CN116597604A - Assembly type intelligent construction site safety early warning system, method, equipment and medium - Google Patents
Assembly type intelligent construction site safety early warning system, method, equipment and medium Download PDFInfo
- Publication number
- CN116597604A CN116597604A CN202310230894.2A CN202310230894A CN116597604A CN 116597604 A CN116597604 A CN 116597604A CN 202310230894 A CN202310230894 A CN 202310230894A CN 116597604 A CN116597604 A CN 116597604A
- Authority
- CN
- China
- Prior art keywords
- construction site
- intelligent
- image
- early warning
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 98
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000007689 inspection Methods 0.000 claims abstract description 48
- 230000010365 information processing Effects 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims description 29
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000009412 basement excavation Methods 0.000 abstract description 8
- 238000012423 maintenance Methods 0.000 description 10
- 239000002689 soil Substances 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 6
- 229910000831 Steel Inorganic materials 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000010959 steel Substances 0.000 description 5
- 238000006073 displacement reaction Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000001360 synchronised effect Effects 0.000 description 4
- 239000000463 material Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000004035 construction material Substances 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 230000002787 reinforcement Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application belongs to the field of construction inspection, and in particular relates to an assembled intelligent building site safety early warning system, method, equipment and medium, wherein the system is arranged at a construction site and comprises the following components: the intelligent inspection robot is used for periodically acquiring video data and image data of a construction site through image acquisition equipment and transmitting the acquired data to the information processing and early warning subsystem; the construction site track subsystem is used for providing a driving route for the intelligent construction site inspection robot to collect video data and image data of a construction site; the information processing and early warning subsystem is used for carrying out three-dimensional modeling based on the received video data and image data, and monitoring deformation of a measured area in a construction site based on a three-dimensional modeling result; and generating alarm prompt information when the deformation rate is higher than a preset rate threshold value. The system reduces the labor cost by automatically monitoring the deformation of the detected area, improves the excavation depth and the utilization rate of the monitored data, and can discover accident potential in time.
Description
Technical Field
The application belongs to the field of construction inspection, and particularly relates to an assembled intelligent building site safety early warning system, method, equipment and medium.
Background
The assembled building takes the prefabricated production field assembly type installation of the component factory as a mode, and has the characteristics of energy conservation, environmental protection, sustainable development and the like, and is designed in a standardized manner, produced in a factory manner and constructed in an assembled manner. In a construction site, particularly a deep and large foundation pit, the construction site is often under a complex environment and construction conditions, the deformation conditions of a supporting system and soil body are often disturbed by external factors to generate severe changes, and sudden collapse of the foundation pit can be caused when severe, so that serious economic loss and casualties are caused. Therefore, the inspection work is required to be carried out at high frequency in all weather, and the piling and unloading conditions around the foundation pit and the service state of the supporting member are observed to determine the stability conditions of soil around the foundation pit and the foundation pit supporting system.
In the traditional construction and supervision work, experienced technicians are usually required to go deep into the field to conduct field investigation and inspection, surrounding environmental factors and the service state of the components are described in a manual recording mode, the mode not only consumes high labor cost, but also can not mine deep data information on field data in a manual judgment mode, and therefore accident hidden dangers cannot be found timely.
Therefore, how to reduce the labor cost and improve the mining depth and the utilization rate of the inspection data at the same time, and timely find accident hidden trouble becomes a technical problem to be solved urgently.
Disclosure of Invention
First, the technical problem to be solved
In view of the foregoing drawbacks and deficiencies of the prior art, the present application provides an assembled intelligent worksite safety precaution system, method, apparatus and medium.
(II) technical scheme
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides an image processing-based assembled intelligent worksite safety early warning system, where the system includes a worksite intelligent inspection robot, a worksite track subsystem and an information processing and early warning device, where the worksite intelligent inspection robot is disposed on the worksite track subsystem, and the worksite intelligent inspection robot is in communication connection with the information processing and early warning device;
the intelligent inspection robot is used for periodically acquiring video data and image data of a construction site through image acquisition equipment and sending the acquired data to the information processing and early warning subsystem;
the construction site track subsystem is used for providing a driving route for the intelligent construction site inspection robot to collect video data and image data of a construction site;
the information processing and early warning subsystem is used for carrying out three-dimensional modeling based on the received video data and image data, and monitoring deformation of a detected area in the construction site based on a three-dimensional modeling result; and when the deformation rate is higher than a preset rate threshold value, generating alarm prompt information.
