CN113781425A - Concrete leveling analysis method and device - Google Patents
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Abstract
The invention provides a concrete leveling analysis method and a device, and the concrete leveling analysis method comprises the following steps: acquiring construction area image data, and inputting the construction area image data into a target detection model established based on the marked image data to obtain a fresh concrete identification area, a dense concrete identification area, a reinforcing steel bar identification area and a warehousing machine identification result; determining the area ratio of a target area according to the identification area of the fresh concrete, the identification area of the dense concrete and the identification area of the reinforcing steel bar; the method comprises the steps of obtaining a preset proportion threshold value based on the identification result of the leveling machine, outputting early warning information of the leveling result according to the comparison result of the area ratio of the target area and the preset proportion threshold value, controlling the leveling progress on the premise of not depending on a high-precision positioning leveling machine, improving the accuracy of leveling control while controlling the cost, and being more suitable for the hydraulic engineering construction site.
Description
Technical Field
The invention relates to the technical field of concrete leveling, in particular to a concrete leveling analysis method and a concrete leveling analysis device.
Background
The concrete leveling and spreading is a key process for concrete pouring, the leveling can ensure that the concrete is uniformly paved, the layering is clear, no aggregate is concentrated, and the leveling is an important influence factor for the implementation effect of the subsequent vibrating procedure. The concrete pouring is carried out by leveling and then vibrating, strictly replacing leveling with vibrating, and replacing leveling with vibrating, namely, unloading and then leveling without using a leveling machine, and directly vibrating by using a vibrating machine until a material pile is liquefied, flows and is leveled.
At present, the construction site leveling quality control ensures the full coverage of a concrete pouring area in a field command or interphone command mode, has higher labor cost, and often has a false alarm condition in the construction process; some researchers put forward improved construction site leveling quality control, for example, if a sensor is installed on a leveling machine to obtain leveling time, leveling position and the like, the existing machine is generally required to be modified, and the cost is high. And the position of the leveling machine cannot completely represent the working range of leveling construction, so that certain deviation can be generated with the leveling range in the actual construction process.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a concrete leveling analysis method and a concrete leveling analysis device, which can control the leveling progress on the premise of not depending on a high-precision positioning leveling machine, improve the accuracy of leveling control while controlling the cost, and are more suitable for hydraulic engineering construction sites.
In order to achieve the above object, an embodiment of the present invention provides a concrete leveling method, including:
acquiring construction area image data, and inputting the construction area image data into a target detection model established based on the marked image data to obtain a fresh concrete identification area, a dense concrete identification area, a reinforcing steel bar identification area and a warehousing machine identification result;
determining the area ratio of a target area according to the identification area of the fresh concrete, the identification area of the dense concrete and the identification area of the reinforcing steel bar;
and acquiring a preset proportion threshold value based on the identification result of the leveling machine, and outputting leveling result early warning information according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
The embodiment of the present invention further provides a concrete leveling analysis device, including:
the identification module is used for acquiring construction area image data, inputting the construction area image data into a target detection model established based on the marked image data, and obtaining a fresh concrete identification area, a dense concrete identification area, a steel bar identification area and a warehouse machinery identification result;
the target area ratio determining module is used for determining the target area ratio according to the fresh concrete identification area, the dense concrete identification area and the reinforcing steel bar identification area;
and the early warning module is used for acquiring a preset proportion threshold value based on the identification result of the leveling machine and outputting early warning information of the leveling result according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor realizes the steps of the concrete leveling analysis method when executing the computer program.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the concrete leveling method.
According to the concrete leveling analysis method and device provided by the embodiment of the invention, the image data of the construction area is firstly input into the target detection model to obtain the identification result of the identification area and the leveling machine, the area ratio of the target area is determined according to the identification area, and the early warning information of the leveling result is output according to the comparison result of the area ratio of the target area and the preset proportional threshold value obtained based on the identification result of the leveling machine, so that the leveling progress control can be carried out on the premise of not depending on high-precision positioning of the leveling machine, the accuracy of the leveling control is improved while the cost is controlled, and the concrete leveling analysis method and device are more suitable for the construction site of hydraulic engineering.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a flow chart of a concrete leveling method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a concrete leveling method according to another embodiment of the present invention;
FIG. 3 is a flowchart of S102 in an embodiment of the present invention;
FIG. 4 is a flowchart illustrating the creation and application of a target detection model according to an embodiment of the present invention;
FIG. 5 is a block diagram showing the structure of a concrete leveling analysis apparatus according to an embodiment of the present invention;
fig. 6 is a block diagram showing the structure of a computer device in the embodiment of the present invention.
