CN116504043B - Engineering strong wind security monitoring method and system based on digital twinning - Google Patents

Engineering strong wind security monitoring method and system based on digital twinning Download PDF

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CN116504043B
CN116504043B CN202310757441.5A CN202310757441A CN116504043B CN 116504043 B CN116504043 B CN 116504043B CN 202310757441 A CN202310757441 A CN 202310757441A CN 116504043 B CN116504043 B CN 116504043B
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CN116504043A (en
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许超
邹晟
赵尚谦
庄广壬
邓永俊
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Guangdong Guangyu Technology Development Co Ltd
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Guangdong Guangyu Technology Development Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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Abstract

The application relates to a digital twinning-based engineering strong wind security monitoring method and system, which belong to the field of engineering security monitoring and comprise the following steps: establishing a digital twin model by a digital twin technology; establishing a high-risk area database; acquiring the real-time position of constructors; carrying out strong wind grade early warning information; generating a predicted collapse high-risk area and a predicted high-altitude falling high-risk area in the digital twin model; removing the evacuation line areas covered by the high-risk areas predicted to collapse and the high-risk areas predicted to fall, and comparing the lengths of the rest evacuation lines to formulate an optimal evacuation line; comparing the acquired constructor information with the evacuated constructor information to determine whether the person is not evacuated; the application realizes screening and removing of the high-risk evacuation route by covering the high-risk area and the evacuation route area, and ensures the safety evacuation of evacuation personnel in the engineering.

Description

Engineering strong wind security monitoring method and system based on digital twinning
Technical Field
The application belongs to the field of engineering security monitoring, and particularly relates to a digital twinning-based engineering strong wind security monitoring method and system.
Background
In the eighteenth century, europe created the word "engineering", which originally meant various works related to weapon manufacture, with military purposes, and then extended to many fields such as building houses, manufacturing machines, bridge construction, etc. The security protection has three protection forms of physical protection, personal protection and technical protection, and the security protection engineering refers to technical protection. The security engineering is the process of realizing security protection by adopting modern technological means, and the security product is the equipment serving the security engineering.
The current intensive construction of urban building makes the working environment complex. Along with the existence of equipment such as construction materials, peripheral temporary fixation and tower cranes, equipment collapse or construction safety events caused by high-altitude falling of the materials are easy to occur in strong wind weather, and the existing system is realized by adopting a combination mode of a safety member and a constructor. The system has strict requirements on comprehensive quality of communication coordination of people, and can complete evacuation work only by establishing unified relation and close coordination between a safety officer and a constructor, and has the advantages of complex control flow, low intelligent degree and uneconomical; in addition, the problems of misoperation, repeated communication, communication failure and the like easily occur due to misoperation or command errors, such as incapability of timely evacuation of personnel due to communication lag or non-communication in the optimal time required for evacuation, entry of constructors into accident high-risk places due to noise interference of safety personnel in the strong wind weather environment and the like. In order to avoid safety accidents caused by strong wind weather, a method and a system capable of monitoring the strong wind level in real time, predicting the high risk location of the accident and enabling constructors to withdraw correctly and timely are urgently needed.
Disclosure of Invention
The application aims to solve the technical problems, and further provides a digital twinning-based engineering strong wind security monitoring method and system.
The specific technical scheme of the application is as follows: a digital twinning-based engineering strong wind security monitoring method comprises the following steps:
s1: acquiring engineering field foundation information, and establishing a digital twin model through a digital twin technology;
s2: establishing a high-risk area database, and storing the simulated engineering equipment collapse area and the engineering material drop point area in the digital twin model into the high-risk area database;
s3: acquiring the real-time position of constructors;
s4: acquiring wind direction and wind power grade information of an engineering site, and carrying out strong wind grade early warning information by combining the acquired real-time forecast information of the engineering site issued by the weather station;
s5: inputting wind early warning information into an engineering equipment collapse area and an engineering material drop point area which are retrieved by a high-risk area database, and generating a collapse prediction high-risk area and a high-altitude falling prediction high-risk area in a digital twin model;
s6: removing the evacuation line area covered by the high-risk area predicted to collapse and the high-risk area predicted to fall according to the real-time position of constructors, and comparing the lengths of the rest evacuation lines to formulate an optimal evacuation line;
s7: and comparing the acquired constructor information with the evacuated constructor information to determine whether the person is not evacuated and assist in evacuating the person not evacuated.
Further, the method for acquiring the engineering field foundation information and establishing a digital twin model by a digital twin technology comprises the following steps of,
acquiring the occupied area information of an engineering field, and establishing an engineering field space coordinate system by taking a boundary point of the engineering field as an origin of the coordinate system;
acquiring longitude and latitude information of an engineering material warehouse, engineering equipment and a temporary road;
acquiring basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road under the engineering site space coordinate system according to longitude and latitude information of the engineering material warehouse, the engineering equipment and the temporary road and the engineering site space coordinate system;
acquiring the height coordinates of an engineering material warehouse and engineering equipment;
and establishing a digital twin model by combining the basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road and the height coordinates of the engineering material warehouse and the engineering equipment.