Optionally, its characterized in that, the intelligent inspection robot in building site includes: the device comprises an image acquisition unit, a supporting transmission device and a data transmission unit; the image acquisition unit is arranged on the supporting transmission device, and the image acquisition unit is in communication connection with the data transmission unit.
Optionally, the image acquisition unit comprises a high-definition camera and an IMU cradle head, wherein the IMU cradle head is used for generating spatial position information and spatial posture information of the high-definition camera when the intelligent inspection robot of the construction site runs, and the high-definition camera is used for acquiring video data of the measured area.
Optionally, the information processing and early warning device comprises an information processing server and an audible and visual alarm.
In a second aspect, an embodiment of the present application provides an image processing-based assembly intelligent building site security early warning method, which is applied to the information processing and early warning subsystem according to any one of the first aspect, and the method includes the following steps:
s1, acquiring video data and image data of a construction site which are periodically acquired by an intelligent inspection robot of the construction site;
s2, carrying out three-dimensional modeling on the construction site based on the video data and the image data to obtain a three-dimensional model of the construction site;
s3, monitoring deformation of a measured area in the construction site based on the three-dimensional model of the construction site, and generating deformation rate;
and S4, when the deformation rate is higher than a preset rate threshold value, generating alarm prompt information of the detected area.
Optionally, the video data and the image data include spatial position information and spatial pose information of an image acquisition device.
Optionally, step S2 includes:
aligning the image data by adopting an aerial triangulation method to obtain an image control point;
based on the image control points, the spatial position information and the spatial posture information, performing error correction on the image data by adopting a beam adjustment method;
and carrying out close-range photogrammetry and modeling on the construction site by adopting an SfM analysis algorithm to obtain a three-dimensional model of the construction site.
Optionally, step S3 includes:
performing point cloud addition and subtraction operation according to the three-dimensional models of construction sites in different time periods to obtain a difference point cloud,
based on the difference point cloud, calculating the deformation of the measured area in the construction site;
and calculating the real-time deformation rate of the detected area based on the deformation of the detected area.
In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the image processing based assembled intelligent worksite safety precaution method of any of the above second aspects.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, the computer program, when executed by the processor, implementing the steps of the image processing-based assembled intelligent worksite safety precaution method according to any one of the second aspects above.
(III) beneficial effects
The beneficial effects of the application are as follows: the application provides an assembled intelligent building site safety early warning system, an assembled intelligent building site safety early warning method, assembled intelligent building site safety early warning equipment and a medium, wherein the assembled intelligent building site safety early warning system comprises: the intelligent inspection robot is used for periodically acquiring video data and image data of a construction site through image acquisition equipment and transmitting the acquired data to the information processing and early warning subsystem; the construction site track subsystem is used for providing a driving route for the intelligent construction site inspection robot to collect video data and image data of a construction site; the information processing and early warning subsystem is used for carrying out three-dimensional modeling based on the received video data and image data, and monitoring deformation of a measured area in a construction site based on a three-dimensional modeling result; and generating alarm prompt information when the deformation rate is higher than a preset rate threshold value. The system reduces the labor cost by automatically monitoring the deformation of the detected area, improves the excavation depth and the utilization rate of the monitored data, and can discover accident potential in time.
Drawings
The application is described with the aid of the following figures:
FIG. 1 is a schematic diagram of an image processing-based assembled intelligent building site safety warning system according to one embodiment of the present application;
FIG. 2 is a schematic diagram of a maintenance platform according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of an image processing-based assembly intelligent building site safety pre-warning method according to an embodiment of the application;
fig. 4 is a schematic diagram of an architecture of an electronic device according to an embodiment of the application.
Reference numerals:
1-a building site intelligent inspection robot, a 2-building site track subsystem and a 3-information processing and early warning device;
21-robot inspection tracks, 22-supporting steel column nets and 23-equipment maintenance platforms;
231-ceiling, 232-working platform, 233-supporting column net, 234-supporting truss, 235-cat ladder, 236-cat ladder protective fence and enclosure baffle plate-237;
an information processing server 31 and an audible and visual annunciator 32;
41-foundation pit crown beams, 42-foundation pit retaining walls, 43-construction materials, 44-surrounding soil excavation and 45-soil piles.
