional effect model according to the cut construction units.
The method for cutting the three-dimensional effect model includes: and horizontally cutting the three-dimensional effect model, vertically cutting the three-dimensional effect model, and laterally cutting the three-dimensional effect model.
Step S102, obtaining an engineering site gray scale image of the construction object at a time node and an engineering progress gray scale effect image of a progress time node corresponding to the time node.
In this embodiment, an engineering site gray scale map of a construction object at a time node is obtained, and an engineering progress gray scale effect map of a progress time node corresponding to the time node is obtained. Specifically, a progress time node is a progress time node which is adjacent to a time node and is greater than the time node, so that the similarity between the obtained engineering progress gray scale effect graph and the current engineering site gray scale graph is maximum, and the time range of the current construction progress is obtained.
It should be understood that, acquiring an engineering site gray-scale map of a construction object at a time node specifically includes: collecting a project site map of a construction object at a progress time node; graying a project site map to obtain a gray map, and determining an average gray value of the gray map; marking pixel points which are not smaller than the average gray value in a gray map as foreground points, and marking pixel points which are smaller than the average gray value in the gray map as background points; and modifying the gray value of the foreground point to be 0 and modifying the gray value of the background point to be 255 so as to generate an engineering site gray image.
In another embodiment, the step of generating a gray-scale map of the construction object at a time node in the engineering site specifically comprises:
marking an n-by-n pixel rectangular image area with a pixel point as a center in the engineering site gray scale image, wherein n is an integer not less than 5; determining the average gray value of each current pixel point in the rectangular image area; for each current pixel point in the rectangular image area, executing: when the gray value of the current pixel point is not less than the average gray value, marking the current pixel point as a foreground point; or when the gray value of the current pixel point is smaller than the average gray value, marking the current pixel point as a background point; determining a first frequency that each pixel point in the engineering site gray-scale image is respectively marked as a foreground point and a second frequency that each pixel point in the engineering site gray-scale image is respectively marked as a background point; calculating the probability value of each pixel point as a foreground point according to the first times and the second times corresponding to each pixel point in the gray level image; and modifying the gray value of each pixel point with the corresponding probability value smaller than the preset threshold value in the engineering site gray map to be 0, and modifying the gray value of each pixel point with the corresponding probability value not smaller than the preset threshold value in the engineering site gray map to be 255 so as to generate the optimized engineering site gray map.
Step S103, judging whether a first similarity between an engineering site gray scale image and an engineering progress gray scale effect image is smaller than a first preset threshold value.
In this embodiment, by judging whether the first similarity between the current engineering site gray-scale image and the engineering progress gray-scale effect image of the progress time node closest to the time node is smaller than a first preset threshold, the planned construction progress can be compared, and the management efficiency is improved.
It should be understood by those skilled in the art that the calculation of the similarity between the engineering progress gray effect graph and the current engineering field gray effect graph may be implemented by different algorithms in combination with actual service requirements, for example, the calculation of the similarity between the corresponding engineering progress gray effect graph and the optimized image may be finally implemented by calculating the euclidean distance between the engineering field gray effect graph and the binarized image corresponding to the corresponding engineering progress gray effect graph.
Specifically, when a first similarity between a current engineering site gray scale image and an engineering progress gray scale effect image of a progress time node closest to the time node is not smaller than a first preset threshold value, acquiring a second similarity between another engineering progress gray scale effect image and an engineering progress gray scale effect image, and judging whether the second similarity is smaller than a third similarity between one engineering site gray scale image and the other engineering progress gray scale effect image, wherein the progress time node corresponding to the other engineering progress gray scale effect image is larger than the progress time node corresponding to the one engineering progress gray scale effect image;
if the second similarity is smaller than a third similarity between one project site gray level image and another project progress gray level effect image, continuing progress control;
if the second similarity is not less than the first similarity between the engineering site gray scale image and the engineering progress gray scale effect image, acquiring a difference value between a time node corresponding to the engineering site gray scale image and a progress time node corresponding to the engineering progress gray scale effect image, and judging whether the difference value is less than a preset time period;
if the difference value is not less than the preset time period, continuing to perform progress control;
and if the difference is smaller than the preset time period, performing alarm prompt.
