CN114821485A - Construction site bare recognition processing method and device, electronic equipment and storage medium - Google Patents
Construction site bare recognition processing method and device, electronic equipment and storage medium Download PDFInfo
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- CN114821485A CN114821485A CN202210738745.2A CN202210738745A CN114821485A CN 114821485 A CN114821485 A CN 114821485A CN 202210738745 A CN202210738745 A CN 202210738745A CN 114821485 A CN114821485 A CN 114821485A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
Abstract
The application discloses a construction site exposed identification processing method, a device, electronic equipment and a storage medium, which belong to the technical fields of buildings, gardens, traffic, water utilities and the like, wherein the construction site exposed identification processing method comprises the following steps: acquiring construction site image information of a construction site; inputting the construction site image information into a machine learning model, and analyzing and studying and judging the covering behavior of the construction site; and when the proportion of the exposed area of the construction site reaches a preset value and the construction site is not constructed, sending out covering warning information. The method can automatically identify the problem that loess is uncovered or not covered tightly, save manpower and material resources, thoroughly solve the problem of dust raising caused by the fact that no covering or not covered tightly is arranged on the construction site of a construction site, and ensure the health of urban environment.
Description
Technical Field
The application belongs to the technical field of buildings, gardens, traffic, water utilities and the like, and particularly relates to a construction site bare identification processing method and device, electronic equipment and a storage medium.
Background
At present, China is in steady development of super-huge cities and big cities, actively develops middle and small cities, and has key development of small towns, so that the big, middle and small cities and the small towns develop coordinately. The construction site can be seen everywhere in the process of urbanization construction.
The site environment of a construction site is complex, and if the land of a non-operation area is exposed greatly, once the land meets the weather of strong wind, dust flies, the urban environment is seriously influenced, and the body health of urban residents is seriously influenced.
Disclosure of Invention
The application aims to provide a construction site exposed identification processing method and device, electronic equipment and a storage medium so as to solve the problem that dust flies in the existing construction site.
According to a first aspect of the embodiments of the present application, there is provided a method for identifying and processing bare construction sites, the method may include:
acquiring construction site image information of a construction site;
inputting the construction site image information into a machine learning model, and analyzing and studying and judging the covering behavior of the construction site;
and when the proportion of the exposed area of the construction site reaches a preset value and the construction site is not constructed, sending out covering warning information.
In some optional embodiments of the present application, the analyzing and determining a straw mat behavior of the worksite includes:
the method comprises the steps of earthwork stacking area characteristic identification, ground dustproof facility coverage characteristic identification, construction site non-covering characteristic identification, covering non-tight characteristic identification, construction machinery movement characteristic identification, construction mechanical arm expansion characteristic identification and construction mechanical arm steering characteristic identification.
In some optional embodiments of the present application, said analyzing and evaluating a tarpaulin row of said construction site specifically comprises:
identifying the construction site exposed area of the earthwork stacking area in the construction site image information;
when the exposed area of the construction site is larger than or equal to a preset value, identifying the construction condition of the construction site;
and when the construction condition of the construction site is non-construction, determining that the earthwork stacking area is not covered.
In some optional embodiments of the present application, the identifying the construction condition of the worksite includes:
the method comprises the steps of identifying the telescopic characteristic of the construction mechanical arm, identifying the steering characteristic of the construction mechanical arm, identifying the construction characteristic of a worker on an operation face and identifying the loading and unloading characteristic of an operation muck truck.
In some optional embodiments of the present application, the preset value is between 10% and 60%;
the covering warning information is covering untight warning information.
In some optional embodiments of the present application, the preset value is greater than 60%;
the covering warning information is that the covering is not covered.
In some optional embodiments of the present application, after the sending of the straw mat covering warning information, the method for processing naked identification at a construction site further includes:
carrying out secondary analysis and judgment on the straw mat cover warning information;
and carrying out iterative updating on the machine learning model according to the analysis and judgment result.