Detailed Description
The application will be better explained for understanding by referring to the following detailed description of the embodiments in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described below are merely illustrative of the related application, and not restrictive of the application. In addition, it should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other; for convenience of description, only parts related to the application are shown in the drawings.
Example 1
Fig. 1 is a schematic structural diagram of an image processing-based assembled intelligent building site safety pre-warning system according to an embodiment of the present application, as shown in fig. 1, the image processing-based assembled intelligent building site safety pre-warning system according to the embodiment includes: the intelligent inspection robot 1 is arranged on the construction site, and the intelligent inspection robot 1 is in communication connection with the information processing and early warning device 3;
the intelligent inspection robot 1 for construction sites is used for periodically collecting video data and image data of construction sites through image collecting equipment and sending the collected data to the information processing and early warning subsystem 3;
the construction site track subsystem 2 is used for providing a driving route for the construction site intelligent patrol robot 1 to collect video data and image data of a construction site;
the information processing and early warning subsystem 3 is used for carrying out three-dimensional modeling based on the received video data and image data and monitoring deformation of a measured area in a construction site based on a three-dimensional modeling result; and when the deformation rate is higher than a preset rate threshold value, generating alarm prompt information.
The assembled intelligent building site safety early warning system based on image processing is used as a high-efficiency digital and full-automatic intelligent building site management early warning platform, so that deformation of a detected area can be automatically monitored, the patrol interval time can be shortened, and the patrol labor cost is reduced; and the mining depth and the utilization rate of the monitoring data are improved, so that accident hidden dangers can be found in time, and the best opportunity of reinforcement, rescue and evacuation is ensured.
The early warning system of the embodiment is applied to a construction site, for example, the construction site may be a foundation pit construction site, and specifically includes a foundation pit crown beam 41, a foundation pit retaining wall 42, a construction material 43, a surrounding soil body excavation 44, and a soil pile 45.
In this embodiment, the intelligent inspection robot 1 for a construction site may include: the device comprises an image acquisition unit, a supporting transmission device and a data transmission unit; the image acquisition unit is arranged on the supporting transmission device and is in communication connection with the data transmission unit.
In this embodiment, the image acquisition unit includes high definition digtal camera and inertial measurement unit (Inertial Measurement Unit, IMU) cloud platform, and IMU cloud platform is used for generating space position information and the space gesture information of high definition digtal camera when building site intelligence inspection robot operates, and high definition digtal camera is used for gathering the video data of region.
In order to increase the field of view of the automatic inspection robot and realize full-space and all-dimensional photogrammetry operation, information is convenient to receive and position, and a carrying track needs to be established as a main running route of the inspection robot. In this embodiment, the worksite rail subsystem 2 includes a robot inspection rail 21, a supporting steel column net 22, and an equipment maintenance platform 23. The carrying track is used as a main running route of the inspection robot and mainly comprises an assembled track subgrade and a profile steel rail; the track bed and the steel rail are in an assembled structure, so that the disassembly and the assembly are convenient during use, and the service life and the service frequency of related equipment are increased; in the weak stratum area, independent foundations are arranged below the support columns, so that the influence caused by uneven settlement is reduced as much as possible.
At the same time, the maintenance platform 23 should be arranged at a place with less shielding around and larger space. The maintenance platform 23 is mainly used for debugging and maintaining equipment, and performs data calibration of a regular observation reference point, so that the running stability of the equipment and the accuracy of measurement data are ensured.
Fig. 2 is a schematic view of a maintenance platform structure according to an embodiment of the present application, which mainly includes a ceiling 231, a working platform 232, a supporting column net 233, a supporting truss 234, a containment barrier 237, a ladder 235, and a ladder protection fence 236 as shown in fig. 2. In order to facilitate the supplement and maintenance of the electric quantity of the equipment, the maintenance platform is provided with a space operation surface which is ensured to be sufficient; the assembled truss structure and the external application retaining baffle 337 are connected with the adjacent section steel support columns 22, so that the detachability of the maintenance platform and the integral stability of the structure can be simultaneously considered.