And step S104, if the similarity is smaller than the preset threshold, acquiring the similarity change rate of the gray-scale map of the engineering site, and judging whether the similarity change rate is smaller than a second preset threshold.
In this embodiment, when the first similarity between the current engineering site gray-scale map and the engineering progress gray-scale effect map of the progress time node closest to the time node is smaller than the first preset threshold, whether the current construction progress is delayed can be judged in advance by obtaining the change rate of the similarity of the current engineering site gray-scale map.
Specifically, the expression for calculating the similarity change rate is as follows:
in the formula, Δ f is a similarity change rate of an engineering site gray scale map, f1 is a similarity between an engineering site gray scale map and an engineering progress gray scale effect map at a time node, f2 is a similarity between another engineering site gray scale map and an engineering progress gray scale effect map at a previous time node, and Δ t is a difference value between a time node and the previous time node.
In a specific application scenario, a hydraulic engineering plan is completed in 100 days, progress time nodes (10 th day, 20 th day, 30 th day, 40 th day, 50 th day, 60 th day, 70 th day, 80 th day, 90 th day and 100 th day) are set in sequence, and each progress time node corresponds to an engineering progress gray scale effect graph.
If the difference between the engineering field gray scale map of the 14 th day and the engineering field gray scale map of the 15 th day is directly analyzed, the analysis accuracy is not high enough due to the fact that the interval time period between the 12 th day and the 15 th day is short, by adopting the method, the similarity of the engineering field gray scale map of the 14 th day and the engineering progress gray scale effect map corresponding to the 20 th day is 59.1, the similarity of the engineering field gray scale map of the 15 th day and the engineering progress gray scale effect map corresponding to the 20 th day is 60, the similarity change rate of the engineering field gray scale map of the 15 th day is 0.9%, and the similarity change rate of 0.9% is smaller than a second preset threshold (100/100 day = 1), and the situation that the construction progress from the 14 th day to the 15 th day is slow is shown, and an alarm needs to be given.
And step S105, if the similarity change rate is smaller than a second preset threshold value, performing alarm prompt.
In this embodiment, if the similarity change rate is not less than the second preset threshold, the progress control is continued.
In summary, the method of the application can compare the planned construction progress and improve the management efficiency by judging whether the first similarity between the current engineering site gray-scale image and the engineering progress gray-scale effect image of the progress time node closest to the current engineering site gray-scale image time node is smaller than a first preset threshold, and can judge whether the current construction progress lags in advance by obtaining the similarity change rate of the current engineering site gray-scale image when the first similarity between the current engineering site gray-scale image and the engineering progress gray-scale effect image of the progress time node closest to the current engineering site gray-scale image time node is smaller than the first preset threshold.
Please refer to fig. 2, which shows a block diagram of an intelligent hydraulic engineering progress control system according to the present application.
As shown in fig. 2, the structure 200 of the intelligent hydraulic engineering progress control system includes a cutting module 210, an obtaining module 220, a first determining module 230, a second determining module 240, and an alarm module 250.
The cutting module 210 is configured to construct a three-dimensional effect model of a construction object, and cut the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node, wherein the local three-dimensional effect model corresponds to an engineering progress gray level effect graph; the obtaining module 220 is configured to obtain an engineering site gray-scale map of the construction object at a time node and an engineering progress gray-scale effect map of a progress time node corresponding to the time node, wherein the progress time node is a progress time node which is adjacent to the time node and is greater than the time node; a first determining module 230 configured to determine whether a first similarity between an engineering site gray scale image and an engineering progress gray scale effect image is smaller than a first preset threshold; the second determining module 240 is configured to, if the similarity is smaller than the first preset threshold, obtain a similarity change rate of the engineering site gray scale map, and determine whether the similarity change rate is smaller than a second preset threshold, where an expression for calculating the similarity change rate is:
in the formula, Δ f is a similarity change rate of an engineering site gray-scale image, f1 is a similarity between an engineering site gray-scale image and an engineering progress gray-scale effect image at a time node, f2 is a similarity between another engineering site gray-scale image and an engineering progress gray-scale effect image at a previous time node, and Δ t is a difference value between a time node and the previous time node; and the warning module 250 is configured to perform warning prompt if the similarity change rate is smaller than a second preset threshold.