Detailed Description
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. 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.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
In view of the problems of high labor cost and false alarm in the prior art, the embodiment of the invention provides a concrete leveling analysis method, which monitors the leveling progress in real time through a target detection model and avoids the problems of insufficient leveling or even insufficient leveling in a small part of areas caused by over-fast construction and over-compact links. The present invention will be described in detail below with reference to the accompanying drawings.
The key terms mentioned in the present invention are defined as follows:
target detection: target detection, also called target extraction, is an image segmentation method based on target geometry and statistical characteristics.
Concrete leveling: and paving the concrete mixture discharged into the pouring bin according to a certain thickness.
Concrete leveling machine: a machine for leveling concrete mixture in the pouring bin.
FIG. 1 is a flow chart of a concrete leveling method according to an embodiment of the present invention. Fig. 2 is a flow chart of a concrete leveling method according to another embodiment of the present invention. As shown in fig. 1-2, the concrete leveling method includes:
s101: and acquiring image data of the construction area, and inputting the image data of the construction area into a target detection model established based on the marked image data to obtain a fresh concrete identification area, a dense concrete identification area, a reinforcing steel bar identification area and a warehouse machinery identification result.
Wherein, can gather construction area image data through the camera, closely knit concrete is the closely knit concrete of vibration.
S102: and determining the area ratio of the target area according to the fresh concrete identification area, the dense concrete identification area and the reinforcing steel bar identification area.
When reinforcing steel bars exist in a construction site, because the size of the leveling machine is large, the lower part of the reinforcing steel bars cannot be leveled by pushing fresh concrete, and therefore the influence of the reinforcing steel bars on the area ratio of a target area is considered. Fig. 3 is a flowchart of S102 in the embodiment of the present invention. As shown in fig. 3, S102 includes:
s201: and determining the length data of the steel bars according to the steel bar identification area.
S202: and determining the steel bar occupying area according to the steel bar length data and the preset construction area width.
The area occupied by the steel bars is the product of the length data of the steel bars and the width of a preset construction area.
S203: and determining the area ratio of the target area according to the fresh concrete identification area, the dense concrete identification area, the reinforcing steel bar identification area and the reinforcing steel bar occupying area.
In specific implementation, the area ratio of the target region can be determined according to the following formula:
Z＝a/(a+b-c)；
wherein Z is the area ratio of the target area, a is a fresh concrete identification area, b is a dense concrete identification area, and c is a reinforcing steel bar occupation area.
S103: and acquiring a preset proportion threshold value based on the identification result of the leveling machine, and outputting leveling result early warning information according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
And when the concrete leveling machine is not identified, indicating that the leveling construction is finished, and acquiring a preset proportion threshold value i (i can be 0.9). When the area ratio of the target area is larger than the preset ratio threshold, the fresh concrete area (the leveling area) meets the leveling requirement, the leveling is sufficient, and the leveling in the area can be finished. And when the area ratio of the target area is less than or equal to the preset ratio threshold, indicating that the fresh concrete area (the open area) does not meet the open requirement, and outputting open result early warning information at the moment.
The main body of execution of the concrete leveling method shown in fig. 1 may be a computer. As can be seen from the flow shown in fig. 1, the concrete leveling analysis method according to the embodiment of the present invention first inputs image data of a construction area into a target detection model to obtain an identification result of an identification area and a leveling machine, and then determines an area ratio of the target area according to the identification area to output leveling result warning information according to a comparison result of the area ratio of the target area and a preset proportional threshold obtained based on the identification result of the leveling machine.
In one embodiment, the method further comprises: obtaining the area ratio of a historical region based on the identification result of the leveling machine, and constructing an area ratio time curve according to the area ratio of the historical region and the area ratio of a target region; and outputting the early warning information of the open bunker construction according to the area ratio time curve.
The historical region area ratio is the target region area ratio of the historical time. When the concrete leveling machine is identified, it is indicated that leveling is not completed, the area ratio of the historical region is obtained at the moment, and an area ratio time curve is constructed according to the area ratio of the historical region and the area ratio of the target region. When the area ratio time curve is a horizontal curve within the preset time, the area ratio in the time period is not changed any more, the operation efficiency of the leveling machine is too low, and early warning information of leveling construction is output.
