CN111650863B - Engineering safety monitoring instrument and monitoring method - Google Patents
Engineering safety monitoring instrument and monitoring method Download PDFInfo
- Publication number
- CN111650863B CN111650863B CN202010526198.2A CN202010526198A CN111650863B CN 111650863 B CN111650863 B CN 111650863B CN 202010526198 A CN202010526198 A CN 202010526198A CN 111650863 B CN111650863 B CN 111650863B
- Authority
- CN
- China
- Prior art keywords
- engineering
- image
- model
- module
- information
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Emergency Alarm Devices (AREA)
- Alarm Systems (AREA)
Abstract
The invention belongs to the technical field of engineering monitoring and discloses an engineering safety monitoring instrument and a monitoring method; comparing the denoised image with the previous denoised image every 30min by an engineering model constructing and analyzing module, an engineering model evaluating module, an engineering construction image obtaining module, an engineering image processing module and an engineering image characteristic comparison module to determine the change condition, such as cracks, in the engineering structure; monitoring the positions of personnel, materials and machines through a BIM (building information modeling) model by a human-machine material danger source monitoring module, and alarming when unsafe behaviors occur or unsafe states of surrounding environments occur; the invention has simple result, relates to the change monitoring of engineering structure and the monitoring of the relative positions of personnel, materials and machines, has large monitoring range and real-time performance, reduces the labor intensity and can be popularized and used.
Description
Technical Field
The invention belongs to the technical field of engineering monitoring, and particularly relates to an engineering safety monitoring instrument and a monitoring method.
Background
At present, the building industry is used as one of important material production departments and pillar industries of national economy in China, frequent safety accidents of the building industry not only greatly harm the life and property safety of people and the country, but also are not beneficial to the sustainable development of the building industry and the national economy, the building industry is used as the pillar industry of the national economy, the safety accidents are still arranged in the front of various industries, the technical level is higher and higher along with the continuous expansion of the building scale, and higher requirements are also provided for safety prevention and control;
the existing inspection system is difficult to realize effective monitoring on engineering safety due to uncertainty of engineering safety accidents, has poor real-time performance, increases labor intensity, and cannot effectively monitor personnel, materials, equipment and the like in real time and all-around.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) due to uncertainty of engineering safety accidents, the existing inspection system is difficult to realize effective monitoring on engineering safety and has poor real-time performance;
(2) the labor intensity is increased, and simultaneously, the real-time and all-around monitoring of personnel, materials, equipment and the like cannot be effectively realized.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an engineering safety monitoring instrument and a monitoring method.
The invention is realized in this way, a kind of engineering safety monitor and monitoring method, the stated engineering safety monitor includes specifically:
the engineering model construction and analysis module is connected with the central control module, comprises FLAC3D software, ANSYS software and a three-dimensional rapid Lagrange analysis platform, realizes construction of an engineering model through the ANSYS software, endows corresponding materials to the engineering model through the ANSYS, FLAC3D and the three-dimensional rapid Lagrange analysis platform, performs mechanical analysis on the engineering model through the ANSYS, FLAC3D and the three-dimensional rapid Lagrange analysis platform, and records corresponding mechanical values and related stress concentration points;
the engineering model evaluation module is connected with the central control module, performs deformation calculation and stress analysis on the existing inter-zone structure by establishing a three-dimensional stratum structure model, and outputs a corresponding evaluation conclusion;
the engineering construction image acquisition module is connected with the central control module and comprises a high-definition camera and a wireless signal transceiver, the 360-degree camera is additionally arranged at the stress concentration point and the position related to the evaluation conclusion output by the engineering model construction and analysis module and the engineering model evaluation module, the image acquisition is carried out on the related position, and the acquired image is transmitted to the memory through the wireless signal transceiver;
the engineering image processing module is connected with the central control module and is used for denoising the engineering component image acquired by the high-definition camera through a filtering image;
the engineering image characteristic comparison module is connected with the central control module and is used for comparing the image subjected to denoising processing every 30min with the previous image subjected to denoising processing;
the man-machine material danger source monitoring module is connected with the central control module and realizes the safety monitoring of the informationized visualization of the construction site by adopting RFID and BIM technologies;
the RFID is an automatic identification technology, is used for information acquisition, can store various kinds of information, has the capacity of more than 10M, and is used for marking heavy equipment and worker safety equipment, and immediately notifying workers and related managers when the workers and the equipment enter a dangerous working area to trigger warning;
the BIM4D model is used for carrying out safety analysis such as structural collision and collision, management and early warning can be carried out on safety problems in the construction process, a time-structure safety analysis model is constructed based on safety analysis of a BIM4D technology and a time-varying structure analysis theory aiming at engineering safety monitoring management, and the problem of continuous and dynamic overall process analysis of a time-varying structure can be solved, so that the analysis result is three-dimensionally visualized;
the engineering construction site monitoring object is attached with a corresponding RFID label, label information is continuously scanned by a reader and transmitted to the BIM through a network, and the safety state of the object is visually and dynamically presented in the BIM3D/4D model in real time;
the display module is connected with the central control module, comprises a display screen and is used for displaying the image contrast characteristics of the engineering image and the BIM visual model;
and the central control module is connected with each module and comprises a programmable processor for controlling the normal operation of each module.
Further, the engineering safety monitor also comprises:
the alarm module is connected with the central control module, comprises an audible and visual alarm and is used for performing audible and visual alarm on the image characteristic inconsistency and the BIM model alarm information through the audible and visual alarm;
and the wireless signal transmitting module is connected with the central control module, comprises a wireless signal transceiver and is used for transmitting the alarm information to a mobile terminal of a manager through the wireless signal transceiver.
Further, the engineering model building and analyzing module comprises:
the engineering parameter input unit is used for recording and storing engineering design parameters approved by project establishment;
the model proportion setting unit is used for converting the input engineering parameters into proportion parameters of the three-dimensional model;
the model construction unit is used for inputting model proportion parameters into three-dimensional model construction software to realize construction of an engineering model, and endowing the engineering model with corresponding materials through ANSYS, FLAC3D and a three-dimensional rapid Lagrange analysis platform;
and the model analysis unit is used for performing mechanical analysis on the engineering model through ANSYS, FLAC3D and a three-dimensional rapid Lagrangian analysis platform, and recording corresponding mechanical values and related stress concentration points.
Further, the engineering model evaluation module comprises:
the three-dimensional stratum structure model building unit is used for building a three-dimensional stratum structure model according to preset unit types, real constants and parameter values of elastic modulus;
the model dividing unit is used for dividing the three-dimensional stratum structure model into a plurality of small units for calculation and analysis;
and the structure deformation and stress analysis unit is used for carrying out deformation calculation and stress analysis on the settlement deformation of the existing interval structure and the differential settlement deformation at the structural deformation joint under the existing interval line, and outputting a corresponding evaluation conclusion.
Further, man-machine material danger source monitoring module includes:
the information acquisition unit acquires information of the RFID label on the construction site through the RFID reader-writer and tracks the information in real time;
the information uploading unit is used for automatically transmitting the information scanned by the RFID tag to a BIM3D/4D model through the Internet to dynamically present the safety states of the position, the surrounding environment, the detection parameters and the like of the object in space and time;
if the alarming unit generates unsafe behaviors or unsafe states of the surrounding environment, alarms are graded on the BIM.
Another object of the present invention is to provide a method for monitoring engineering safety, which specifically comprises:
s1, constructing an engineering model through three-dimensional model construction software according to engineering design parameters approved by project establishment, performing mechanical analysis on the engineering model, and recording corresponding mechanical values and relevant stress concentration points;
s2, establishing a three-dimensional stratum structure model to perform deformation calculation and stress analysis on the existing interval structure, and additionally installing camera equipment to perform image acquisition by combining stress concentration points and positions related to evaluation conclusions;
s3, carrying out drying removal processing on the collected engineering component image through a filtering image denoising processing method, and carrying out feature comparison on the image subjected to denoising processing and the previous image subjected to denoising processing;
s4, implementing the safety monitoring of the informationized visualization of the construction site by adopting RFID and BIM technologies through a man-machine material danger source monitoring module, and displaying the contrast characteristics of the engineering image and the BIM visualization model through a display module;
and S5, performing audible and visual alarm on the image characteristic inconsistency and the BIM model alarm information through an audible and visual alarm, and sending the alarm information to a mobile terminal of a manager through a wireless signal transceiver.
Further, a method for denoising the acquired engineering component image through a filtering image specifically comprises the following steps:
step one, an input image is set as f, and the pixel size of the input image is W x H;
setting the number of particles as m, the spatial dimension as D, the position of the ith particle as a D-dimensional vector Xi (Xi1, XiD), and the flying speed of the ith particle as a D-dimensional vector Vi (Vi1, ViD); the initial position and the initial velocity of the particle are random numbers between (0, 1); obtaining the size of the unit structural element SE according to the initial position to obtain an initial value of n;
step three, carrying out the balanced corrosion operation on the input image by using the unit structural element SE with the initial value to obtain a balanced corrosion image with the size of (W-n +1) × (H-n + 1);
step four, carrying out the balanced expansion operation on the balanced corrosion image by using the unit structural element SE with the initial value to obtain a balanced expansion image with the size of W x H, and calculating the peak signal-to-noise ratio (PSNR) of the balanced expansion image;
step five, updating the particle velocity V and the particle position X by using the particle swarm optimization technology by taking the peak signal-to-noise ratio PSNR as a cost function to obtain a globally optimal particle position; obtaining the size of the unit structure element SE according to the globally optimal particle position, namely obtaining the optimal value of n;
and sixthly, carrying out the balanced corrosion and balanced expansion operation on the input image in sequence by using the unit structural element SE with the optimal value to obtain an output image.