In this embodiment, the information processing and early warning subsystem 3 is disposed in a construction site, and the information processing and early warning device includes an information processing server 31 and an audible and visual alarm 32. Specifically, the information processing server 31 may be an array server.
In order to ensure the calculation efficiency, the configuration of I7-12700 processor and more than 32G memory is preferably adopted for a single server.
Based on the assembled intelligent construction site safety early warning system of the embodiment, the intelligent and digital management and control of the construction site can be realized by analyzing the condition of the construction site in real time.
Example two
Fig. 3 is a schematic flow chart of an image processing-based assembly intelligent building site safety pre-warning method according to an embodiment of the application, as shown in fig. 3, the method includes the following steps:
s1, acquiring video data and image data of a construction site which are periodically acquired by an intelligent inspection robot of the construction site;
s2, carrying out three-dimensional modeling on the construction site based on the video data and the image data to obtain a three-dimensional model of the construction site;
s3, monitoring deformation of a measured area in the construction site based on the three-dimensional model of the construction site, and generating deformation rate;
and S4, when the deformation rate is higher than a preset rate threshold value, generating alarm prompt information of the detected area.
The image processing-based assembled intelligent construction site safety pre-warning method can be applied to a system comprising equipment such as a full-automatic inspection robot, a track, a maintenance platform facility of the track and a central data processing and alarming system. The method can be used for 24-hour uninterrupted inspection work of a construction site, particularly a foundation pit construction site by combining a photogrammetry technology, and can effectively evaluate and analyze the safety condition of the construction site in real time by combining a big data analysis and point cloud model comparison calculation method, so that the intelligent management of the construction site is realized.
The early warning method of the embodiment can be applied to the information processing and early warning subsystem of the first embodiment. The information processing and early warning subsystem can execute the early warning method of the embodiment through a carried software system. The type of the electronic device on which the software system executes the early warning method of the embodiment may be a notebook computer, a server, or the like. The present application is not particularly limited to the specific type of electronic device.
In this embodiment S1, the video data and the image data include spatial position information and spatial orientation information of the image capturing apparatus. The method for the intelligent inspection robot on the construction site to periodically collect video data and image data of the construction site is as follows:
and (3) operating the automatic inspection robot according to a fixed period, and collecting video data and high-definition image data. When the image data is acquired, the overlapping rate is more than 70%, and at least 4 high-definition images with different angles and positions are arranged in the same detected area, so that the analysis accuracy is ensured. Meanwhile, the IMU equipment is used for recording position and attitude measurement system (position and orientation system, POS) data of the automatic inspection robot when the data are recorded, and the POS data comprise space GNSS coordinate information, camera space attitude information and the like.
For example, a communication connection can be established between the intelligent inspection robot on the construction site and a server executing the method according to the embodiment through a wireless network, and the server receives the video image sent by the intelligent inspection robot on the construction site through the established communication connection.
In this embodiment, step S2 includes:
aligning the image data by adopting an aerial triangulation method to obtain an image control point;
based on the image control points, the spatial position information and the spatial attitude information, performing error correction on the image data by adopting a beam adjustment method;
and (5) carrying out close-range photogrammetry and modeling on the construction site by adopting a motion structural rule (Structure from Motion, sfM) analysis algorithm to obtain a three-dimensional model of the construction site.
Specifically, aiming at the foundation pit shown in fig. 1, an aerial triangulation method is used for aligning image data, an image key control point is analyzed, based on the coordinates, a light beam adjustment method is used for error correction in combination with POS data and attitude data, and a SfM analysis algorithm is used for close-range photogrammetry on the whole construction site, so that a full-space three-dimensional high-density point cloud model of the foundation pit is obtained.
In other alternative embodiments, step S2 further includes:
determining a detected region based on the video data;
and updating the three-dimensional model of the construction site based on the image data of the measured area.
For example, the displacement deformation of the area near the foundation pit can be greatly influenced by the excavation and stacking area of the construction site, so that the construction site is patrolled through videos, and when the earth excavation occurs on the monitoring site or the weight enters the site and is stacked, the soil excavation or the stacking area is fed back to the close-range photogrammetry system in time to acquire the measurement image set again, so that the three-dimensional point cloud model at the current moment is updated in real time.