Further, the method for establishing the high-risk area database and storing the simulated engineering equipment collapse area and the engineering material drop point area in the digital twin model into the high-risk area database comprises the following steps of,
establishing a high-risk area database;
obtaining grade information corresponding to the wind intensity to generate a strong wind grade;
acquiring wind resistance grade information of engineering equipment and inputting a digital twin model;
simulating collapse areas of engineering equipment in different strong wind grades in a digital twin model and storing the collapse areas in a high-risk area database;
acquiring wind resistance intensity of engineering materials and inputting the wind resistance intensity into a digital twin model;
and simulating engineering material drop point areas with different heights in different strong wind grades in the digital twin model, and storing the engineering material drop point areas in a high-risk area database.
Further, the method for acquiring the real-time position of the constructor comprises the following steps of,
acquiring position information of an image acquisition device, and acquiring coordinates of the image acquisition device under a space coordinate system of an engineering site according to the position information of the image acquisition device;
acquiring engineering site images in real time and identifying identification mark safety helmets worn by constructors in the engineering site images,
acquiring real-time coordinates of constructors according to the identification result and coordinates of image acquisition equipment in the engineering site space coordinate system;
and synchronously displaying the real-time position of the constructor in the digital twin model according to the real-time coordinates of the constructor.
Further, the method for obtaining the wind direction and wind power grade information of the engineering site and obtaining the real-time forecast information of the engineering site issued by the weather station to perform strong wind grade early warning information comprises the following steps of,
acquiring real-time wind direction information and real-time wind power grade information of an engineering site;
acquiring wind direction forecast information and wind level forecast information of an area where an engineering site issued by an weather station is located;
acquiring engineering site wind direction early warning information according to the real-time wind direction information and the wind direction forecast information;
and acquiring the wind power early warning information of the engineering site according to the real-time wind power grade information and the wind power grade forecast information.
Furthermore, the method for inputting the wind early warning information into the collapse area of the engineering equipment and the drop point area of the engineering materials, which are called by the high-risk area database, and generating the predicted collapse high-risk area and the predicted high-altitude falling high-risk area in the digital twin model is that,
inputting wind early warning information into a high-risk area database, and calling an engineering equipment collapse area under the corresponding wind power level;
generating a collapse region in the digital twin model according to the engineering equipment collapse region and the engineering equipment coordinates;
acquiring the maximum predicted collapse direction included angle of the engineering equipment according to the wind direction early warning information;
acquiring a collapse prediction high-risk area of the engineering equipment according to the included angle of the maximum collapse prediction direction of the engineering equipment and the collapse area, wherein the collapse prediction high-risk area of the engineering equipment is specifically a sector;
inputting wind early warning information into a high-risk area database, and calling an engineering material drop point area under the corresponding wind power level;
acquiring a high-altitude falling high-risk area according to wind direction early warning information and an engineering material falling point area;
and generating a high-risk area for high altitude falling according to the high-risk areas for high altitude falling and the engineering material coordinates.
Furthermore, the method for preparing the optimal evacuation line by comparing the lengths of the rest evacuation lines comprises the steps of removing the evacuation line area covered by the predicted collapse high-risk area and the predicted high-altitude falling high-risk area according to the real-time position of constructors,
setting the real-time position of constructor as a starting point in the digital twin model, wherein the starting point coordinate is QD (X Q ,Y Q );
Setting an engineering site outlet and inlet as an endpoint in a digital twin model, wherein the endpoint has a coordinate of ZD (X Z ,Y Z );
The corner points of each road are set as passing points in the digital twin model, and the coordinates of the passing points are JD 1 (X 1 ,Y 1 )、JD 2 (X 2 ,Y 2 )····JD n (X n ,Y n );
Generating an evacuation line according to the connection start point, the plurality of passing points and the end point;
generating an evacuation line area according to the road width information and the evacuation line;
judging whether the predicted collapse high-risk area and the predicted high-altitude falling high-risk area cover the evacuation line area or not in the digital twin model, and if the evacuation line area is covered by the predicted collapse high-risk area or the predicted high-altitude falling high-risk area, marking the covered evacuation line area as a high-risk route and removing the covered evacuation line area; obtaining the straight line distance Q from the starting point to the nearest passing point according to the coordinates of the starting point and the nearest passing point, wherein,
obtaining the straight line distance J of two adjacent passing points according to the coordinates of the two adjacent passing points, wherein,
obtaining the straight line distance Z from the terminal point to the nearest passing point according to the coordinates of the terminal point and the nearest passing point, wherein,
a plurality of evacuation distances C are acquired, wherein, c1=q1+j1+z1 c2=q2+j2+z2· cn= qn+jn+zn;
the optimal evacuation route is determined by comparing the values of the plurality of evacuation distances to carry out rank arrangement;
and transmitting the optimal evacuation route to the information receiving terminal worn by the corresponding staff and triggering an alarm of the information receiving terminal.
Further, the method for determining whether the non-evacuated persons exist or not and assisting the evacuation of the non-evacuated persons according to the comparison of the acquired constructor information and the evacuated constructor information is that,
acquiring face information and contact information of constructors in an engineering site;
acquiring face information of the evacuated constructors, and comparing the face information with the entrance constructors to confirm that the constructors are not evacuated;
the construction personnel without reply is confirmed and marked through feedback information by connecting the construction personnel without evacuation and the information receiving terminal with the construction personnel without evacuation;
and dispatching assisting personnel according to the real-time position of the constructor to assist the non-replied constructor in the optimal evacuation route.
An engineering strong wind security monitoring system based on digital twinning, comprising: the system comprises a central processing unit, a database, a digital twin platform, an LED display large screen, a monitoring terminal, a wind power and wind direction detector, a weather cloud platform, a wireless communication module and a mobile terminal,
the central processing unit visualizes the digital twin monitoring security information through being connected with the LED display large screen;
the central processing unit is connected with the plurality of monitoring terminals to acquire image information of constructors, and further acquires position information of the constructors according to the coordinates of the monitoring terminals combined with the identification mark safety helmet;
the central processing unit is connected with the wind power and wind direction detector to acquire peripheral wind direction and wind speed information of the engineering construction site;
the central processing unit is connected with the weather cloud platform to obtain weather forecast of the engineering construction site; and early warning wind power intensity is timely generated in advance by combining the peripheral wind direction and wind speed information of the engineering construction site;
the central processing unit is connected with the digital twin platform to obtain engineering equipment and engineering materials in the digital twin model, and timely update the position information of constructors;
the central processing unit is connected with the database, receives early warning instructions and inputs early warning wind power intensity in real time, and the database feeds back a collapse area of the engineering equipment and a falling point area of the engineering material to generate a collapse high-risk area and a high-risk area of the high-altitude falling object by combining coordinates of the engineering equipment and coordinates of the engineering material in the digital twin model;
the central processing unit transmits the optimal evacuation path calculated in real time to the mobile terminal worn by the constructor through the wireless communication module.
The beneficial effects are that: according to the application, the wind early warning information is input into the collapse area and the drop point area of engineering equipment, which are acquired by the high-risk area database, and the predicted collapse high-risk area and the predicted high-altitude fall high-risk area are generated in the digital twin model, the evacuation line area covered by the predicted collapse high-risk area and the predicted high-altitude fall high-risk area is eliminated according to the real-time position of constructors, the length of the rest evacuation line is compared to prepare the optimal evacuation line, and whether non-evacuated persons exist or not is determined according to the acquired constructor information and the evacuated constructor information and the non-evacuated persons are assisted to evacuate, so that the strong wind early warning is carried out on the engineering site and the established optimal evacuation line is timely informed to constructors, and the situations that the constructors do not know the early warning information timely and the non-timely evacuation line is not known, or the safety accident occurs due to the fact that the constructors mistakenly enter the high-risk area in the evacuation process are avoided.
The application establishes an engineering field space coordinate system by acquiring the engineering field occupied area information and taking an engineering field boundary point as a coordinate system origin; acquiring longitude and latitude information of an engineering material warehouse, engineering equipment and a temporary road; acquiring basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road under the engineering site space coordinate system according to longitude and latitude information of the engineering material warehouse, the engineering equipment and the temporary road and the engineering site space coordinate system; acquiring the height coordinates of an engineering material warehouse and engineering equipment; the digital twin model is built by combining the basic position coordinates of the Cheng Wuliao warehouse, the engineering equipment and the temporary road and the height coordinates of the engineering material warehouse and the engineering equipment, so that the basic building of the digital twin model is realized, the bottom layer framework of the method is provided, and the monitoring effect of subsequent security monitoring is enhanced.
According to the application, wind resistance grade information of engineering equipment is obtained and a digital twin model is input; simulating collapse areas of engineering equipment in different strong wind grades in a digital twin model and storing the collapse areas in a high-risk area database; acquiring wind resistance intensity of engineering materials and inputting the wind resistance intensity into a digital twin model; the method comprises the steps of simulating engineering material drop point areas with different heights in a digital twin model when different strong wind levels are obtained, storing the engineering material drop point areas into a high-risk area database, storing various experimental data into the high-risk area database, and optimizing the calculation effect by inputting corresponding experimental data which are called by the corresponding wind levels.
Acquiring position information of an image acquisition device, and acquiring coordinates of the image acquisition device under a space coordinate system of an engineering site according to the position information of the image acquisition device; acquiring an engineering site image in real time, identifying an identification mark safety helmet worn by a constructor in the engineering site image, and acquiring real-time coordinates of the constructor according to the identification result and coordinates of image acquisition equipment in an engineering site space coordinate system; the real-time positions of constructors are synchronously displayed in the digital twin model according to the real-time coordinates of the constructors, so that the position positioning of the constructors in the engineering site is realized, and the problem that the constructors cannot be positioned is avoided.
The method comprises the steps of obtaining real-time wind direction information and real-time wind power grade information of an engineering site; acquiring wind direction forecast information and wind level forecast information of an area where an engineering site issued by an weather station is located; acquiring engineering site wind direction early warning information according to the real-time wind direction information and the wind direction forecast information; and acquiring the wind power early warning information of the engineering site according to the real-time wind power grade information and the wind power grade forecast information, so that the double-channel acquisition of digital forecast and display feedback is realized, and the accuracy of the early warning information is improved.
According to the application, wind early warning information is input into a high-risk area database, and the collapse area of engineering equipment under the corresponding wind power grade is called; generating a collapse region in the digital twin model according to the engineering equipment collapse region and the engineering equipment coordinates; acquiring the maximum predicted collapse direction included angle of the engineering equipment according to the wind direction early warning information; acquiring a collapse prediction high-risk area of the engineering equipment according to the included angle of the maximum collapse prediction direction of the engineering equipment and the collapse area, wherein the collapse prediction high-risk area of the engineering equipment is specifically a sector; inputting wind early warning information into a high-risk area database, and calling an engineering material drop point area under the corresponding wind power level; acquiring a high-altitude falling high-risk area according to wind direction early warning information and an engineering material falling point area; the high-risk areas for high altitude falling are generated according to the high-risk areas for high altitude falling and the engineering material coordinates, so that the data corresponding to engineering equipment and engineering materials are called in a high-risk area database and combined with a digital twin model to generate the high-risk areas for high altitude falling, and the information acquisition efficiency is improved.