It should be understood that the modules depicted in fig. 2 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 2, and are not described again here.
In other embodiments, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when executed by a processor, the program instructions cause the processor to execute the intelligent hydraulic engineering progress control method in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
constructing a three-dimensional effect model of a construction object, and cutting the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node;
acquiring an engineering site gray scale image of a construction object at a time node and an engineering progress gray scale effect image of a progress time node corresponding to the time node;
judging whether a first similarity between an engineering site gray level image and an engineering progress gray level effect image is smaller than a first preset threshold value or not;
if the similarity is smaller than the first preset threshold, acquiring the similarity change rate of the engineering site gray level image, and judging whether the similarity change rate is smaller than a second preset threshold;
and if the similarity change rate is smaller than a second preset threshold value, carrying out alarm prompt.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the intelligent hydraulic engineering progress management and control system, and the like. Further, the computer readable storage medium may include high speed random access memory and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the computer readable storage medium optionally includes a memory remotely located from the processor, and the remote memory may be connected to the intelligent hydraulic engineering progress management system via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, such as the bus connection in fig. 3. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running the nonvolatile software programs, instructions and modules stored in the memory 320, that is, the method for intelligently managing and controlling the progress of the hydraulic engineering according to the embodiment of the method is implemented. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the intelligent hydraulic engineering progress control system. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the invention and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an implementation manner, the electronic device is applied to an intelligent hydraulic engineering progress control system, and is used for a client, and includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:
constructing a three-dimensional effect model of a construction object, and cutting the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node;
acquiring an engineering site gray level image of a construction object at a time node and an engineering progress gray level effect image of a progress time node corresponding to the time node;
judging whether a first similarity between an engineering site gray level image and an engineering progress gray level effect image is smaller than a first preset threshold value or not;
if the similarity is smaller than the first preset threshold, acquiring the similarity change rate of the engineering site gray-scale image, and judging whether the similarity change rate is smaller than a second preset threshold;
and if the similarity change rate is smaller than a second preset threshold value, performing alarm prompt.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An intelligent hydraulic engineering progress control method is characterized by comprising the following steps:
constructing a three-dimensional effect model of a construction object, and cutting the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node, wherein the local three-dimensional effect model corresponds to an engineering progress gray level effect graph;
acquiring an engineering site gray scale image of the construction object at a time node and an engineering progress gray scale effect image of a progress time node corresponding to the time node, wherein the progress time node is a progress time node which is adjacent to the time node and is larger than the time node;
judging whether a first similarity between the engineering site gray level image and the engineering progress gray level effect image is smaller than a first preset threshold value or not;
if the similarity is smaller than the preset threshold, acquiring a similarity change rate of the engineering site gray scale image, and judging whether the similarity change rate is smaller than a second preset threshold, wherein an expression for calculating the similarity change rate is as follows:
in the formula, Δ f is a similarity change rate of an engineering site gray scale image, f1 is a similarity between an engineering site gray scale image of a time node and the engineering progress gray scale effect image, f2 is a similarity between another engineering site gray scale image of a previous time node and the engineering progress gray scale effect image, and Δ t is a difference value between a time node and the previous time node;
and if the similarity change rate is smaller than a second preset threshold value, performing alarm prompt.
2. The intelligent hydraulic engineering progress control method according to claim 1, wherein after judging whether the similarity between the engineering site gray scale map and the engineering progress gray scale effect map is smaller than a first preset threshold, the method further comprises:
if not, acquiring a second similarity between another engineering progress gray scale effect graph and the one engineering progress gray scale effect graph, and judging whether the second similarity is smaller than a third similarity between the one engineering site gray scale effect graph and the other engineering progress gray scale effect graph, wherein a progress time node corresponding to the other engineering progress gray scale effect graph is larger than a progress time node corresponding to the one engineering progress gray scale effect graph;
if the second similarity is smaller than a third similarity between the engineering site gray scale image and the other engineering progress gray scale effect image, continuing progress control;
if the second similarity is not less than the first similarity between the engineering site gray scale image and the engineering progress gray scale effect image, acquiring a difference value between a time node corresponding to the engineering site gray scale image and a progress time node corresponding to the engineering progress gray scale effect image, and judging whether the difference value is less than a preset time period;
if the difference is not less than the preset time period, continuing progress control;
and if the difference value is smaller than the preset time period, performing alarm prompt.