In this embodiment, step S3 includes:
performing point cloud addition and subtraction according to the three-dimensional models of construction sites in different time periods to obtain a difference point cloud;
based on the difference point cloud, calculating the deformation of the measured area in the construction site;
the real-time deformation rate of the region to be measured is calculated based on the deformation amount of the region to be measured.
For example, after modeling is completed, performing point cloud addition and subtraction operation according to modeling results of different time periods to obtain a difference point cloud, observing the conditions of material accumulation, site excavation and the like of the whole construction site in real time, calculating deformation conditions of the measured construction site region, and calculating real-time displacement change rates of the regions. And carrying out real-time display of the three-dimensional model and the displacement change model on the display terminal through a computer visualization technology.
In step S4 of this embodiment, when the deformation rate is higher than the preset rate threshold value, an alarm prompt message of the detected region is generated. The preset rate threshold may set the rate thresholds of different regions according to the deformation required by the specification. And carrying out deformation analysis by combining the point cloud calculation result, and carrying out real-time early warning and forecasting by the early warning and forecasting system when the deformation rate of the local area is obviously higher than the standard requirement.
For example, when the deformation rate of the local area approaches to the set threshold value, the early warning may be performed by performing a form of warning lamp; when the deformation rate of the local area is obviously higher than the standard requirement, real-time early warning and forecasting are carried out in a voice alarm mode, so that engineering personnel are reminded of paying attention, and the possibility of engineering accidents is reduced as much as possible.
Preferably, the results of the scientific calculation and the displacement deformation calculation can be reflected on the display terminal in a three-dimensional model form, so that later analysis and processing of engineering technicians are facilitated.
By the method, the complex inspection process of the construction site, especially the foundation pit construction site is optimized, and all-weather 24-hour uninterrupted inspection and identification are realized. Meanwhile, by means of a full-automatic inspection robot and a full-automatic digital monitoring system which are connected with a digital image recognition system, real-time observation and early warning and forecasting of a construction site are realized, and the inspection data acquisition period is greatly shortened. The inspection efficiency is further improved, the whole state and the safety condition of the construction site are effectively evaluated and analyzed in real time by combining the big data analysis and the point cloud model comparison calculation method, the intelligent management of the construction site is realized, and more targeted and instructive comments can be given.
Example III
A third aspect of the present application provides an electronic device, comprising: the steps of the image processing-based assembled intelligent building site safety warning method according to any one of the above embodiments are implemented when the computer program is executed by the processor.
Fig. 4 is a schematic diagram of an architecture of an electronic device according to an embodiment of the application.
The electronic device shown in fig. 4 may include: at least one processor 101, at least one memory 102, at least one network interface 104, and other user interfaces 103. The various components in the electronic device are coupled together by a bus system 105. It is understood that the bus system 105 is used to enable connected communications between these components. The bus system 105 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for clarity of illustration the various buses are labeled as bus system 105 in fig. 4.
The user interface 103 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, a trackball (trackball), or a touch pad, etc.).
It will be appreciated that the memory 102 in this embodiment may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a Read-only memory (ROM), a programmable Read-only memory (ProgrammableROM, PROM), an erasable programmable Read-only memory (ErasablePROM, EPROM), an electrically erasable programmable Read-only memory (ElectricallyEPROM, EEPROM), or a flash memory, among others. The volatile memory may be a random access memory (RandomAccessMemory, RAM) that acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic random access memory (DynamicRAM, DRAM), synchronous dynamic random access memory (SynchronousDRAM, SDRAM), double data rate synchronous dynamic random access memory (ddr SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous link dynamic random access memory (SynchlinkDRAM, SLDRAM), and direct memory bus random access memory (DirectRambusRAM, DRRAM). The memory 102 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some implementations, the memory 102 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system 1021, and application programs 1022.
The operating system 1021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. Applications 1022 include various applications for implementing various application services. A program for implementing the method of the embodiment of the present application may be included in the application program 1022.
In an embodiment of the present application, the processor 101 is configured to execute the method steps provided in the first aspect by calling a program or an instruction stored in the memory 102, specifically, a program or an instruction stored in the application 1022.