FIG. 4 is a flowchart illustrating the creation and application of an object detection model according to an embodiment of the present invention. As shown in fig. 4, creating the target detection model based on the annotation image data includes:
dividing the labeled image data into a training set and a verification set; training a preset initial target detection model according to a training set to obtain a plurality of target detection training models; and verifying the plurality of target detection training models according to the verification set, and selecting a target detection model from the plurality of target detection training models according to the verification result of each target detection training model.
As shown in fig. 4, in implementation, the data acquisition and storage mainly have two roles: firstly, acquiring image data in the concrete open warehouse construction process, framing out an area to be identified in the image data through marking software, and marking the category (including fresh concrete, dense concrete, steel bars and an open warehouse machine) to construct a training set and a verification set for model training; and secondly, acquiring real-time image data (construction area image data) in the concrete horizontal warehouse construction process for activity recognition and feedback after the model is established. The model training module is unique to a machine learning system, different capabilities are built through learning historical data and the model training module is used, and a large amount of human resources can be saved. Engineering applications are a source of demand for the entire system, and are the subject of data acquisition and storage and the services of the model training module.
The specific process of the embodiment of the invention is as follows:
1. and dividing the labeled image data into a training set and a verification set, and training a preset initial target detection model according to the training set to obtain a plurality of target detection training models.
2. And verifying the plurality of target detection training models according to the verification set, and selecting a target detection model from the plurality of target detection training models according to the verification result of each target detection training model.
3. And acquiring image data of the construction area, and inputting the image data of the construction area into the target detection model to obtain identification results of the fresh concrete identification area, the dense concrete identification area, the reinforcing steel bar identification area and the flat cabin machine.
4. And determining the length data of the steel bars according to the steel bar identification area, and determining the occupied area of the steel bars according to the length data of the steel bars and the preset construction area width.
5. And determining the area ratio of the target area according to the fresh concrete identification area, the dense concrete identification area, the reinforcing steel bar identification area and the reinforcing steel bar occupying area.
6. And when the leveling machine is identified, acquiring the area ratio of the historical region, and constructing an area ratio time curve according to the area ratio of the historical region and the area ratio of the target region to output leveling construction early warning information.
7. And when the bin leveling machine is not identified, acquiring a preset proportion threshold, and outputting early warning information of a bin leveling result according to a comparison result of the area ratio of the target area and the preset proportion threshold.
In summary, the concrete leveling analysis method provided by the embodiment of the invention has the following beneficial effects:
(1) when the operation efficiency of the leveling machine is too low, real-time early warning is carried out, so that the leveling construction efficiency can be improved;
(2) the technical problem that the leveling area is not completely covered due to wrong command caused by fatigue, negligence, incapability of responsibility and the like of field workers is solved;
(3) the high-precision positioning of the leveling machine is not needed, and the leveling machine is more suitable for hydraulic engineering construction places;
(4) the method has the advantages of no need of complex setting operation and purchase of other sensor equipment, simplicity, reliability and certain application value in the fields of concrete pouring construction and the like.
Based on the same inventive concept, the embodiment of the invention also provides a concrete leveling analysis device, and as the principle of solving the problems of the method is similar to that of the concrete leveling analysis method, the implementation of the device can be referred to the implementation of the method, and repeated parts are not described again.
Fig. 5 is a block diagram showing the structure of the concrete leveling analysis apparatus according to the embodiment of the present invention. As shown in fig. 5, the concrete leveling analysis apparatus includes:
the identification module is used for acquiring construction area image data, inputting the construction area image data into a target detection model established based on the marked image data, and obtaining a fresh concrete identification area, a dense concrete identification area, a steel bar identification area and a warehouse machinery identification result;
the target area ratio determining module is used for determining the target area ratio according to the fresh concrete identification area, the dense concrete identification area and the reinforcing steel bar identification area;
and the early warning module is used for acquiring a preset proportion threshold value based on the identification result of the leveling machine and outputting early warning information of the leveling result according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
In one embodiment, the method further comprises the following steps:
the curve construction module is used for obtaining the area ratio of a historical region based on the identification result of the leveling machine and constructing an area ratio time curve according to the area ratio of the historical region and the area ratio of a target region;
the early warning module is also used for: and outputting the early warning information of the open bunker construction according to the area ratio time curve.