The application generates an evacuation line according to a connection starting point, a plurality of passing points and an end point; generating an evacuation line area according to the road width information and the evacuation line; judging whether the predicted collapse high-risk area and the predicted high-altitude falling high-risk area cover the evacuation line area or not in the digital twin model, if the evacuation line area is covered by the predicted collapse high-risk area or the predicted high-altitude falling high-risk area, marking the covered evacuation line area as a high-risk line and removing the high-risk line, judging and removing the dangerous line is achieved, and the safety of the line when constructors withdraw is guaranteed.
The application compares the face information of the evacuated constructors with the entrance constructors to confirm the non-evacuated constructors; the construction personnel without reply is confirmed and marked through feedback information by connecting the construction personnel without evacuation and the information receiving terminal with the construction personnel without evacuation; and the non-recovery constructors are assisted to evacuate according to the real-time position dispatch assisting personnel of the constructors and the optimal evacuation route, so that the secondary evacuation guarantee of the non-evacuated constructors is realized, and the occurrence of the condition that the constructors are not evacuated is avoided.
Drawings
FIG. 1 is a flow chart of the present application;
FIG. 2 is a schematic diagram of a system according to the present application;
in the figure: the system comprises a central processing unit 101, a database 102, a digital twin platform 103, an LED display large screen 104, a monitoring terminal 105, a wind direction detector 106, a weather cloud platform 107, a wireless communication module 108 and a mobile terminal 109.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present application, it should be understood that the terms "upper," "middle," "outer," "inner," and the like indicate an orientation or a positional relationship, and are merely for convenience of describing the present application and simplifying the description, but do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.
Example 1: an engineering strong wind security monitoring method based on digital twinning is described with reference to fig. 1, which comprises the following steps:
s1: acquiring engineering field foundation information, and establishing a digital twin model through a digital twin technology;
s2: establishing a high-risk area database, and storing the simulated engineering equipment collapse area and the engineering material drop point area in the digital twin model into the high-risk area database;
s3: acquiring the real-time position of constructors;
s4: acquiring wind direction and wind power grade information of an engineering site, and carrying out strong wind grade early warning information by combining the acquired real-time forecast information of the engineering site issued by the weather station;
s5: inputting wind early warning information into an engineering equipment collapse area and an engineering material drop point area which are retrieved by a high-risk area database, and generating a collapse prediction high-risk area and a high-altitude falling prediction high-risk area in a digital twin model;
s6: removing the evacuation line area covered by the high-risk area predicted to collapse and the high-risk area predicted to fall according to the real-time position of constructors, and comparing the lengths of the rest evacuation lines to formulate an optimal evacuation line;
s7: comparing the acquired constructor information with the evacuated constructor information to determine whether the person is not evacuated and assist in evacuating the person not evacuated;
wherein, the engineering site foundation information includes: engineering equipment, an engineering material storage warehouse, an engineering material temporary storage point, a personnel channel and a temporary road in an engineering site; the high-risk area database stores the data simulated by the digital twin model, and the stored data can be called when needed; the strong wind level early warning information is early warning information meeting the evacuation time through the long-time forecast of a large-range area where the engineering site issued by the weather station is located and the wind power and wind direction information acquired by a wind speed and wind direction sensor arranged at the engineering site; the collapse area of the engineering equipment is a collapse area generated by the collapse of the engineering equipment with different heights, different models and different functions simulated in the digital twin model under each wind force; the engineering material drop point area is a high-altitude drop area generated when each material simulated in the digital twin model drops to the ground from different heights under different wind forces; the predicted collapse high-risk area is a predicted collapse area aiming at the real-time position of the engineering equipment in the digital twin model after matching the collapse area of the engineering equipment in the high-risk area database with the actual equipment position of the digital twin model of the engineering; the high-risk area for high altitude falling is a predicted high altitude falling area aiming at the real-time position of the engineering material in the digital twin model after the engineering material falling point area is matched with the actual material position of the digital twin model of the engineering; the evacuation line area is an area for generating an evacuation line in the digital twin model; the optimal evacuation route is obtained by comparing the evacuation route area with the predicted collapse area and the predicted high-altitude falling area.
According to the application, the wind early warning information is input into the collapse area and the drop point area of engineering equipment, which are acquired by the high-risk area database, and the predicted collapse high-risk area and the predicted high-altitude fall high-risk area are generated in the digital twin model, the evacuation line area covered by the predicted collapse high-risk area and the predicted high-altitude fall high-risk area is eliminated according to the real-time position of constructors, the length of the rest evacuation line is compared to prepare the optimal evacuation line, and whether non-evacuated persons exist or not is determined according to the acquired constructor information and the evacuated constructor information and the non-evacuated persons are assisted to evacuate, so that the strong wind early warning is carried out on the engineering site and the established optimal evacuation line is timely informed to constructors, and the situations that the constructors do not know the early warning information timely and the non-timely evacuation line is not known, or the safety accident occurs due to the fact that the constructors mistakenly enter the high-risk area in the evacuation process are avoided.