The method disclosed in the above embodiment of the present application may be applied to the processor 101 or implemented by the processor 101. The processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 101 or instructions in the form of software. The processor 101 described above may be a general purpose processor, a digital signal processor, an application specific integrated circuit, an off-the-shelf programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software elements in a decoding processor. The software elements may be located in a random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 102, and the processor 101 reads information in the memory 102, and in combination with its hardware, performs the steps of the method described above.
In addition, in combination with the image processing-based assembled intelligent building site safety warning system in the above embodiment, the embodiment of the present application may provide a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements any one of the image processing-based assembled intelligent building site safety warning systems in the above method embodiments.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. The use of the terms first, second, third, etc. are for convenience of description only and do not denote any order. These terms may be understood as part of the component name.
Furthermore, it should be noted that in the description of the present specification, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with the embodiment or example being included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art upon learning the basic inventive concepts. Therefore, the appended claims should be construed to include preferred embodiments and all such variations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, the present application should also include such modifications and variations provided that they come within the scope of the following claims and their equivalents.
Claims (10)
1. The intelligent building site safety early warning system based on image processing is characterized by comprising an intelligent building site inspection robot, a building site track subsystem and an information processing and early warning device, wherein the intelligent building site inspection robot is arranged on the building site track subsystem and is in communication connection with the information processing and early warning device;
the intelligent inspection robot is used for periodically acquiring video data and image data of a construction site through image acquisition equipment and sending the acquired data to the information processing and early warning subsystem;
the construction site track subsystem is used for providing a driving route for the intelligent construction site inspection robot to collect video data and image data of a construction site;
the information processing and early warning subsystem is used for carrying out three-dimensional modeling based on the received video data and image data, and monitoring deformation of a detected area in the construction site based on a three-dimensional modeling result; and when the deformation rate is higher than a preset rate threshold value, generating alarm prompt information.
2. The image processing-based fabricated intelligent worksite safety precaution system of claim 1, wherein the worksite intelligent inspection robot comprises: the device comprises an image acquisition unit, a supporting transmission device and a data transmission unit; the image acquisition unit is arranged on the supporting transmission device, and the image acquisition unit is in communication connection with the data transmission unit.
3. The image processing-based assembled intelligent building site safety pre-warning system according to claim 2, wherein the image acquisition unit comprises a high-definition camera and an IMU (inertial measurement unit) holder, the IMU holder is used for generating spatial position information of the intelligent building site inspection robot during operation and spatial posture information of the high-definition camera, and the high-definition camera is used for acquiring video data of the tested area.
4. The image processing-based assembled intelligent worksite safety precaution system of claim 1, wherein the information processing and precaution device comprises an information processing server and an audible and visual alarm.
5. An image processing-based assembled intelligent construction site safety pre-warning method, which is characterized by being applied to the information processing and pre-warning subsystem according to any one of claims 1 to 4, and comprising the following steps:
s1, acquiring video data and image data of a construction site which are periodically acquired by an intelligent inspection robot of the construction site;
s2, carrying out three-dimensional modeling on the construction site based on the video data and the image data to obtain a three-dimensional model of the construction site;
s3, monitoring deformation of a measured area in the construction site based on the three-dimensional model of the construction site, and generating deformation rate;
and S4, when the deformation rate is higher than a preset rate threshold value, generating alarm prompt information of the detected area.
6. The image processing-based assembled intelligent building site safety precaution method according to claim 5, wherein the video data and the image data comprise spatial position information and spatial posture information of an image acquisition device.
7. The image processing-based assembly-type intelligent construction site safety precaution method according to claim 6, wherein step S2 comprises:
aligning the image data by adopting an aerial triangulation method to obtain an image control point;
based on the image control points, the spatial position information and the spatial posture information, performing error correction on the image data by adopting a beam adjustment method;
and carrying out close-range photogrammetry and modeling on the construction site by adopting an SfM analysis algorithm to obtain a three-dimensional model of the construction site.
8. The image processing-based assembly-type intelligent construction site safety pre-warning method according to claim 1, wherein step S3 comprises:
performing point cloud addition and subtraction operation according to the three-dimensional models of construction sites in different time periods to obtain a difference point cloud,
based on the difference point cloud, calculating the deformation of the measured area in the construction site;
and calculating the real-time deformation rate of the detected area based on the deformation of the detected area.
9. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the image processing based assembled intelligent worksite safety precaution method of any one of the preceding claims 5 to 8.
10. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed by the processor, implements the steps of the image processing based assembled intelligent worksite safety precaution method of any of the above claims 5 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310230894.2A CN116597604A (en) | 2023-03-11 | 2023-03-11 | Assembly type intelligent construction site safety early warning system, method, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310230894.2A CN116597604A (en) | 2023-03-11 | 2023-03-11 | Assembly type intelligent construction site safety early warning system, method, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116597604A true CN116597604A (en) | 2023-08-15 |
Family
ID=87610521
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310230894.2A Pending CN116597604A (en) | 2023-03-11 | 2023-03-11 | Assembly type intelligent construction site safety early warning system, method, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116597604A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116824312A (en) * | 2023-08-31 | 2023-09-29 | 北京华邑建设集团有限公司 | Construction data processing method and system based on big data |
| CN117549330A (en) * | 2024-01-11 | 2024-02-13 | 四川省铁路建设有限公司 | Construction safety monitoring robot system and control method |
-
2023
- 2023-03-11 CN CN202310230894.2A patent/CN116597604A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116824312A (en) * | 2023-08-31 | 2023-09-29 | 北京华邑建设集团有限公司 | Construction data processing method and system based on big data |
| CN116824312B (en) * | 2023-08-31 | 2023-11-03 | 北京华邑建设集团有限公司 | Construction data processing method and system based on big data |
| CN117549330A (en) * | 2024-01-11 | 2024-02-13 | 四川省铁路建设有限公司 | Construction safety monitoring robot system and control method |
| CN117549330B (en) * | 2024-01-11 | 2024-03-22 | 四川省铁路建设有限公司 | Construction safety monitoring robot system and control method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116597604A (en) | Assembly type intelligent construction site safety early warning system, method, equipment and medium | |
| Mandirola et al. | Use of UAS for damage inspection and assessment of bridge infrastructures | |
| CN110858334A (en) | Road safety assessment method and device and road safety early warning system | |
| CN206987892U (en) | A kind of prior-warning device for being used to monitor Propagation in Tunnel Disaster | |
| CN103669366A (en) | Remote monitoring early warning system for deep foundation pit support structure deformation | |
| WO2019235415A1 (en) | Disaster state determination system and disaster determination flight system | |
| Graettinger et al. | Tornado damage assessment in the aftermath of the May 20th 2013 Moore Oklahoma tornado | |
| CN113700053A (en) | BIM-based construction process foundation pit deformation monitoring and early warning method and system | |
| CN114232698A (en) | Foundation pit monitoring method and system based on BIM | |
| Fan et al. | Safety management system prototype/framework of deep foundation pit based on BIM and IoT | |
| CN116910881A (en) | Method for automatically acquiring arrangement point positions of fire hydrant along walking path | |
| Xie et al. | Real-time health monitoring system for power tunnel | |
| CN115983649A (en) | Water conservancy wisdom building site system | |
| CN112541455B (en) | Machine vision-based prediction method for reverse breaking accidents of distribution network concrete electric pole | |
| Su | Construction crew productivity monitoring supported by location awareness technologies | |
| CN116045903A (en) | Coal mining area ground deformation identification and evaluation method | |
| CN112502162B (en) | System and method for early warning timeliness of steel support erection of deep foundation pit of subway station | |
| CN115631588A (en) | Method, system, platform, equipment and medium for managing and monitoring homeland resources | |
| Lim et al. | Differential settlement monitoring system using inverse perspective mapping | |
| CN210864808U (en) | BIM-based sewage treatment engineering management system | |
| CN113931079A (en) | Information modular construction method for cast-in-place concrete bridge support | |
| Yu et al. | Unmanned aircraft path planning for construction safety inspections | |
| CN112525269A (en) | Beidou positioning system-based monitoring system and monitoring method for deep foundation pit | |
| CN113326549A (en) | Building construction management system and method based on BIM | |
| CN117828384B (en) | Geological disaster risk point monitoring and emergency response system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |