CN114997703B - Construction site safety risk management and control method based on BIM and wireless communication technology - Google Patents

Construction site safety risk management and control method based on BIM and wireless communication technology Download PDF

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CN114997703B
CN114997703B CN202210725046.4A CN202210725046A CN114997703B CN 114997703 B CN114997703 B CN 114997703B CN 202210725046 A CN202210725046 A CN 202210725046A CN 114997703 B CN114997703 B CN 114997703B
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construction site
wireless communication
nodes
monitoring data
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CN114997703A (en
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杨道欣
范良宜
杨大田
杨钰树
梁艳青
黄涛
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Guangzhou Hi Tech Engineering Consulting Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • 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
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a construction site safety risk management and control method based on BIM and wireless communication technology, which comprises the following steps of S1, constructing a construction site monitoring terminal comprising a construction site BIM model; s2, establishing a construction site communication network based on a wireless communication technology; s3, acquiring monitoring data of a construction site; s4, transmitting the monitoring data to a construction site monitoring terminal through a communication network, and leading the monitoring data into a BIM model by the construction site monitoring terminal for display; s5, the construction site monitoring terminal inputs monitoring data into a pre-trained neural network model to judge whether safety risks exist or not; s6, if the safety risk exists, the construction site monitoring terminal highlights the area corresponding to the safety risk in the construction site BIM model, and sends out a risk prompt according to a set risk prompt mode. The invention realizes that monitoring data is timely transmitted to the BIM model for risk monitoring in the area with poor communication signals of the cellular network.

Description

Construction site safety risk management and control method based on BIM and wireless communication technology
Technical Field
The invention relates to the field of construction risk management and control, in particular to a construction site safety risk management and control method based on BIM and wireless communication technology.
Background
The construction risk management and control is an important measure for realizing safe construction in the construction process, so that a scientific risk management method is adopted in the construction process, and means such as regulations, technologies, organizations and the like are assisted, so that unsafe factors are eliminated and reduced as much as possible, and the whole construction process meets the specified safe production requirement. The key point of modern construction safety supervision is to make prediction and pre-control in the construction process of construction projects, so as to put an end to the construction safety accident in the sprouting state.
With the development of computer technology, BIM technology is also applied to the field of construction safety risk management and control. In the prior art, a BIM model of a construction site is generally built firstly, then, data of the construction site is acquired, the data are imported into the BIM model, then whether the data meet a set safety management and control rule is judged, and early warning prompt is carried out on safety risk factors and dangerous areas which do not meet the safety management and control rule, so that the aim of construction safety risk management and control is achieved.
However, in the prior art, the data is generally transmitted by using a cellular network such as 3G, 4G, 5G, etc., and when the construction site is in suburban area, the signal of the original cellular network is poor, and then the building is blocked, so that the data of the construction site is difficult to transmit into the BIM model.
Disclosure of Invention
The invention aims to disclose a construction site safety risk management and control method based on BIM and wireless communication technology, and solves the problem that in the prior art, when a cellular network is used for data transmission, in remote suburban construction, the data of a construction site cannot be transmitted to a BIM model easily for safety risk monitoring.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the construction site safety risk management and control method based on BIM and wireless communication technology comprises the following steps:
s1, constructing a construction site monitoring terminal, wherein the monitoring terminal comprises a construction site BIM model;
s2, establishing a construction site communication network based on a wireless communication technology;
s3, acquiring monitoring data of a construction site;
s4, transmitting the monitoring data to a construction site monitoring terminal through a communication network, and leading the monitoring data into a BIM model by the construction site monitoring terminal for display;
s5, the construction site monitoring terminal inputs monitoring data into a pre-trained neural network model to judge whether safety risks exist or not;
s6, if the safety risk exists, the construction site monitoring terminal highlights the area corresponding to the safety risk in the construction site BIM model, and sends out a risk prompt according to a set risk prompt mode.
Preferably, the communication network comprises a wireless communication node and a communication base station.
Preferably, the acquiring monitoring data of the construction site includes:
the sensor acquires monitoring data of the construction site,
the sensor transmits the acquired monitoring data to the wireless communication node.
Preferably, the wireless communication node is configured to transmit monitoring data to the communication base station.
Preferably, the communication base station is used for transmitting the monitoring data to a construction site monitoring terminal.
Preferably, the wireless communication node is configured to power the sensor.
Preferably, the communication base station and the construction site monitoring terminal communicate in a wired connection mode.