Example 2: referring to fig. 1, according to a digital twin-based engineering strong wind security monitoring method of embodiment 1, the method for obtaining engineering site foundation information and establishing a digital twin model by digital twin technology is that,
acquiring the occupied area information of an engineering field, and establishing an engineering field space coordinate system by taking a boundary point of the engineering field as an origin of the coordinate system;
acquiring longitude and latitude information of an engineering material warehouse, engineering equipment and a temporary road;
acquiring basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road under the engineering site space coordinate system according to longitude and latitude information of the engineering material warehouse, the engineering equipment and the temporary road and the engineering site space coordinate system;
acquiring the height coordinates of an engineering material warehouse and engineering equipment;
and establishing a digital twin model by combining the basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road and the height coordinates of the engineering material warehouse and the engineering equipment.
The engineering site occupied area information is longitude information, latitude information, length information and width information acquired by the outside; the space coordinate system of the engineering field is X-axis in the east-west direction, Y-axis in the north-south direction, and coordinate system origin (0, 0) in the boundary point of the engineering field, and the engineering field is arranged in the first quadrant of the space coordinate system of the engineering field in the same direction; and the basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road are the plane positions of the engineering material warehouse, the engineering equipment and the temporary road in the digital twin model.
The application establishes an engineering field space coordinate system by acquiring the engineering field occupied area information and taking an engineering field boundary point as a coordinate system origin; acquiring longitude and latitude information of an engineering material warehouse, engineering equipment and a temporary road; acquiring basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road under the engineering site space coordinate system according to longitude and latitude information of the engineering material warehouse, the engineering equipment and the temporary road and the engineering site space coordinate system; acquiring the height coordinates of an engineering material warehouse and engineering equipment; the digital twin model is built by combining the basic position coordinates of the Cheng Wuliao warehouse, the engineering equipment and the temporary road and the height coordinates of the engineering material warehouse and the engineering equipment, so that the basic building of the digital twin model is realized, the bottom layer framework of the method is provided, and the monitoring effect of subsequent security monitoring is enhanced.
Example 3: referring to fig. 1, according to the method for monitoring and controlling engineering strong wind based on digital twin of embodiment 1, the method for creating the high-risk area database and storing the simulated engineering equipment collapse area and the engineering material drop point area in the digital twin model into the high-risk area database is that,
establishing a high-risk area database;
obtaining grade information corresponding to the wind intensity to generate a strong wind grade;
acquiring wind resistance grade information of engineering equipment and inputting a digital twin model;
simulating collapse areas of engineering equipment in different strong wind grades in a digital twin model and storing the collapse areas in a high-risk area database;
acquiring wind resistance intensity of engineering materials and inputting the wind resistance intensity into a digital twin model;
and simulating engineering material drop point areas with different heights in different strong wind grades in the digital twin model, and storing the engineering material drop point areas in a high-risk area database.
The strong wind grade is the grade corresponding to each wind power; the engineering equipment wind-resistant grade information is wind-resistant grade information published by equipment manufacturers when the equipment leaves the factory; the wind resistance strength of the engineering material is the grade corresponding to the maximum wind power which can be born by the engineering material;
according to the application, wind resistance grade information of engineering equipment is obtained and a digital twin model is input; simulating collapse areas of engineering equipment in different strong wind grades in a digital twin model and storing the collapse areas in a high-risk area database; acquiring wind resistance intensity of engineering materials and inputting the wind resistance intensity into a digital twin model; the method comprises the steps of simulating engineering material drop point areas with different heights in a digital twin model when different strong wind levels are obtained, storing the engineering material drop point areas into a high-risk area database, storing various experimental data into the high-risk area database, and optimizing the calculation effect by inputting corresponding experimental data which are called by the corresponding wind levels.
Example 4: referring to fig. 1, according to a digital twin-based engineering strong wind security monitoring method of embodiment 1, the method for obtaining the real-time position of constructors is that,
acquiring position information of an image acquisition device, and acquiring coordinates of the image acquisition device under a space coordinate system of an engineering site according to the position information of the image acquisition device;
acquiring engineering site images in real time and identifying identification mark safety helmets worn by constructors in the engineering site images,
acquiring real-time coordinates of constructors according to the identification result and coordinates of image acquisition equipment in the engineering site space coordinate system;
and synchronously displaying the real-time position of the constructor in the digital twin model according to the real-time coordinates of the constructor.
The coordinates of the image acquisition equipment are the coordinates of the image acquisition equipment under the space coordinate system of the engineering site; the identification mark safety helmet is a construction personnel entering wearing device, the identification mark is arranged on the outer leakage surface of the safety helmet, and the image acquisition equipment captures the identification mark on the safety helmet.
Acquiring position information of an image acquisition device, and acquiring coordinates of the image acquisition device under a space coordinate system of an engineering site according to the position information of the image acquisition device; acquiring an engineering site image in real time, identifying an identification mark safety helmet worn by a constructor in the engineering site image, and acquiring real-time coordinates of the constructor according to the identification result and coordinates of image acquisition equipment in an engineering site space coordinate system; the real-time positions of constructors are synchronously displayed in the digital twin model according to the real-time coordinates of the constructors, so that the position positioning of the constructors in the engineering site is realized, and the problem that the constructors cannot be positioned is avoided.