According to a second aspect of embodiments of the present application, there is provided a construction site exposure identification processing apparatus, which may include:
the acquisition module is used for acquiring construction site image information of a construction site;
the covering behavior analysis module is used for inputting the construction site image information into a machine learning model and analyzing and studying and judging the covering behavior of the construction site;
and the warning module is used for working when the proportion of the exposed area of the construction site reaches a preset value and when the construction site is not constructed, sending straw mat covering warning information.
According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, which may include:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute instructions to implement a method of job site exposure identification processing as shown in any embodiment of the first aspect.
According to a fourth aspect of the embodiments of the present application, there is provided a storage medium in which instructions are executed by a processor of an information processing apparatus or a server to cause the information processing apparatus or the server to implement the construction site exposure identification processing method as shown in any one of the embodiments of the first aspect.
The technical scheme of the application has the following beneficial technical effects:
according to the method, the construction site image information of the construction site is obtained and input into the machine learning model, covering behaviors of the construction site are analyzed and judged, and covering warning information is sent out when the exposed area proportion of the construction site reaches a preset value and the construction site is not constructed. The method can automatically identify the problem that the loess is uncovered or not covered tightly, save manpower and material resources, thoroughly solve the problem of dust raising caused by uncovering or not covering tightly on the construction site of the construction site, and ensure the health of the urban environment.
Drawings
FIG. 1 is a flow chart of a method for job site exposure identification processing in an exemplary embodiment of the present application;
FIG. 2 is a schematic structural diagram of a construction site exposure identification processing device in an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram of an electronic device according to an exemplary embodiment of the present application;
fig. 4 is a schematic diagram of a hardware structure of an electronic device in an exemplary embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings in combination with the detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present application. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present application.
In the drawings, a schematic diagram of a layer structure according to an embodiment of the application is shown. The figures are not drawn to scale, wherein certain details are exaggerated and possibly omitted for clarity. The shapes of various regions, layers, and relative sizes and positional relationships therebetween shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, as actually required.
It is to be understood that the embodiments described are only a few embodiments of the present application and not all 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 application.
In the description of the present application, it is noted that the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In addition, the technical features mentioned in the different embodiments of the present application described below may be combined with each other as long as they do not conflict with each other.
The construction site bare identification processing method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
As shown in fig. 1, in a first aspect of the embodiments of the present application, there is provided a method for identifying bare site on a construction site, where the method may include:
s110: acquiring construction site image information of a construction site;
s120: inputting the construction site image information into a machine learning model, and analyzing and studying and judging the covering behavior of the construction site;
s130: and when the proportion of the exposed area of the construction site reaches a preset value and the construction site is not constructed, sending out covering warning information.
According to the method, the construction site image information of the construction site is obtained and input into the machine learning model, the covering behavior of the construction site is analyzed and judged, and when the exposed area proportion of the construction site reaches the preset value and the construction site is not constructed, covering warning information is sent out. The method can automatically identify the problem that the loess is uncovered or not covered tightly, save manpower and material resources, thoroughly solve the problem of dust raising caused by uncovering or not covering tightly on the construction site of the construction site, and ensure the health of the urban environment.
For the sake of clarity, the following description will be made for the above steps respectively
Firstly, S110: and acquiring construction site image information of the construction site.
The step can be to use the construction site high-point monitoring camera to collect images in the construction site area, comprehensively utilize the construction site high-point camera, and improve the accuracy of the covering behavior monitoring due to multi-angle and multi-azimuth video resources. The step can analyze the effectiveness of the collected picture, and judge whether the data picture meets the requirements or not and whether the example identification requirements can be met or not.
Then S120: and inputting the construction site image information into a machine learning model, and analyzing and studying and judging the covering behavior of the construction site.
The step can analyze the collected video stream or picture, and analyze and judge seven aspects of earthwork stacking area characteristic identification, ground dustproof facility covering characteristic identification, construction site non-covering characteristic identification, covering non-tight characteristic identification, construction machinery moving characteristic identification, construction mechanical arm stretching characteristic identification and construction mechanical arm steering characteristic identification so as to obtain accurate covering behavior of the construction site.
Finally, S130: and when the proportion of the exposed area of the construction site reaches a preset value and the construction site is not constructed, sending out covering warning information.