Preferably, the communication base station is configured to classify the wireless communication nodes into a first class of transit nodes and a second class of transit nodes;
the first type transit node is used for receiving the monitoring data transmitted by the sensor connected with the first type transit node and transmitting the monitoring data to the second type transit node;
the second class of transfer nodes are used for receiving the monitoring data from the first class of transfer nodes and transmitting the monitoring data to the communication base station.
Preferably, the second class of transit nodes are further configured to receive the monitoring data transmitted from the sensor connected to the second class of transit nodes, and transmit the monitoring data to the communication base station.
According to the invention, a local communication network is established on a construction site through the wireless communication nodes and the communication base station, and then the communication network is used for forwarding the monitoring data acquired by the sensor, so that the monitoring data is timely transmitted to the BIM model for risk monitoring in the area with poor communication signals of the cellular network.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a diagram of an exemplary embodiment of a method for managing and controlling security risks in a construction site based on BIM and wireless communication technology according to the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In one embodiment as shown in fig. 1, the present invention provides a construction site security risk management and control method based on BIM and wireless communication technology, including:
s1, constructing a construction site monitoring terminal, wherein the monitoring terminal comprises a construction site BIM model;
s2, establishing a construction site communication network based on a wireless communication technology;
s3, acquiring monitoring data of a construction site;
s4, transmitting the monitoring data to a construction site monitoring terminal through a communication network, and leading the monitoring data into a BIM model by the construction site monitoring terminal for display;
s5, the construction site monitoring terminal inputs monitoring data into a pre-trained neural network model to judge whether safety risks exist or not;
s6, if the safety risk exists, the construction site monitoring terminal highlights the area corresponding to the safety risk in the construction site BIM model, and sends out a risk prompt according to a set risk prompt mode.
Preferably, the communication network comprises a wireless communication node and a communication base station.
According to the invention, a local communication network is established on a construction site through the wireless communication nodes and the communication base station, and then the communication network is used for forwarding the monitoring data acquired by the sensor, so that the monitoring data is timely transmitted to the BIM model for risk monitoring in the area with poor communication signals of the cellular network.
Preferably, the number of wireless communication nodes is plural, and the number of communication base stations is 1.
In other embodiments, the number of communication base stations may be increased as appropriate if the range of the job site is very large.
The construction cost can be effectively reduced by adopting a self-built communication network mode, on one hand, the wireless communication node and the communication base station can be repeatedly utilized, and on the other hand, if a cellular network operator is invited to enhance the signal of the cellular communication network, firstly, the time is probably not enough, and secondly, if a cellular communication function is added to each sensor, the cost of the sensor is very high.
The wireless communication nodes can be arranged at various positions of the construction site in a scattered manner, then the positions of the communication base stations are determined according to the positions of the construction site monitoring terminals, and the communication base stations and the construction site monitoring terminals are as small as possible, so that the length of a cable for communication between the communication base stations and the construction site monitoring terminals is reduced.
The wireless communication node has wireless communication capability and is self-contained. Since the coverage area of the power is limited just at the beginning of the construction site, it is obviously difficult to power up the power supply network for each wireless communication node.
Preferably, the construction site monitoring terminal comprises any one of a notebook computer and a desktop computer.
Preferably, the acquiring monitoring data of the construction site includes:
the sensor acquires monitoring data of the construction site,
the sensor transmits the acquired monitoring data to the wireless communication node.
In particular, the monitoring data may include
The inclination angle of the building component reserves the setting conditions of safety protection facilities such as tunnel portal, elevator shaft portal, building facing side, deformation quantity of foundation pit facing side, vibration frequency and the like, and the wearing conditions of safety protection articles such as safety helmets, safety belts and the like.
Preferably, the wireless communication node is configured to transmit monitoring data to the communication base station.
Preferably, the communication base station is used for transmitting the monitoring data to a construction site monitoring terminal.
Preferably, the wireless communication node is configured to power the sensor.
Specifically, the wireless communication node is in communication connection with the sensor through a serial port.
Preferably, the communication base station and the construction site monitoring terminal communicate in a wired connection mode.
In particular, the wired connection may be an optical fiber communication connection.
Preferably, the communication base station is configured to classify the wireless communication nodes into a first class of transit nodes and a second class of transit nodes;
the first type transit node is used for receiving the monitoring data transmitted by the sensor connected with the first type transit node and transmitting the monitoring data to the second type transit node;
the second class of transfer nodes are used for receiving the monitoring data from the first class of transfer nodes and transmitting the monitoring data to the communication base station.