Example 5: referring to fig. 1, a method for obtaining wind direction and wind level information of an engineering site and obtaining real-time forecast information of the engineering site issued by an weather table to perform strong wind level early warning information according to an embodiment 1 of the present application is as follows,
acquiring real-time wind direction information and real-time wind power grade information of an engineering site;
acquiring wind direction forecast information and wind level forecast information of an area where an engineering site issued by an weather station is located;
acquiring engineering site wind direction early warning information according to the real-time wind direction information and the wind direction forecast information;
and acquiring the wind power early warning information of the engineering site according to the real-time wind power grade information and the wind power grade forecast information.
The method comprises the steps of obtaining real-time wind direction information and real-time wind power grade information of an engineering site; acquiring wind direction forecast information and wind level forecast information of an area where an engineering site issued by an weather station is located; acquiring engineering site wind direction early warning information according to the real-time wind direction information and the wind direction forecast information; and acquiring the wind power early warning information of the engineering site according to the real-time wind power grade information and the wind power grade forecast information, so that the double-channel acquisition of digital forecast and display feedback is realized, and the accuracy of the early warning information is improved.
Example 6: referring to fig. 1, according to the method for monitoring and controlling the engineering strong wind based on digital twin of embodiment 5, the method for inputting wind early warning information into the collapse area and the landing area of engineering materials of the engineering equipment retrieved by the high-risk area database and generating the predicted collapse high-risk area and the predicted high-risk area for high-altitude falling in the digital twin model is that,
inputting wind early warning information into a high-risk area database, and calling an engineering equipment collapse area under the corresponding wind power level;
generating a collapse region in the digital twin model according to the engineering equipment collapse region and the engineering equipment coordinates;
acquiring the maximum predicted collapse direction included angle of the engineering equipment according to the wind direction early warning information;
acquiring a collapse prediction high-risk area of the engineering equipment according to the included angle of the maximum collapse prediction direction of the engineering equipment and the collapse area, wherein the collapse prediction high-risk area of the engineering equipment is specifically a sector;
inputting wind early warning information into a high-risk area database, and calling an engineering material drop point area under the corresponding wind power level;
acquiring a high-altitude falling high-risk area according to wind direction early warning information and an engineering material falling point area;
and generating a high-risk area for high altitude falling according to the high-risk areas for high altitude falling and the engineering material coordinates.
The included angle of the maximum predicted collapse direction of the engineering equipment is an internal angle based on an origin point, wherein the outermost collapse direction is generated when the wind direction changes under multiple conditions.
According to the application, wind early warning information is input into a high-risk area database, and the collapse area of engineering equipment under the corresponding wind power grade is called; generating a collapse region in the digital twin model according to the engineering equipment collapse region and the engineering equipment coordinates; acquiring the maximum predicted collapse direction included angle of the engineering equipment according to the wind direction early warning information; acquiring a collapse prediction high-risk area of the engineering equipment according to the included angle of the maximum collapse prediction direction of the engineering equipment and the collapse area, wherein the collapse prediction high-risk area of the engineering equipment is specifically a sector; inputting wind early warning information into a high-risk area database, and calling an engineering material drop point area under the corresponding wind power level; acquiring a high-altitude falling high-risk area according to wind direction early warning information and an engineering material falling point area; the high-risk areas for high altitude falling are generated according to the high-risk areas for high altitude falling and the engineering material coordinates, so that the data corresponding to engineering equipment and engineering materials are called in a high-risk area database and combined with a digital twin model to generate the high-risk areas for high altitude falling, and the information acquisition efficiency is improved.
Example 7: referring to fig. 1, according to the digital twin-based engineering strong wind security monitoring method of embodiment 6, according to the real-time position of constructors, the method for eliminating the evacuation line area covered by the predicted collapse high risk area and the predicted high-altitude fall high risk area and comparing the lengths of the remaining evacuation lines to formulate the optimal evacuation line is that,
setting the real-time position of constructor as a starting point in the digital twin model, wherein the starting point coordinate is QD (X Q ,Y Q );
Setting an engineering site outlet and inlet as an endpoint in a digital twin model, wherein the endpoint has a coordinate of ZD (X Z ,Y Z );
The corner points of each road are set as passing points in the digital twin model, and the coordinates of the passing points are JD 1 (X 1 ,Y 1 )、JD 2 (X 2 ,Y 2 )····JD n (X n ,Y n );
Generating an evacuation line according to the connection start point, the plurality of passing points and the end point;
generating an evacuation line area according to the road width information and the evacuation line;
judging whether the predicted collapse high-risk area and the predicted high-altitude falling high-risk area cover the evacuation line area or not in the digital twin model, and if the evacuation line area is covered by the predicted collapse high-risk area or the predicted high-altitude falling high-risk area, marking the covered evacuation line area as a high-risk route and removing the covered evacuation line area; obtaining the straight line distance Q from the starting point to the nearest passing point according to the coordinates of the starting point and the nearest passing point, wherein,
obtaining the straight line distance J of two adjacent passing points according to the coordinates of the two adjacent passing points, wherein,
obtaining the straight line distance Z from the terminal point to the nearest passing point according to the coordinates of the terminal point and the nearest passing point, wherein,
acquiring a plurality of evacuation distances CWherein, the method comprises the steps of, wherein, c1=q1+j1+z1 c2=q2+j2+z2· cn= qn+jn+zn;
the optimal evacuation route is determined by comparing the values of the plurality of evacuation distances to carry out rank arrangement;
and transmitting the optimal evacuation route to the information receiving terminal worn by the corresponding staff and triggering an alarm of the information receiving terminal.