In one embodiment, the target area ratio determination module comprises:
the steel bar length unit is used for determining steel bar length data according to the steel bar identification area;
the steel bar occupying area unit is used for determining a steel bar occupying area according to the steel bar length data and the preset construction area width;
and the target area ratio determining unit is used for determining the target area ratio according to the fresh concrete identification area, the dense concrete identification area, the reinforcing steel bar identification area and the reinforcing steel bar occupying area.
In one embodiment, the method further comprises the following steps: an object detection model creation module to:
dividing the labeled image data into a training set and a verification set;
training a preset initial target detection model according to a training set to obtain a plurality of target detection training models;
and verifying the plurality of target detection training models according to the verification set, and selecting a target detection model from the plurality of target detection training models according to the verification result of each target detection training model.
To sum up, the concrete leveling analysis device of the embodiment of the invention firstly inputs image data of a construction area into a target detection model to obtain a recognition result of the recognition area and the leveling machine, then determines the area ratio of the target area according to the recognition area and outputs early warning information of the leveling result according to the comparison result of the area ratio of the target area and a preset proportional threshold value obtained based on the recognition result of the leveling machine, can perform leveling progress control on the premise of not depending on high-precision positioning of the leveling machine, improves the accuracy of leveling control while controlling the cost, and is more suitable for the construction site of hydraulic engineering.
The embodiment of the invention also provides a specific implementation mode of computer equipment capable of realizing all the steps in the concrete leveling analysis method in the embodiment. Fig. 6 is a block diagram of a computer device in an embodiment of the present invention, and referring to fig. 6, the computer device specifically includes the following:
a processor (processor)601 and a memory (memory) 602.
The processor 601 is configured to call a computer program in the memory 602, and the processor executes the computer program to implement all the steps in the concrete leveling method in the above embodiments, for example, when the processor executes the computer program to implement the following steps:
acquiring construction area image data, and inputting the construction area image data into a target detection model established based on the marked image data to obtain a fresh concrete identification area, a dense concrete identification area, a reinforcing steel bar identification area and a warehousing machine identification result;
determining the area ratio of a target area according to the identification area of the fresh concrete, the identification area of the dense concrete and the identification area of the reinforcing steel bar;
and acquiring a preset proportion threshold value based on the identification result of the leveling machine, and outputting leveling result early warning information according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
To sum up, the computer device of the embodiment of the invention firstly inputs the image data of the construction area into the target detection model to obtain the identification result of the identification area and the leveling machine, then determines the area ratio of the target area according to the identification area and outputs the early warning information of the leveling result according to the comparison result of the area ratio of the target area and the preset proportional threshold value obtained based on the identification result of the leveling machine, can perform leveling progress control on the premise of not depending on high-precision positioning of the leveling machine, improves the accuracy of leveling control while controlling the cost, and is more suitable for the construction site of the hydraulic engineering.
An embodiment of the present invention further provides a computer-readable storage medium capable of implementing all the steps in the concrete leveling method in the foregoing embodiment, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all the steps in the concrete leveling method in the foregoing embodiment, for example, when the processor executes the computer program, the processor implements the following steps:
acquiring construction area image data, and inputting the construction area image data into a target detection model established based on the marked image data to obtain a fresh concrete identification area, a dense concrete identification area, a reinforcing steel bar identification area and a warehousing machine identification result;
determining the area ratio of a target area according to the identification area of the fresh concrete, the identification area of the dense concrete and the identification area of the reinforcing steel bar;
and acquiring a preset proportion threshold value based on the identification result of the leveling machine, and outputting leveling result early warning information according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
To sum up, the computer-readable storage medium of the embodiment of the present invention inputs image data of a construction area into a target detection model to obtain an identification result of the identification area and the leveling machine, determines an area ratio of the target area according to the identification area, and outputs leveling result warning information according to a comparison result of the area ratio of the target area and a preset proportional threshold obtained based on the identification result of the leveling machine, so that leveling progress control can be performed without depending on high-precision positioning of the leveling machine, accuracy of leveling control is improved while cost is controlled, and the computer-readable storage medium is more suitable for hydraulic engineering construction sites.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Those of skill in the art will further appreciate that the various illustrative logical blocks, units, and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate the interchangeability of hardware and software, various illustrative components, elements, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design requirements of the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.