Specifically, the identification process of the above steps may include:
step 1: according to the identification model, firstly identifying whether the characteristics of the construction operation surface are met or not, and judging whether the construction operation surface is the construction operation surface or not;
step 2: judging the working surface and identifying whether the working surface is an earthwork stacking area;
and step 3: identifying and judging the dustproof facilities on the ground to determine whether the facilities are in a covered form;
and 4, step 4: judging the covering condition of a construction site, and covering when the exposed area of the construction site is less than 10 percent; when the exposed area of the construction site is between 10 and 60 percent, the covering is not tight; the exposed area of the construction site reaches more than 60 percent, and the construction site is judged to be not covered with a mat;
and 5: when the identification result is the result that the covering is not covered or not covered tightly, identifying whether construction is carried out or not in the field, wherein the identification comprises construction mechanical arm telescopic characteristic identification, construction mechanical arm steering characteristic identification, operation face personnel construction characteristic identification, operation muck truck loading and unloading identification and the like, and the construction work is carried out in the area;
step 6: according to the example result, when people, vehicles and machines are constructed in the construction area, the reasonable phenomenon is judged; when no person, vehicle or mechanical construction exists in the area, when the exposed area of the construction site is 10-60%, determining that the covering is not tight, and automatically generating warning information that the covering is not tight on the construction site; and judging that the construction site is not covered when the exposed area of the construction site reaches more than 60 percent, and automatically generating warning information that the construction site is not covered.
In summary, the method of the embodiment comprehensively considers a plurality of factors such as the complex environment of the construction site, whether the construction is in progress and the like, and has stronger feasibility and better effect; analyzing and studying and judging seven aspects of earthwork stacking area characteristic identification, ground dustproof facility coverage characteristic identification, construction site non-covered characteristic identification, covered non-tight characteristic identification, construction machinery movement characteristic identification, construction mechanical arm expansion characteristic identification and construction mechanical arm steering characteristic identification to form a final identification result and improve the identification accuracy.
In some optional embodiments of the present application, the analyzing and determining a straw mat behavior of the worksite includes:
the method comprises the steps of earthwork stacking area characteristic identification, ground dustproof facility coverage characteristic identification, construction site non-covering characteristic identification, covering non-tight characteristic identification, construction machinery movement characteristic identification, construction mechanical arm expansion characteristic identification and construction mechanical arm steering characteristic identification.
The method comprehensively considers a plurality of factors such as the complex environment of the construction site, whether the construction is in progress and the like, and has stronger feasibility and better effect; and analyzing and studying and judging seven aspects of earth piling area characteristic identification, ground dustproof facility coverage characteristic identification, construction site non-covered characteristic identification, covered non-tight characteristic identification, construction machinery movement characteristic identification, construction mechanical arm stretching characteristic identification and construction mechanical arm steering characteristic identification to form a final identification result and improve the identification accuracy.
In some optional embodiments of the present application, said analyzing and evaluating a tarpaulin row of said construction site specifically comprises:
identifying the construction site exposed area of the earthwork stacking area in the construction site image information;
when the exposed area of the construction site is larger than or equal to a preset value, identifying the construction condition of the construction site;
and when the construction condition of the construction site is non-construction, determining that the earthwork stacking area is not covered.
In some optional embodiments of the present application, the identifying the construction condition of the worksite includes:
the method comprises the steps of identifying the telescopic characteristic of the construction mechanical arm, identifying the steering characteristic of the construction mechanical arm, identifying the construction characteristic of a worker on an operation face and identifying the loading and unloading characteristic of an operation muck truck.
In some optional embodiments of the present application, the preset value is between 10% and 60%;
the covering warning information is covering untight warning information.
In some optional embodiments of the present application, the preset value is greater than 60%;
and covering warning information is that the cover is not covered.
In some optional embodiments of the present application, after the sending of the straw mat covering warning information, the method for processing naked identification at a construction site further includes:
carrying out secondary analysis and judgment on the straw mat cover warning information;
and carrying out iterative updating on the machine learning model according to the analysis and judgment result.
According to the embodiment, the recognition result is analyzed and judged for the second time, a learning mechanism is established, the recognition algorithm is continuously updated and perfected, the recognition accuracy is provided, the problem of dust emission caused by the fact that no covering is arranged on a construction site of a construction site or the covering is not tight is thoroughly solved, and the urban environment is guaranteed to be healthy.
In the method for identifying and processing the exposure of the construction site provided by the embodiment of the present application, the execution main body may be a construction site exposure identification processing apparatus, or a control module of the construction site exposure identification processing apparatus for executing the method for identifying and processing the exposure of the construction site. In the embodiment of the present application, a method for performing a job site exposure identification process by using a job site exposure identification processing apparatus is taken as an example, and the apparatus for performing a job site exposure identification process according to the embodiment of the present application is described.
As shown in fig. 2, in a second aspect of the embodiments of the present application, there is provided a construction site exposure identification processing apparatus, which may include:
an obtaining module 210, configured to obtain construction site image information of a construction site;
a covering behavior analysis module 220, configured to input the construction site image information into a machine learning model, and analyze and study a covering behavior of the construction site;
and the warning module 230 is used for sending straw mat covering warning information when the proportion of the exposed area of the construction site reaches a preset value and the construction site is not constructed.
Above-mentioned embodiment device is through the construction scene image information who acquires the building site to in the middle of the construction scene image information input machine learning model, the behavior of covering on analysis and study judgement building site, when the exposed area proportion of building site reaches the default and the building site is not under construction, send covering warning information. The device can automatically identify the problem that loess is uncovered or not covered tightly, saves manpower and material resources, can thoroughly solve the problem of dust raising caused by the fact that the construction site is not covered or not covered tightly, and ensures the health of urban environment.
The construction site exposed identification processing device in the embodiment of the application can be a device, and also can be a component, an integrated circuit or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.
The construction site exposure identification processing device in the embodiment of the application can be a device with an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.
The construction site exposure identification processing device provided by the embodiment of the application can realize each process realized by the method embodiment of fig. 1, and is not repeated here to avoid repetition.
Optionally, as shown in fig. 3, an electronic device 300 is further provided in this embodiment of the present application, and includes a processor 301, a memory 302, and a program or an instruction stored in the memory 302 and capable of being executed on the processor 301, where the program or the instruction is executed by the processor 301 to implement each process of the embodiment of the method for processing bare site identification on a job site, and can achieve the same technical effect, and is not described herein again to avoid repetition.
It should be noted that the electronic device in the embodiment of the present application includes the mobile electronic device and the non-mobile electronic device described above.
Fig. 4 is a schematic diagram of a hardware structure of an electronic device implementing the embodiment of the present application.
The electronic device 400 includes, but is not limited to: radio unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, and processor 410.
Those skilled in the art will appreciate that the electronic device 400 may further include a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 410 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 4 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.
It should be understood that in the embodiment of the present application, the input Unit 404 may include a Graphics Processing Unit (GPU) 4041 and a microphone 4042, and the Graphics processor 4041 processes image data of a still picture or a video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 406 may include a display panel 4061, and the display panel 4061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 407 includes a touch panel 4071 and other input devices 4072. A touch panel 4071, also referred to as a touch screen. The touch panel 4071 may include two parts, a touch detection device and a touch controller. Other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 409 may be used to store software programs as well as various data including, but not limited to, application programs and an operating system. The processor 410 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 410.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the above-mentioned construction site exposure identification processing method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
The embodiment of the application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled with the processor, the processor is used for running programs or instructions, so that each process of the construction site exposed identification processing method embodiment is realized, the same technical effect can be achieved, and the details are not repeated here to avoid repetition.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the present embodiments are not limited to those precise embodiments, which are intended to be illustrative rather than restrictive, and that various changes and modifications may be effected therein by one skilled in the art without departing from the scope of the appended claims.
Claims (10)
1. A construction site bare identification processing method is characterized by comprising the following steps:
acquiring construction site image information of a construction site;
inputting the construction site image information into a machine learning model, and analyzing and studying and judging the covering behavior of the construction site;
and when the proportion of the exposed area of the construction site reaches a preset value and the construction site is not constructed, sending out covering warning information.
2. The method of claim 1, wherein the analyzing and determining the covering behavior of the construction site comprises:
the method comprises the steps of earthwork stacking area characteristic identification, ground dustproof facility coverage characteristic identification, construction site non-covering characteristic identification, covering non-tight characteristic identification, construction machinery movement characteristic identification, construction mechanical arm expansion characteristic identification and construction mechanical arm steering characteristic identification.
3. The method for identifying and processing bare construction site according to claim 1, wherein the analyzing and determining the covering row of the construction site specifically comprises:
identifying the construction site exposed area of the earthwork stacking area in the construction site image information;
when the exposed area of the construction site is larger than or equal to a preset value, identifying the construction condition of the construction site;
and when the construction condition of the construction site is non-construction, determining that the earthwork stacking area is not covered.
4. The method of claim 3, wherein said identifying the construction condition of the worksite comprises:
the method comprises the steps of identifying the telescopic characteristic of the construction mechanical arm, identifying the steering characteristic of the construction mechanical arm, identifying the construction characteristic of a worker on an operation face and identifying the loading and unloading characteristic of an operation muck truck.
5. The method for identifying and processing the bare concrete on the construction site according to claim 1, wherein the preset value is between 10% and 60%;
the covering warning information is covering untight warning information.
6. The method for identifying and processing the bare concrete on the construction site according to claim 1, wherein when the preset value is more than 60%;
and covering warning information is that the cover is not covered.
7. The method for identifying and processing the bare construction site according to claim 1, wherein after the step of sending out the straw mat covering warning information, the method for identifying and processing the bare construction site further comprises the following steps:
carrying out secondary analysis and judgment on the straw mat cover warning information;
and carrying out iterative updating on the machine learning model according to the analysis and judgment result.
8. A construction site exposure identification processing device is characterized by comprising:
the acquisition module is used for acquiring construction site image information of a construction site;
the covering behavior analysis module is used for inputting the construction site image information into a machine learning model and analyzing and studying and judging the covering behavior of the construction site;
and the warning module is used for working when the proportion of the exposed area of the construction site reaches a preset value and when the construction site is not constructed, sending straw mat covering warning information.
9. An electronic device, comprising: a processor, a memory and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the method of job site exposure identification processing according to any one of claims 1-7.
10. A readable storage medium storing thereon a program or instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210738745.2A CN114821485A (en) | 2022-06-28 | 2022-06-28 | Construction site bare recognition processing method and device, electronic equipment and storage medium |
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| CN202210738745.2A CN114821485A (en) | 2022-06-28 | 2022-06-28 | Construction site bare recognition processing method and device, electronic equipment and storage medium |
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| CN116189000A (en) * | 2022-11-11 | 2023-05-30 | 北京市测绘设计研究院 | Land parcel analysis method and apparatus |
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| CN113989722A (en) * | 2021-11-03 | 2022-01-28 | 北京赛博星通科技有限公司 | Muck truck compliance judgment method and system and storage medium |
| CN114445780A (en) * | 2022-02-10 | 2022-05-06 | 青岛熙正数字科技有限公司 | Detection method and device for bare soil covering, and training method and device for recognition model |
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| US20170097227A1 (en) * | 2015-10-06 | 2017-04-06 | Mark E. Sanders | Construction Site Monitoring System |
| CN110909599A (en) * | 2019-10-16 | 2020-03-24 | 北京文安智能技术股份有限公司 | Detection method, device and system for covering of muck truck |
| CN113989722A (en) * | 2021-11-03 | 2022-01-28 | 北京赛博星通科技有限公司 | Muck truck compliance judgment method and system and storage medium |
| CN114445780A (en) * | 2022-02-10 | 2022-05-06 | 青岛熙正数字科技有限公司 | Detection method and device for bare soil covering, and training method and device for recognition model |
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| CN116189000A (en) * | 2022-11-11 | 2023-05-30 | 北京市测绘设计研究院 | Land parcel analysis method and apparatus |
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