Further, a method for comparing the features of the image subjected to the denoising process with the previous image subjected to the denoising process specifically includes:
a first step of extracting every 30mim images captured of the same measured engineered structure, the images comprising a first image captured at a first time and a second image captured at a second time;
secondly, detecting the characteristic points of the first image to obtain a first characteristic point group, and detecting the characteristic points of the second image to obtain a second characteristic point group;
thirdly, aligning the images according to the first characteristic point combination and the second characteristic point combination of the first image to generate overlapped image information;
fourthly, capturing window areas corresponding to the first comparison image and the second comparison image in the overlapped image information one by utilizing a sliding window mask, and calculating the ratio of the number of matched points to the number of unmatched points in the window areas corresponding to the first comparison image and the second comparison image;
and fifthly, displaying the window areas with inconsistent matching points and giving an early warning.
Further, in the second step, the set of feature points includes: crack, deformation size, position structure.
Further, in the second step, the first feature point group and the second feature point group are obtained by a transparent scale invariant feature transformation algorithm and an acceleration robust feature algorithm.
Further, a monitoring method of the man-machine material danger source monitoring module specifically comprises the following steps:
(1) the information acquisition unit acquires information of the RFID label on the construction site through the RFID reader-writer and tracks the information in real time;
(2) the information after the RFID label scanning is automatically transmitted to a BIM3D/4D model through the Internet to dynamically present the safety states of the position, the surrounding environment, the detection parameters and the like of the object in the space and time;
(3) if unsafe behavior or unsafe state of the surrounding environment occurs, alarms are graded on the BIM model.
Further, in (1), the collecting operation of the information collecting unit is as follows:
1) the method comprises the following steps that a site manager obtains a potential safety hazard list through safety analysis, and different types of RFID tags are defined according to the actual situation of a site;
2) storing basic information such as ID, object attribute and the like in the tag and adding the basic information to the BIM;
3) the position of the operator is identified through the information of the RFID label, and the position of the object can be dynamically seen through scanning the label information on the material and the machine.
By combining all the technical schemes, the invention has the advantages and positive effects that:
the invention has simple result, relates to the change monitoring of the engineering structure and the monitoring of the relative positions of personnel, materials and machines, has large monitoring range and real-time performance, reduces the labor intensity and can be popularized and used. The wireless signal sending module adopted by the invention can realize the remote monitoring of the engineering safety by the manager; the image denoising method adopted by the invention is simple, can realize the optimization of the image and improve the definition of the image; the image comparison method provided by the invention reduces the problems of time consumption, labor consumption and misjudgment caused by finding out the difference of the engineering component images at different times by monitoring personnel in a manual mode;
drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a block diagram of an engineering safety monitor provided in an embodiment of the present invention;
in the figure: 1. an engineering model construction and analysis module; 2. an engineering model evaluation module; 3. an engineering construction image acquisition module; 4. an engineering image processing module; 5. an engineering image feature comparison module; 6. a man-machine material danger source monitoring module; 7. a display module; 8. a central control module; 9. an alarm module; 10. and a wireless signal transmitting module.
Fig. 2 is a flowchart of an engineering safety monitoring method according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for denoising a collected engineering component image through a filtering image according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for comparing features of a denoised image with features of a previous denoised image according to an embodiment of the present invention.
Fig. 5 is a flowchart of a monitoring method of the human-machine material hazard source monitoring module according to an embodiment of the present invention.
Fig. 6 is a flowchart of a method for collecting work of an information collecting unit according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides an engineering safety monitoring instrument and a monitoring method, and the following describes the present invention in detail with reference to the accompanying drawings.
As shown in fig. 1, the invention relates to an engineering safety monitor, which specifically comprises:
the engineering model constructing and analyzing module 1 is connected with the central control module 8 and comprises FLAC3D software, ANSYS software and a three-dimensional rapid Lagrangian analyzing platform, the engineering model is constructed through the ANSYS software, corresponding materials are endowed to the engineering model through the ANSYS, FLAC3D and the three-dimensional rapid Lagrangian analyzing platform, the engineering model is subjected to mechanical analysis through the ANSYS, FLAC3D and the three-dimensional rapid Lagrangian analyzing platform, and corresponding mechanical values and relevant stress concentration points are recorded;
the engineering model evaluation module 2 is connected with the central control module 8, carries out deformation calculation and stress analysis on the existing inter-zone structure by establishing a three-dimensional stratum structure model, and outputs a corresponding evaluation conclusion;
the engineering construction image acquisition module 3 is connected with the central control module 8 and comprises a high-definition camera and a wireless signal transceiver, a 360-degree camera is additionally arranged at the stress concentration point and the position related to the evaluation conclusion output by the engineering model construction and analysis module and the engineering model evaluation module, image acquisition is carried out on the related position, and the acquired image is transmitted to a memory through the wireless signal transceiver;
the engineering image processing module 4 is connected with the central control module 8 and is used for denoising the engineering component image acquired by the high-definition camera through a filtering image;
the engineering image characteristic comparison module 5 is connected with the central control module 8 and is used for comparing the image subjected to denoising processing every 30min with the previous image subjected to denoising processing;
the man-machine material danger source monitoring module 6 is connected with the central control module 8, and realizes the safety monitoring of the informationized visualization of the construction site by adopting RFID and BIM technologies;
the RFID is an automatic identification technology, is used for information acquisition, can store various kinds of information, has the capacity of more than 10M, and is used for marking heavy equipment and worker safety equipment, and immediately notifying workers and related managers when the workers and the equipment enter a dangerous working area to trigger warning;
the BIM4D model is used for carrying out safety analysis such as structural collision and collision, management and early warning can be carried out on safety problems in the construction process, a time-structure safety analysis model is constructed based on safety analysis of a BIM4D technology and a time-varying structure analysis theory aiming at engineering safety monitoring management, and the problem of continuous and dynamic overall process analysis of a time-varying structure can be solved, so that the analysis result is three-dimensionally visualized;
the engineering construction site monitoring object is attached with a corresponding RFID label, label information is continuously scanned by a reader and transmitted to the BIM through a network, and the safety state of the object is visually and dynamically presented in the BIM3D/4D model in real time;
the display module 7 is connected with the central control module 8, comprises a display screen and is used for displaying the contrast characteristics of the engineering image and the BIM visual model;
and the central control module 8 is connected with each module and comprises a programmable processor for controlling the normal operation of each module.
As shown in fig. 1, the engineering safety monitor of the present invention further includes:
the alarm module 9 is connected with the central control module 8, comprises an audible and visual alarm and is used for performing audible and visual alarm on the image characteristic inconsistency and the BIM model alarm information through the audible and visual alarm;
and the wireless signal transmitting module 10 is connected with the central control module 8, comprises a wireless signal transceiver and is used for transmitting the alarm information to a mobile terminal of a manager through the wireless signal transceiver.
The engineering model constructing and analyzing module in the embodiment of the invention comprises:
the engineering parameter input unit is used for recording and storing engineering design parameters approved by project establishment;
the model proportion setting unit is used for converting the input engineering parameters into proportion parameters of the three-dimensional model;
the model construction unit is used for inputting model proportion parameters into three-dimensional model construction software to realize construction of an engineering model, and endowing the engineering model with corresponding materials through ANSYS, FLAC3D and a three-dimensional rapid Lagrange analysis platform;
and the model analysis unit is used for performing mechanical analysis on the engineering model through ANSYS, FLAC3D and a three-dimensional rapid Lagrangian analysis platform, and recording corresponding mechanical values and related stress concentration points.
The engineering model evaluation module in the embodiment of the invention comprises:
the three-dimensional stratum structure model building unit is used for building a three-dimensional stratum structure model according to preset unit types, real constants and parameter values of elastic modulus;
the model dividing unit is used for dividing the three-dimensional stratum structure model into a plurality of small units for calculation and analysis;
and the structure deformation and stress analysis unit is used for carrying out deformation calculation and stress analysis on the settlement deformation of the existing interval structure and the difference settlement deformation of the structure deformation joint under the existing interval line, and outputting a corresponding evaluation conclusion.
The man-machine material danger source monitoring module in the embodiment of the invention comprises:
the information acquisition unit acquires information of the RFID label on the construction site through the RFID reader-writer and tracks the information in real time;
the information uploading unit is used for automatically transmitting the information scanned by the RFID tag to a BIM3D/4D model through the Internet to dynamically present the safety states of the position, the surrounding environment, the detection parameters and the like of the object in the space and time;
if the alarming unit generates unsafe behaviors or unsafe states of the surrounding environment, alarms are graded on the BIM.
As shown in fig. 2, the engineering safety monitoring method provided in the embodiment of the present invention specifically includes:
and S1, constructing the engineering model through three-dimensional model construction software according to engineering design parameters approved by project establishment, performing mechanical analysis on the engineering model, and recording corresponding mechanical values and related stress concentration points.
And S2, establishing a three-dimensional stratum structure model to perform deformation calculation and stress analysis on the existing interval structure, and additionally installing camera equipment to perform image acquisition by combining stress concentration points and positions related to the evaluation conclusion.
And S3, performing drying removal processing on the acquired engineering component image by a filtering image denoising processing method, and performing characteristic comparison on the denoised image and the image subjected to the denoising processing.
S4, the RFID and BIM technologies are adopted to realize the safety monitoring of the informationization visualization of the construction site through the man-machine material danger source monitoring module, and the contrast characteristics of the engineering image and the BIM visualization model are displayed through the display module.
And S5, performing audible and visual alarm on the image characteristic inconsistency and the BIM model alarm information through an audible and visual alarm, and sending the alarm information to a mobile terminal of a manager through a wireless signal transceiver.
As shown in fig. 3, the method for denoising the acquired engineering component image through the filtering image in the embodiment of the present invention specifically includes the following steps:
s101: setting an input image as f, wherein the pixel size of the input image is W x H;
s102: setting the number of particles as m, the spatial dimension as D, the position of the ith particle as a D-dimensional vector Xi ═ (Xi1, XiD), and the flight speed of the ith particle as a D-dimensional vector Vi ═ (Vi1, ViD); the initial position and the initial velocity of the particle are random numbers between (0, 1); obtaining the size of the unit structural element SE according to the initial position to obtain an initial value of n;
s103: carrying out the balanced corrosion operation on the input image by using a unit structure element SE with the initial value to obtain a balanced corrosion image with the size of (W-n +1) × (H-n + 1);
s104: carrying out the balanced expansion operation on the balanced corrosion image by using a unit structure element SE with the initial value to obtain a balanced expansion image with the size of W x H, and calculating the peak signal-to-noise ratio (PSNR) of the balanced expansion image;
s105: updating the particle velocity V and the particle position X by using the peak signal-to-noise ratio PSNR as a cost function and using a particle swarm optimization technology to obtain a globally optimal particle position; obtaining the size of the unit structure element SE according to the globally optimal particle position, namely obtaining the optimal value of n;
s106: and sequentially carrying out the balanced corrosion and balanced expansion operation on the input image by using the unit structural element SE with the optimal value to obtain an output image.
As shown in fig. 4, the method for comparing the features of the denoised image and the previous denoised image in the embodiment of the present invention specifically includes the following steps:
s201: extracting every 30mim images captured of the same engineered structure under test, the images including a first image captured at a first time and a second image captured at a second time;
s202: detecting the characteristic points of the first image to obtain a first characteristic point group, and detecting the characteristic points of the second image to obtain a second characteristic point group;
s203: performing image alignment according to the first characteristic point combination and the second characteristic point combination of the first image to generate overlapped image information;
s204: capturing window areas corresponding to a first comparison image and a second comparison image in the overlapped image information one by utilizing a sliding window mask, and calculating the ratio of the number of matched points to the number of unmatched points in the window areas corresponding to the first comparison image and the second comparison image;
s205: and displaying the window areas with inconsistent matching point numbers and giving an early warning.
The set of feature points includes: crack, deformation size, position structure.
The engineering image feature comparison module 5 obtains the first feature point group and the second feature point group through a transparent scale invariant feature conversion algorithm and an acceleration robust feature algorithm.
As shown in fig. 5, the monitoring method of the human-machine material hazard source monitoring module 6 in the embodiment of the present invention specifically includes the following steps:
s301: the information acquisition unit acquires information of the RFID label on the construction site through the RFID reader-writer and tracks the information in real time;
s302: the information after the RFID label scanning is automatically transmitted to a BIM3D/4D model through the Internet to dynamically present the safety states of the position, the surrounding environment, the detection parameters and the like of the object in the space and time;
s303: if unsafe behavior or unsafe state of the surrounding environment occurs, alarms are graded on the BIM model.
As shown in fig. 6, the collecting operation of the information collecting unit in the embodiment of the present invention is specifically as follows:
s401: the method comprises the following steps that a site manager obtains a potential safety hazard list through safety analysis, and different types of RFID tags are defined according to the actual situation of a site;
s402: storing basic information such as ID, object attribute and the like in the tag and adding the basic information to the BIM;
s403: the position of the operator is identified through the information of the RFID label, and the position of the object can be dynamically seen through scanning the label information on the material and the machine.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. The utility model provides an engineering safety monitoring appearance which characterized in that, engineering safety monitoring appearance specifically includes:
the engineering model construction and analysis module is connected with the central control module, comprises FLAC3D software, ANSYS software and a three-dimensional rapid Lagrange analysis platform, realizes construction of an engineering model through the ANSYS software, endows corresponding materials to the engineering model through the ANSYS, FLAC3D and the three-dimensional rapid Lagrange analysis platform, performs mechanical analysis on the engineering model through the ANSYS, FLAC3D and the three-dimensional rapid Lagrange analysis platform, and records corresponding mechanical values and related stress concentration points;
the engineering model evaluation module is connected with the central control module, performs deformation calculation and stress analysis on the existing inter-zone structure by establishing a three-dimensional stratum structure model, and outputs a corresponding evaluation conclusion;
the engineering construction image acquisition module is connected with the central control module and comprises a high-definition camera and a wireless signal transceiver, the 360-degree camera is additionally arranged at the stress concentration point and the position related to the evaluation conclusion output by the engineering model construction and analysis module and the engineering model evaluation module, the image acquisition is carried out on the related position, and the acquired image is transmitted to the memory through the wireless signal transceiver;
the engineering image processing module is connected with the central control module and is used for denoising the engineering component image acquired by the high-definition camera through a filtering image;
the engineering image characteristic comparison module is connected with the central control module and is used for comparing the image subjected to denoising processing every 30min with the previous image subjected to denoising processing;
the man-machine material danger source monitoring module is connected with the central control module and realizes the safety monitoring of the informationized visualization of the construction site by adopting RFID and BIM technologies;
the display module is connected with the central control module, comprises a display screen and is used for displaying the image contrast characteristics of the engineering image and the BIM visual model;
the central control module is connected with the engineering model construction and analysis module, the engineering model evaluation module, the engineering construction image acquisition module, the engineering image characteristic comparison module, the man-machine material danger source monitoring module, the display module, the alarm module and the wireless signal transmitting module, and comprises a programmable processor which is used for processing the acquired information and controlling the normal operation of each module through the processing result and the preset parameters;
the alarm module is connected with the central control module, comprises an audible and visual alarm and is used for performing audible and visual alarm on the image characteristic inconsistency and the BIM model alarm information through the audible and visual alarm;
and the wireless signal transmitting module is connected with the central control module, comprises a wireless signal transceiver and is used for transmitting the alarm information to a mobile terminal of a manager through the wireless signal transceiver.
2. The engineering safety monitor of claim 1, wherein the engineering model building and analyzing module comprises:
the engineering parameter input unit is used for recording and storing engineering design parameters approved by project establishment;
the model proportion setting unit is used for converting the input engineering parameters into proportion parameters of the three-dimensional model;
the model construction unit is used for inputting model proportion parameters into three-dimensional model construction software to realize construction of an engineering model, and endowing the engineering model with corresponding materials through ANSYS, FLAC3D and a three-dimensional rapid Lagrange analysis platform;
and the model analysis unit is used for performing mechanical analysis on the engineering model through ANSYS, FLAC3D and a three-dimensional rapid Lagrangian analysis platform, and recording corresponding mechanical values and related stress concentration points.
3. The engineering safety monitor of claim 1, wherein the engineering model evaluation module comprises:
the three-dimensional stratum structure model building unit is used for building a three-dimensional stratum structure model according to preset unit types, real constants and parameter values of elastic modulus;
the model dividing unit is used for dividing the three-dimensional stratum structure model into a plurality of small units for calculation and analysis;
and the structure deformation and stress analysis unit is used for carrying out deformation calculation and stress analysis on the settlement deformation of the existing interval structure and the differential settlement deformation at the structural deformation joint under the existing interval line, and outputting a corresponding evaluation conclusion.
4. The engineering safety monitor of claim 1, wherein the human-machine material hazard source monitoring module comprises:
the information acquisition unit acquires information of the RFID label on the construction site through the RFID reader-writer and tracks the information in real time;
the information uploading unit is used for automatically transmitting the information scanned by the RFID tag to a BIM3D/4D model through the Internet to dynamically present the safety states of the position, the surrounding environment, the detection parameters and the like of the object in the space and time;
if the alarming unit generates unsafe behaviors or unsafe states of the surrounding environment, alarms are graded on the BIM.
5. An engineering safety monitoring method based on the engineering safety monitoring instrument of any one of claims 1 to 4, characterized in that the engineering safety monitoring method specifically comprises:
s1, constructing an engineering model through three-dimensional model construction software according to engineering design parameters approved by project establishment, carrying out mechanical analysis on the engineering model, and recording corresponding mechanical values and relevant stress concentration points;
s2, establishing a three-dimensional stratum structure model to perform deformation calculation and stress analysis on the existing interval structure, and additionally installing camera equipment to perform image acquisition by combining stress concentration points and positions related to evaluation conclusions;
s3, carrying out drying removal processing on the collected engineering component image through a filtering image denoising processing method, and carrying out feature comparison on the image subjected to denoising processing and the previous image subjected to denoising processing;
s4, implementing the safety monitoring of the informationized visualization of the construction site by adopting RFID and BIM technologies through a man-machine material danger source monitoring module, and displaying the contrast characteristics of the engineering image and the BIM visualization model through a display module;
and S5, performing audible and visual alarm on the image characteristic inconsistency and the BIM model alarm information through an audible and visual alarm, and sending the alarm information to a mobile terminal of a manager through a wireless signal transceiver.
6. The engineering safety monitoring method according to claim 5, wherein the method for denoising the acquired engineering component image through the filtering image specifically comprises the following steps:
step one, an input image is set as f, and the pixel size of the input image is W x H;
setting the number of particles as m, the spatial dimension as D, the position of the ith particle as a D-dimensional vector Xi (Xi1, XiD), and the flying speed of the ith particle as a D-dimensional vector Vi (Vi1, ViD); the initial position and the initial velocity of the particle are random numbers between (0, 1); obtaining the size of a unit structural element SE according to the initial position to obtain an initial value of n;
step three, carrying out balanced corrosion operation on the input image by using the unit structural element SE with the initial value to obtain a balanced corrosion image with the size of (W-n +1) × (H-n + 1);
step four, carrying out the balanced expansion operation on the balanced corrosion image by using the unit structural element SE with the initial value to obtain a balanced expansion image with the size of W x H, and calculating the peak signal-to-noise ratio (PSNR) of the balanced expansion image;
step five, updating the particle velocity V and the particle position X by using the particle swarm optimization technology by taking the peak signal-to-noise ratio PSNR as a cost function to obtain a globally optimal particle position; obtaining the size of the unit structure element SE according to the globally optimal particle position, namely obtaining the optimal value of n;
and sixthly, carrying out the balanced corrosion and balanced expansion operation on the input image in sequence by using the unit structural element SE with the optimal value to obtain an output image.
7. The engineering safety monitoring method according to claim 5, wherein the method for comparing the features of the de-noised image with the features of the previous de-noised image comprises the following steps:
a first step of extracting every 30mim images captured of the same measured engineered structure, the images comprising a first image captured at a first time and a second image captured at a second time;
secondly, detecting the characteristic points of the first image to obtain a first characteristic point group, and detecting the characteristic points of the second image to obtain a second characteristic point group;
thirdly, aligning the images according to the first characteristic point combination and the second characteristic point combination of the first image to generate overlapped image information;
fourthly, capturing window areas corresponding to the first comparison image and the second comparison image in the overlapped image information one by utilizing a sliding window mask, and calculating the ratio of the number of matched points to the number of unmatched points in the window areas corresponding to the first comparison image and the second comparison image;
and fifthly, displaying the window areas with inconsistent matching points and giving an early warning.
8. The engineering safety monitoring method according to claim 7, wherein in the second step, the first feature point group and the second feature point group are obtained by a transparent scale invariant feature transformation algorithm and an accelerated robust feature algorithm; the set of feature points includes: crack, deformation size, position structure.
9. The engineering safety monitoring method according to claim 5, wherein the monitoring method of the human-machine material danger source monitoring module specifically comprises the following steps:
(1) the information acquisition unit acquires information of the RFID label on the construction site through the RFID reader-writer and tracks the information in real time;
(2) the information after the RFID label scanning is automatically transmitted to a BIM3D/4D model through the Internet to dynamically present the safety states of the position, the surrounding environment, the detection parameters and the like of the object in the space and time;
(3) if unsafe behavior or unsafe state of the surrounding environment occurs, alarms are graded on the BIM model.
10. The engineering safety monitoring method according to claim 9, wherein in (1), the collecting operation of the information collecting unit is as follows:
1) the method comprises the following steps that a site manager obtains a potential safety hazard list through safety analysis, and different types of RFID tags are defined according to the actual situation of a site;
2) storing basic information such as ID (identity), object attributes and the like in the tag and adding the basic information to the BIM;
3) the position of the operator is identified through the information of the RFID label, and the position of the object can be dynamically seen through scanning the label information on the material and the machine.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010526198.2A CN111650863B (en) | 2020-06-09 | 2020-06-09 | Engineering safety monitoring instrument and monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010526198.2A CN111650863B (en) | 2020-06-09 | 2020-06-09 | Engineering safety monitoring instrument and monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111650863A CN111650863A (en) | 2020-09-11 |
| CN111650863B true CN111650863B (en) | 2022-07-08 |
Family
ID=72349372
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010526198.2A Active CN111650863B (en) | 2020-06-09 | 2020-06-09 | Engineering safety monitoring instrument and monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111650863B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116630974B (en) * | 2023-05-17 | 2024-02-02 | 广东智云城建科技有限公司 | Quick marking processing method and system for building image data |
| CN117952479A (en) * | 2024-03-26 | 2024-04-30 | 广州珠江装修工程有限公司 | BIM-based interior decoration engineering supervision method and system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102438036A (en) * | 2011-09-27 | 2012-05-02 | 浙江海康集团有限公司 | Real-time monitoring system for safe construction of building engineering structure and application method thereof |
| CN202756020U (en) * | 2012-06-21 | 2013-02-27 | 中铁二十一局集团有限公司 | Remote digital safety pre-warning system for tunnel preliminary bracing stress stability |
| KR101490373B1 (en) * | 2013-11-05 | 2015-02-05 | 박준영 | Safety terminal and safety managing system for detecting worker's accident in construction site and industries |
| CN106593534A (en) * | 2016-12-18 | 2017-04-26 | 河北科技大学 | Intelligent tunnel construction security monitoring system |
| CN206258706U (en) * | 2016-10-20 | 2017-06-16 | 安徽天枢信息科技有限公司 | A kind of management and control of civil air defense constructions and installations safe construction and real time monitoring system |
| CN207249677U (en) * | 2017-09-08 | 2018-04-17 | 江苏开放大学 | A kind of construction site safety monitoring system integrated based on RFID and BIM |
| CN107944118A (en) * | 2017-11-17 | 2018-04-20 | 西安建筑科技大学 | A kind of effective building safety monitoring method |
| CN108732979A (en) * | 2018-05-15 | 2018-11-02 | 浙江大学 | A kind of construction safety managing and control system based on BIM technology |
| CN109460939A (en) * | 2018-11-25 | 2019-03-12 | 四川华芯项目管理有限公司 | A kind of Municipal Engineering Construction safety control system and method based on 3DGIS+BIM technology |
| KR20190095745A (en) * | 2018-02-07 | 2019-08-16 | 중앙대학교 산학협력단 | Construction equipment real-time safety monitoring apparatus and method |
| EP3578320A1 (en) * | 2018-06-07 | 2019-12-11 | Sick AG | Configuring a hazardous area monitored by a 3d sensor |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180095450A1 (en) * | 2016-09-30 | 2018-04-05 | Velo3D, Inc. | Three-dimensional objects and their formation |
-
2020
- 2020-06-09 CN CN202010526198.2A patent/CN111650863B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102438036A (en) * | 2011-09-27 | 2012-05-02 | 浙江海康集团有限公司 | Real-time monitoring system for safe construction of building engineering structure and application method thereof |
| CN202756020U (en) * | 2012-06-21 | 2013-02-27 | 中铁二十一局集团有限公司 | Remote digital safety pre-warning system for tunnel preliminary bracing stress stability |
| KR101490373B1 (en) * | 2013-11-05 | 2015-02-05 | 박준영 | Safety terminal and safety managing system for detecting worker's accident in construction site and industries |
| CN206258706U (en) * | 2016-10-20 | 2017-06-16 | 安徽天枢信息科技有限公司 | A kind of management and control of civil air defense constructions and installations safe construction and real time monitoring system |
| CN106593534A (en) * | 2016-12-18 | 2017-04-26 | 河北科技大学 | Intelligent tunnel construction security monitoring system |
| CN207249677U (en) * | 2017-09-08 | 2018-04-17 | 江苏开放大学 | A kind of construction site safety monitoring system integrated based on RFID and BIM |
| CN107944118A (en) * | 2017-11-17 | 2018-04-20 | 西安建筑科技大学 | A kind of effective building safety monitoring method |
| KR20190095745A (en) * | 2018-02-07 | 2019-08-16 | 중앙대학교 산학협력단 | Construction equipment real-time safety monitoring apparatus and method |
| CN108732979A (en) * | 2018-05-15 | 2018-11-02 | 浙江大学 | A kind of construction safety managing and control system based on BIM technology |
| EP3578320A1 (en) * | 2018-06-07 | 2019-12-11 | Sick AG | Configuring a hazardous area monitored by a 3d sensor |
| CN109460939A (en) * | 2018-11-25 | 2019-03-12 | 四川华芯项目管理有限公司 | A kind of Municipal Engineering Construction safety control system and method based on 3DGIS+BIM technology |
Non-Patent Citations (2)
| Title |
|---|
| IoT Based Safety and Health Monitoring for Construction Workers;K. M. Mehata;《2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)》;20190620;全文 * |
| 基于GIS 的工程施工技术动态可视化辅助管理系统应用研究;范吉明;《工程技术与应用》;20191231;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111650863A (en) | 2020-09-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109978409B (en) | Multi-engineering enterprise-level intelligent construction site block chain management method | |
| CN111272220B (en) | Tunnel state detection monitoring management system | |
| CN106593534A (en) | Intelligent tunnel construction security monitoring system | |
| CN111650863B (en) | Engineering safety monitoring instrument and monitoring method | |
| CN109690570B (en) | Computer room management method and dynamic loop system | |
| CN112418764A (en) | 5G visual warehouse pipe system | |
| CN115374508A (en) | Large and medium-sized reservoir safety inspection system based on virtual reality technology | |
| CN101751744A (en) | Detection and early warning method of smoke | |
| CN112785458A (en) | Intelligent management and maintenance system for bridge health big data | |
| CN102673609A (en) | Pre-warning system and method for operation safety of railway maintenance | |
| CN111178424A (en) | Petrochemical production site safety compliance real-time detection system and method | |
| Chian et al. | Dynamic identification of crane load fall zone: A computer vision approach | |
| JPWO2019107420A1 (en) | Equipment management system | |
| CN114458967A (en) | Memory, oil and gas pipeline monitoring and early warning method, device and equipment | |
| CN110885019A (en) | Tower crane monitoring and real-time alarm system based on BIM model | |
| CN115393142A (en) | Intelligent park management method and management platform | |
| KR102615767B1 (en) | Systems and methods to support safety management services using AI vision and the Internet of Things | |
| CN116485367A (en) | Building security inspection system and method based on Internet of things | |
| CN116147697B (en) | Unattended monitoring method and system for aluminum hydroxide | |
| Isaka et al. | Next generation of global production management using sensing and analysis technology | |
| Jayaram | Computer vision applications in construction material and structural health monitoring: A scoping review | |
| CN115497242A (en) | Intelligent monitoring system and monitoring method for foreign matter invasion in railway business line construction | |
| CN114298253A (en) | Building component installation position acquisition and BIM model recording method based on Internet of things | |
| Netto et al. | Early Defect Detection in Conveyor Belts using Machine Vision. | |
| CN209946948U (en) | Intelligent reinspection equipment of PC component |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20200911 Assignee: Hunan future Bridge Technology Co.,Ltd. Assignor: Hunan City University Contract record no.: X2023980036353 Denomination of invention: An engineering safety monitoring instrument and monitoring method Granted publication date: 20220708 License type: Exclusive License Record date: 20230608 |
|
| EE01 | Entry into force of recordation of patent licensing contract |