Specifically, the first class of transit nodes may transmit the monitoring data to the second class of transit nodes closest to itself.
Preferably, the communication base station calculates a holding time length of a result of the classification every time the communication base station classifies the wireless communication nodes, and reclassifies the wireless communication nodes after the holding time length is finished.
Specifically, the classification of the wireless communication nodes is beneficial to balancing the electricity consumption among the wireless communication nodes, and the problem that the wireless communication nodes quickly consume electricity due to long-time functioning as the second class transfer nodes is avoided, so that the wireless communication nodes prematurely exit from working and the coverage range of the field communication network established by the invention is influenced.
Preferably, the communication base station determines the adjacent time interval for classifying the wireless communication node twice in the following manner:
Figure BDA0003710763410000041
wherein, itutim (u+1) and itutim (u) respectively represent the holding time length of the classification result after the u+1th and u-th classification of the wireless communication node, baset represents the set time length, cumtrs (u) represents the number of monitoring data received by the communication base station after the u-th classification of the wireless communication node for a continuous time length itutim (u), and trsthr represents a preset number threshold value.
Specifically, if the value of the time interval (i) is greater than the set maximum value, the result of the time interval (i) is the maximum value, and if the value of the time interval (i) is less than the set minimum value, the result of the time interval (i) is the minimum value.
The classification time interval of the invention is related to the quantity of the monitoring data, and the more the quantity of the monitoring data is in the time range of maintaining the classification result, the more busy the wireless communication node is, so the time interval of the next classification is shortened, thereby ensuring that the electricity consumption among the wireless communication nodes can be balanced in time. Otherwise, the time interval of the next classification is prolonged appropriately.
Preferably, the second class of transit nodes are further configured to receive the monitoring data transmitted from the sensor connected to the second class of transit nodes, and transmit the monitoring data to the communication base station.
Preferably, the classifying the wireless communication nodes, classifying the wireless communication nodes into the first class of transit nodes and the second class of transit nodes, includes:
acquiring a minimum external rectangle of a construction site;
dividing the minimum circumscribed rectangle into a plurality of subareas with equal areas;
respectively acquiring second-class transfer nodes in each sub-area, and storing the acquired second-class transfer nodes into a set U;
carrying out communication connection enhancement processing on the second-class transfer nodes in the U to obtain new second-class transfer nodes, and storing the new second-class transfer nodes into the set U;
and taking the other wireless communication nodes except the wireless communication nodes in the set U as first-class transfer nodes.
The existing classification mode generally adopts a random classification mode, namely each wireless communication node generates a random number, and then the random number is compared with a comparison value to realize the classification of the wireless communication nodes. However, the classification mode does not consider the position relationship between the wireless communication nodes, so that the situation that the second class transit nodes in the partial area are too dense and the second class transit nodes in the partial area are too sparse is easy to occur, so that the balance of the electric quantity consumption between the wireless communication nodes is not realized, the electric quantity consumption speed of the partial wireless communication nodes is increased, and the whole coverage area is influenced. The invention divides the subareas firstly, then calculates each subarea respectively to obtain the second class transfer node, which can well solve the problems in the prior art.
Preferably, for the sub-region sblk, the second class transit nodes in sblk are obtained as follows:
calculating communication efficiency parameters of each wireless communication node in the sblk respectively;
selecting a set S of candidate second-class transfer nodes based on the communication efficiency parameter;
respectively calculating a distance adaptation value of each wireless communication node in the set S;
and taking the wireless communication node with the largest distance adaptation value in the set S as a second class transit node in the sblk.
When the second class of transfer nodes are selected, the method does not calculate a certain parameter at a time to select, and therefore the calculated amount of data is too large, which is unfavorable for obtaining a result quickly. The method comprises the steps of calculating communication efficiency parameters, selecting candidate second-class transfer nodes, further calculating the candidate second-class transfer nodes with small quantity, and obtaining the final second-class transfer node according to the distance adaptation value, so that the selection efficiency of the second-class transfer nodes is effectively improved.
Preferably, the communication efficiency parameter is calculated by the following formula:
Figure BDA0003710763410000061
where coefpa(s) represents a communication efficiency parameter of the wireless communication node s, w 1 、w 2 、w 3 Representing a preset weight parameter, condst representing a preset neighborhood criterion distance reference value, setR representing a set of all wireless communication nodes within a communication radius of s, nsetR representing a number of wireless communication nodes contained in setR, cond s,d Representing transmission power for single-hop communication between the wireless communication node s and the wireless communication node d in setR, and sonst representing maximum distance between the communication base station and all the wireless communication nodes, sonsd s Indicating the length of a line of connection between a wireless communication node s and a communication base station, eleclft s Representing the current power percentage of the wireless communication node s, elecful represents the maximum power percentage of the wireless communication node s.
When the communication efficiency parameter is calculated, the calculation is performed from the average transmission power with other wireless communication nodes, the length of a straight line between the wireless communication node and the communication base station, and the electric quantity, so that the wireless communication node which has small average transmission power with other wireless communication nodes, is close to the communication base station and has large residual electric quantity can be selected as the candidate second class transfer node.
Preferably, selecting the set S of candidate second class transit nodes based on the communication efficiency parameter includes:
sequencing from high to low according to the communication efficiency parameters;
and taking the wireless communication nodes with the communication efficiency parameters arranged in the first 10 bits in the sblk as candidate second class transfer nodes, and storing the second class transfer nodes into the set S.
Preferably, the distance adaptation value is calculated by the following formula:
Figure BDA0003710763410000062
wherein, the distbits (g) represents the distance adaptation value of the candidate second class transit node g, coefpa (g) represents the communication efficiency parameter of the candidate second class transit node g, delta represents the proportion parameter, delta epsilon (0, 0.5), seU represents the selected set of the second class transit nodes, sonsd g,h Representing the distance between the candidate second-class transit node g and the second-class transit node h in seU, nseU represents the number of second-class transit nodes in seU, sonrdr represents a preset average distance reference value.
The calculation of the distance adaptation value mainly considers the average distance between the candidate second class transfer node and the existing second class transfer node, and the smaller the average distance is, the smaller the electric quantity consumption of the candidate second class transfer node when forwarding data after formally functioning as the second class transfer node is indicated.
Preferably, the performing communication connection enhancement processing on the second class of transit nodes in the U to obtain new second class of transit nodes includes:
judging whether the senode can communicate with other second-class transfer nodes in the U in a one-hop communication mode or not for the second-class transfer nodes senode in the U, and if not, acquiring a second-class transfer node thrnod closest to the senode in the U;
acquiring a wireless communication node fornode closest to a linear connection between senode and thornode;
and storing the fornode as a new second class transit node into the U.
Specifically, the connection enhancement processing is performed to present a situation that the second-class relay node cannot directly communicate with another second-class wireless relay node, because the transmission efficiency of the monitoring data is affected in this way, a new second-class relay node is found near the straight line connection, and the occurrence of such a situation can be effectively avoided.
Preferably, the communication between the second class of transit nodes and the communication base station is performed in the following manner:
the maximum communication distance of the second class of transfer nodes is recorded as maxR;
if the distance between the second-class transfer node and the communication base station is larger than maxR, transmitting the monitoring data to another second-class transfer node closest to the communication base station in the communication range of the second-class transfer node through the second-class transfer node;
if the distance between the second class transfer node and the communication base station is less than or equal to maxR, the second class transfer node is communicated with the communication base station by the following modes:
and the second class of transfer nodes judge whether the distance between the second class of transfer nodes and the communication base station is smaller than the self-adaptive distance threshold value of the communication base station, if so, the monitoring data are directly sent to the communication base station, and if not, the monitoring data are transmitted to another second class of transfer nodes closest to the communication base station in the communication range of the second class of transfer nodes.
The closer to the communication base station, the larger the data forwarding amount which needs to be loaded, so the invention divides the communication between the second class transfer node and the communication base station into two cases through the maximum communication distance, and the second class transfer node with the distance larger than maxR can obviously communicate with the communication base station only by utilizing a multi-hop mode. And the second class of transfer nodes with the distance smaller than maxR select a communication mode according to the self-adaptive distance threshold value, so that the second class of transfer nodes with the distance smaller than maxR can be prevented from fixedly communicating with the communication base station in a single-hop mode, and the electric quantity is excessively consumed.
Preferably, the adaptive distance threshold is calculated by the following formula:
adpdisthr=maxR-t×unidist
in the formula, adpdisthr represents an adaptive distance threshold value, unidist represents a unit length, and t is a time length for which a classification result is maintained after classifying the wireless communication node.