3. The intelligent hydraulic engineering progress control method according to claim 2, wherein after determining whether the similarity change rate is smaller than a second preset threshold, the method further comprises:
and if the similarity change rate is not less than a second preset threshold value, continuing progress control.
4. The intelligent hydraulic engineering progress control method according to claim 1, wherein the cutting of the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node comprises:
cutting the three-dimensional effect model based on at least one progress time node to obtain a cut construction unit;
judging the position relation between the cutting surface and the cut construction unit, and acquiring a vertex list of the cut construction unit;
constructing an edge list of edges of the cut construction units and a surface list of surfaces of the cut construction units according to vertexes in the vertex list of the cut construction units;
generating a cut construction unit according to the side list of the cut construction unit and the surface list of the cut construction unit;
and generating at least one local three-dimensional effect model according to the cut construction unit.
5. The intelligent hydraulic engineering progress control method according to claim 1, wherein the obtaining of an engineering site gray scale map of the construction object at a time node comprises:
collecting a project site map of the construction object at a progress time node;
carrying out graying processing on the engineering field map to obtain a gray map, and determining the average gray value of the gray map;
marking pixel points which are not smaller than the average gray value in the gray map as foreground points, and marking pixel points which are smaller than the average gray value in the gray map as background points;
and modifying the gray value of the foreground point to be 0, and modifying the gray value of the background point to be 255 so as to generate a gray map of the engineering site.
6. The utility model provides an intelligent hydraulic engineering progress management and control system which characterized in that includes:
the cutting module is configured to construct a three-dimensional effect model of a construction object, and cuts the three-dimensional effect model based on at least one preset progress time node to obtain at least one local three-dimensional effect model corresponding to the progress time node, wherein the local three-dimensional effect model corresponds to an engineering progress gray level effect graph;
the construction method comprises the steps that an obtaining module is configured to obtain an engineering site gray scale graph of a construction object at a time node and an engineering progress gray scale effect graph of a progress time node corresponding to the time node, wherein the progress time node is a progress time node which is adjacent to the time node and is larger than the time node;
the first judgment module is configured to judge whether a first similarity between the engineering site gray scale image and the engineering progress gray scale effect image is smaller than a first preset threshold value or not;
a second judging module, configured to, if the similarity is smaller than the first preset threshold, obtain a similarity change rate of the engineering site grayscale map, and judge whether the similarity change rate is smaller than a second preset threshold, where an expression for calculating the similarity change rate is:
wherein, Δ f is a similarity change rate of an engineering site gray level image, f1 is a similarity between an engineering site gray level image of a time node and the engineering progress gray level effect image, f2 is a similarity between another engineering site gray level image of a previous time node and the engineering progress gray level effect image, and Δ t is a difference value between a time node and the previous time node;
and the alarm module is configured to perform alarm prompt if the similarity change rate is smaller than a second preset threshold value.
7. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1 to 5.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118396576A (en) * | 2024-07-01 | 2024-07-26 | 江西省送变电工程有限公司 | Construction progress monitoring and early warning method and system |
| CN118485331A (en) * | 2024-05-10 | 2024-08-13 | 浙江纺织服装职业技术学院 | Animation image management system and method based on multi-source data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118485331A (en) * | 2024-05-10 | 2024-08-13 | 浙江纺织服装职业技术学院 | Animation image management system and method based on multi-source data |
| CN118396576A (en) * | 2024-07-01 | 2024-07-26 | 江西省送变电工程有限公司 | Construction progress monitoring and early warning method and system |
| CN118396576B (en) * | 2024-07-01 | 2024-09-27 | 江西省送变电工程有限公司 | Construction progress monitoring and early warning method and system |
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