The application generates an evacuation line according to a connection starting point, a plurality of passing points and an end point; generating an evacuation line area according to the road width information and the evacuation line; judging whether the predicted collapse high-risk area and the predicted high-altitude falling high-risk area cover the evacuation line area or not in the digital twin model, if the evacuation line area is covered by the predicted collapse high-risk area or the predicted high-altitude falling high-risk area, marking the covered evacuation line area as a high-risk line and removing the high-risk line, judging and removing the dangerous line is achieved, and the safety of the line when constructors withdraw is guaranteed.
Example 8: as described with reference to fig. 1, a digital twin-based engineering strong wind security monitoring method according to embodiment 7, the method for determining whether there is an unexplained person and assisting evacuation of the unexplained person according to comparison between the acquired constructor information and the evacuated constructor information,
acquiring face information and contact information of constructors in an engineering site;
acquiring face information of the evacuated constructors, and comparing the face information with the entrance constructors to confirm that the constructors are not evacuated;
the construction personnel without reply is confirmed and marked through feedback information by connecting the construction personnel without evacuation and the information receiving terminal with the construction personnel without evacuation;
and dispatching assisting personnel according to the real-time position of the constructor to assist the non-replied constructor in the optimal evacuation route.
The contact way is communication equipment worn by constructors in a personal way; the assisting personnel are safety guiding personnel conforming to the safety strong bars in engineering construction.
The application compares the face information of the evacuated constructors with the entrance constructors to confirm the non-evacuated constructors; the construction personnel without reply is confirmed and marked through feedback information by connecting the construction personnel without evacuation and the information receiving terminal with the construction personnel without evacuation; and the non-recovery constructors are assisted to evacuate according to the real-time position dispatch assisting personnel of the constructors and the optimal evacuation route, so that the secondary evacuation guarantee of the non-evacuated constructors is realized, and the occurrence of the condition that the constructors are not evacuated is avoided.
Example 9: describing with reference to fig. 2, a digital twinning-based engineering strong wind security monitoring system includes: a central processing unit 101, a database 102, a digital twin platform 103, an LED display large screen 104, a monitoring terminal 105, a wind direction detector 106, a weather cloud platform 107, a wireless communication module 108 and a mobile terminal 109,
the central processing unit 101 visualizes digital twin monitoring security information through being connected with the LED display large screen 104;
the central processing unit 101 acquires image information of constructors through connection with a plurality of monitoring terminals 105, and further acquires position information of the constructors according to coordinates of the monitoring terminals 105 combined with the identification mark safety helmet;
the central processing unit 101 acquires information of the peripheral wind direction and wind speed of the engineering construction site by being connected with the wind direction detector 106;
the central processing unit 101 acquires weather forecast of the engineering construction site through connection with the weather cloud platform 107; and early warning wind power intensity is timely generated in advance by combining the peripheral wind direction and wind speed information of the engineering construction site;
the central processing unit 101 acquires engineering equipment and engineering materials in the digital twin model by being connected with the digital twin platform 103, and timely updates the position information of constructors;
the central processing unit 101 is connected with the database 102, receives early warning instructions and inputs early warning wind power intensity in real time, and the database 102 feeds back a collapse area of engineering equipment and a drop point area of engineering materials to generate a collapse high-risk area and a high-risk area of high-altitude falling objects by combining coordinates of the engineering equipment and coordinates of the engineering materials in the digital twin model;
the central processing unit 101 transmits the optimal evacuation path calculated in real time to the mobile terminal 109 worn by the constructor through the wireless communication module 108, so that the security monitoring of the engineering is realized.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.

Claims (5)

1. The engineering strong wind security monitoring method based on digital twinning is characterized by comprising the following steps of:
s1: acquiring engineering field foundation information, and establishing a digital twin model through a digital twin technology;
s2: establishing a high-risk area database, and storing the simulated engineering equipment collapse area and the engineering material drop point area in the digital twin model into the high-risk area database;
s3: acquiring the real-time position of constructors;
s4: the method comprises the steps of acquiring wind direction and wind power grade information of an engineering site, and acquiring real-time forecast information of the engineering site issued by an weather table to perform strong wind grade early warning information; acquiring wind direction forecast information and wind level forecast information of an area where an engineering site issued by an weather station is located; acquiring engineering site wind direction early warning information according to the real-time wind direction information and the wind direction forecast information; acquiring wind power early warning information of the engineering site according to the real-time wind power grade information and the wind power grade forecast information;
s5: inputting wind early-warning information into a high-risk area database, retrieving an engineering equipment collapse area and an engineering material drop point area, and generating a predicted collapse high-risk area and a predicted high-altitude falling high-risk area in a digital twin model; generating a collapse region in the digital twin model according to the engineering equipment collapse region and the engineering equipment coordinates; acquiring the maximum predicted collapse direction included angle of the engineering equipment according to the wind direction early warning information; acquiring a collapse prediction high-risk area of the engineering equipment according to the included angle of the maximum collapse prediction direction of the engineering equipment and the collapse area, wherein the collapse prediction high-risk area of the engineering equipment is specifically a sector; inputting wind early warning information into a high-risk area database, and calling an engineering material drop point area under the corresponding wind power level; acquiring a high-altitude falling high-risk area according to wind direction early warning information and an engineering material falling point area; generating a high-risk area for high altitude falling according to the high-risk areas for high altitude falling and the engineering material coordinates;