The various illustrative logical blocks, or elements, or devices described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be located in a user terminal. In the alternative, the processor and the storage medium may reside in different components in a user terminal.
In one or more exemplary designs, the functions described above in connection with the embodiments of the invention may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media that facilitate transfer of a computer program from one place to another. Storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, such computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store program code in the form of instructions or data structures and which can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Additionally, any connection is properly termed a computer-readable medium, and, thus, is included if the software is transmitted from a website, server, or other remote source via a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wirelessly, e.g., infrared, radio, and microwave. Such discs (disk) and disks (disc) include compact disks, laser disks, optical disks, DVDs, floppy disks and blu-ray disks where disks usually reproduce data magnetically, while disks usually reproduce data optically with lasers. Combinations of the above may also be included in the computer-readable medium.
Claims (10)
1. A concrete leveling analysis method is characterized by comprising the following steps:
acquiring construction area image data, and inputting the construction area image data into a target detection model established based on labeled image data to obtain a fresh concrete identification area, a dense concrete identification area, a reinforcing steel bar identification area and a warehousing machine identification result;
determining the area ratio of a target area according to the fresh concrete identification area, the dense concrete identification area and the reinforcing steel bar identification area;
and acquiring a preset proportion threshold value based on the identification result of the leveling machine, and outputting leveling result early warning information according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
2. The concrete leveling method according to claim 1, further comprising:
obtaining a historical region area ratio based on the identification result of the leveling machine, and constructing an area ratio time curve according to the historical region area ratio and the target region area ratio;
and outputting the early warning information of the open-warehouse construction according to the area ratio time curve.
3. The concrete leveling analysis method of claim 1, wherein determining a target area ratio from the fresh concrete identification area, the dense concrete identification area, and the rebar identification area comprises:
determining the length data of the reinforcing steel bars according to the reinforcing steel bar identification area;
determining a steel bar occupying area according to the steel bar length data and a preset construction area width;
and determining the area ratio of a target area according to the fresh concrete identification area, the dense concrete identification area, the reinforcing steel bar identification area and the reinforcing steel bar occupying area.
4. The concrete bunkering analysis method of claim 1, wherein creating a target detection model based on annotated image data comprises:
dividing the labeled image data into a training set and a verification set;
training a preset initial target detection model according to the training set to obtain a plurality of target detection training models;
and verifying the plurality of target detection training models according to the verification set, and selecting a target detection model from the plurality of target detection training models according to the verification result of each target detection training model.
5. A concrete leveling analysis device, comprising:
the identification module is used for acquiring construction area image data, inputting the construction area image data into a target detection model established based on the marked image data, and obtaining identification results of a fresh concrete identification area, a dense concrete identification area, a steel bar identification area and a flat cabin machine;
the target area ratio determining module is used for determining the target area ratio according to the fresh concrete identification area, the dense concrete identification area and the reinforcing steel bar identification area;
and the early warning module is used for acquiring a preset proportion threshold value based on the identification result of the bin leveling machine and outputting early warning information of the bin leveling result according to the comparison result of the area ratio of the target area and the preset proportion threshold value.
6. The concrete leveling analysis device of claim 5, further comprising:
the curve construction module is used for acquiring the area ratio of a historical region based on the identification result of the leveling machine and constructing an area ratio time curve according to the area ratio of the historical region and the area ratio of the target region;
the early warning module is further configured to: and outputting the early warning information of the open-warehouse construction according to the area ratio time curve.
7. The concrete leveling apparatus according to claim 5, wherein the target area ratio determining module includes:
the steel bar length unit is used for determining steel bar length data according to the steel bar identification area;
the steel bar occupying area unit is used for determining a steel bar occupying area according to the steel bar length data and the preset construction area width;
and the target area ratio determining unit is used for determining the target area ratio according to the fresh concrete identification area, the dense concrete identification area, the reinforcing steel bar identification area and the reinforcing steel bar occupying area.
8. The concrete leveling analysis device of claim 5, further comprising: an object detection model creation module to:
dividing the labeled image data into a training set and a verification set;
training a preset initial target detection model according to the training set to obtain a plurality of target detection training models;
and verifying the plurality of target detection training models according to the verification set, and selecting a target detection model from the plurality of target detection training models according to the verification result of each target detection training model.
9. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the steps of the concrete leveling method according to any of claims 1 to 4 are implemented by the processor when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the concrete leveling method according to one of claims 1 to 4.
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