In the invention, the self-adaptive distance threshold value gradually reduces along with the increase of time, so that more and more second-class transfer nodes communicate with the communication base station in an indirect communication mode, thereby realizing the electric quantity balance of the second-class transfer nodes with the distance smaller than maxR.
Preferably, inputting the monitoring data into the pre-trained neural network model to determine whether a security risk exists includes:
the neural network model is trained by monitoring data corresponding to various security risks in advance as a training set, and whether the security risks exist and the types of the security risks can be identified when the trained neural network model encounters the same monitoring data.
Preferably, issuing a risk prompt according to a set risk prompt mode includes:
and the warning sound is played, and a warning window is popped up at the monitoring terminal of the construction site to give a prompt.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware.
When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

Claims (7)

1. The construction site safety risk management and control method based on BIM and wireless communication technology is characterized by comprising the following steps:
s1, constructing a construction site monitoring terminal, wherein the monitoring terminal comprises a construction site BIM model;
s2, establishing a construction site communication network based on a wireless communication technology;
s3, acquiring monitoring data of a construction site;
s4, transmitting the monitoring data to a construction site monitoring terminal through a communication network, and leading the monitoring data into a BIM model by the construction site monitoring terminal for display;
s5, the construction site monitoring terminal inputs monitoring data into a pre-trained neural network model to judge whether safety risks exist or not;
s6, if the safety risk exists, the construction site monitoring terminal highlights the area corresponding to the safety risk in a construction site BIM model, and sends out a risk prompt according to a set risk prompt mode;
the communication network comprises a wireless communication node and a communication base station;
the communication base station is used for classifying the wireless communication nodes and dividing the wireless communication nodes into a first class of transfer nodes and a second class of transfer nodes;
the first type transit node is used for receiving the monitoring data transmitted by the sensor connected with the first type transit node and transmitting the monitoring data to the second type transit node;
the second class transfer node is used for receiving the monitoring data from the first class transfer node and transmitting the monitoring data to the communication base station;
the communication base station determines adjacent time intervals for classifying the wireless communication nodes twice in the following manner:
Figure FDA0004122686990000011
wherein, the itutim (u+1) and the itutim (u) respectively represent the holding time length of the classification result after the u+1th time and the u time classify the wireless communication node, the baset represents the set time length, the curtrs (u) represents the number of the monitoring data received by the communication base station after the u time classifies the wireless communication node, the continuous time length itutim (u) represents the preset number threshold value;
if the ituim (u) +baset is greater than the set time interval maximum, the result of the ituim (u+1) is the time interval maximum, and if the ituim (u) -baset is less than the set time interval minimum, the result of the ituim (u+1) is the time interval minimum;
the classifying the wireless communication nodes into a first class of transit nodes and a second class of transit nodes includes:
acquiring a minimum external rectangle of a construction site;
dividing the minimum circumscribed rectangle into a plurality of subareas with equal areas;
respectively acquiring second-class transfer nodes in each sub-area, and storing the acquired second-class transfer nodes into a set U;
carrying out communication connection enhancement processing on the second-class transfer nodes in the U to obtain new second-class transfer nodes, and storing the new second-class transfer nodes into the set U;
and taking the other wireless communication nodes except the wireless communication nodes in the set U as first-class transfer nodes.
2. The method for managing and controlling the security risk of a construction site based on the BIM and the wireless communication technology according to claim 1, wherein the step of obtaining the monitoring data of the construction site includes:
the sensor acquires monitoring data of the construction site,
the sensor transmits the acquired monitoring data to the wireless communication node.
3. The method of claim 2, wherein the wireless communication node is configured to transmit monitoring data to the communication base station.
4. The method for managing and controlling the safety risk of a construction site based on the BIM and the wireless communication technology according to claim 3, wherein the communication base station is used for transmitting the monitoring data to a monitoring terminal of the construction site.
5. The method of claim 2, wherein the wireless communication node is configured to power the sensor.
6. The construction site safety risk management and control method based on the BIM and wireless communication technology according to claim 1, wherein the communication base station and the construction site monitoring terminal communicate in a wired connection mode.
7. The method for managing and controlling the security risk of construction sites based on the BIM and the wireless communication technology according to claim 1, wherein the second class of transit nodes are further configured to receive the monitoring data transmitted from the sensor connected to the second class of transit nodes, and transmit the monitoring data to the communication base station.
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