s6: according to the real-time position of constructors, removing the areas of the evacuation lines covered by the areas of high risk of predicted collapse and the areas of high risk of predicted high altitude fall, and performing length comparison on the rest evacuation lines to formulate an optimal evacuation line, wherein the real-time position of constructors is set as a starting point in a digital twin model, and the coordinates of the starting point are QD (X Q ,Y Q ) The method comprises the steps of carrying out a first treatment on the surface of the Setting an engineering site outlet and inlet as an endpoint in a digital twin model, wherein the endpoint has a coordinate of ZD (X Z ,Y Z ) The method comprises the steps of carrying out a first treatment on the surface of the The corner points of each road are set as passing points in the digital twin model, and the coordinates of the passing points are JD 1 (X 1 ,Y 1 )、JD 2 (X 2 ,Y 2 )····JD n (X n ,Y n ) The method comprises the steps of carrying out a first treatment on the surface of the Generating an evacuation line according to the connection start point, the plurality of passing points and the end point; generating an evacuation line area according to the road width information and the evacuation line; judging whether the predicted collapse high-risk area and the predicted high-altitude falling high-risk area cover the evacuation line area or not in the digital twin model, and if the evacuation line area is covered by the predicted collapse high-risk area or the predicted high-altitude falling high-risk area, marking the covered evacuation line area as a high-risk route and removing the covered evacuation line area; obtaining the straight line distance Q from the starting point to the nearest passing point according to the coordinates of the starting point and the nearest passing point, wherein,acquiring the straight line distance J of two adjacent passing points according to the coordinates of the two adjacent passing points, wherein +_>Obtaining the straight line distance Z from the terminal point to the nearest passing point according to the coordinates of the terminal point and the nearest passing point, wherein +.>A plurality of evacuation distances C are acquired, wherein, c1=q1+j1+z1 c2=q2+j2+z2· cn= qn+jn+zn; the optimal evacuation route is determined by comparing the values of the plurality of evacuation distances to carry out rank arrangement; the optimal evacuation route is issued to the information receiving terminal worn by the corresponding staff and an alarm of the information receiving terminal is triggered;
s7: and comparing the acquired constructor information with the evacuated constructor information to determine whether the person is not evacuated and assist in evacuating the person not evacuated.
2. The method for monitoring engineering strong wind security based on digital twinning according to claim 1, wherein the method for obtaining engineering site foundation information and establishing a digital twinning model by digital twinning technology is as follows,
acquiring the occupied area information of an engineering field, and establishing an engineering field space coordinate system by taking a boundary point of the engineering field as an origin of the coordinate system;
acquiring longitude and latitude information of an engineering material warehouse, engineering equipment and a temporary road;
acquiring basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road under the engineering site space coordinate system according to longitude and latitude information of the engineering material warehouse, the engineering equipment and the temporary road and the engineering site space coordinate system;
acquiring the height coordinates of an engineering material warehouse and engineering equipment;
and establishing a digital twin model by combining the basic position coordinates of the engineering material warehouse, the engineering equipment and the temporary road and the height coordinates of the engineering material warehouse and the engineering equipment.
3. The method for monitoring engineering strong wind security based on digital twin according to claim 1, wherein the method for establishing a high-risk area database and storing the simulated engineering equipment collapse area and the engineering material drop point area in the digital twin model into the high-risk area database is as follows,
establishing a high-risk area database;
obtaining grade information corresponding to the wind intensity to generate a strong wind grade;
acquiring wind resistance grade information of engineering equipment and inputting a digital twin model;
simulating collapse areas of engineering equipment in different strong wind grades in a digital twin model and storing the collapse areas in a high-risk area database;
acquiring wind resistance intensity of engineering materials and inputting the wind resistance intensity into a digital twin model;
and simulating engineering material drop point areas with different heights in different strong wind grades in the digital twin model, and storing the engineering material drop point areas in a high-risk area database.
4. The method for monitoring engineering strong wind security based on digital twinning according to claim 1, wherein the method for acquiring the real-time position of constructors is as follows,
acquiring position information of an image acquisition device, and acquiring coordinates of the image acquisition device under a space coordinate system of an engineering site according to the position information of the image acquisition device;
acquiring engineering site images in real time and identifying identification mark safety helmets worn by constructors in the engineering site images,
acquiring real-time coordinates of constructors according to the identification result and coordinates of image acquisition equipment in the engineering site space coordinate system;
and synchronously displaying the real-time position of the constructor in the digital twin model according to the real-time coordinates of the constructor.
5. The method for monitoring engineering strong wind security based on digital twinning according to claim 1, wherein the method for determining whether there is an unexplained person and assisting evacuation of the unexplained person according to the acquired constructor information and the evacuated constructor information is,
acquiring face information and contact information of constructors in an engineering site;
acquiring face information of the evacuated constructors, and comparing the face information with the entrance constructors to confirm that the constructors are not evacuated;
the construction personnel without reply is confirmed and marked through feedback information by connecting the construction personnel without evacuation and the information receiving terminal with the construction personnel without evacuation;
and dispatching assisting personnel according to the real-time position of the constructor to assist the non-replied constructor in the optimal evacuation route.
CN202310757441.5A 2023-06-26 2023-06-26 Engineering strong wind security monitoring method and system based on digital twinning Active CN116504043B (en)

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