CN117495111B - Building engineering safety management system based on BIM technology - Google Patents

Building engineering safety management system based on BIM technology Download PDF

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CN117495111B
CN117495111B CN202311849975.7A CN202311849975A CN117495111B CN 117495111 B CN117495111 B CN 117495111B CN 202311849975 A CN202311849975 A CN 202311849975A CN 117495111 B CN117495111 B CN 117495111B
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CN117495111A (en
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古习斌
黄皓
邓瑶瑜
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Heyuan City Weikai Huangtu Technology Co ltd
Guangzhou Jiapin Electronic Technology Co ltd
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Guangzhou Jiapin Electronic Technology Co ltd
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Abstract

The invention belongs to the field of building engineering safety monitoring, relates to a data analysis technology, and is used for solving the problem that a building engineering safety management system in the prior art cannot carry out risk analysis on building engineering construction in each link, in particular to a building engineering safety management system based on a BIM technology, which comprises a safety management platform, wherein the safety management platform is in communication connection with a settlement monitoring module, a collapse monitoring module, a risk avoidance analysis module and a storage module; the settlement monitoring module is used for performing settlement monitoring analysis on the building: marking a construction building of the building engineering as a monitoring object, and performing sedimentation analysis on the monitoring object before the construction task of each construction day starts; the settlement monitoring and analyzing device can be used for carrying out settlement monitoring and analyzing on the buildings, collecting and analyzing the settlement parameters of each construction building before the construction task on the construction day is started to obtain the settlement coefficients, and then feeding back the settlement state of the construction building through the settlement coefficients.

Description

Building engineering safety management system based on BIM technology
Technical Field
The invention belongs to the field of building engineering safety monitoring, relates to a data analysis technology, and in particular relates to a building engineering safety management system based on a BIM technology.
Background
The building engineering safety management system in the prior art cannot perform risk analysis on each link for building engineering construction, so that a certain risk exists in the building engineering construction process, and meanwhile, when a plurality of potential safety hazards appear in the building engineering at the same time, the risk data and the accident influence data cannot be combined to perform scientific and reasonable allocation of rescue resources.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a building engineering safety management system based on BIM technology, which is used for solving the problem that the building engineering safety management system in the prior art cannot analyze risks for building engineering construction in each link;
the technical problems to be solved by the invention are as follows: how to provide a building engineering safety management system based on BIM technology, which can perform risk analysis for building engineering construction in each link.
The aim of the invention can be achieved by the following technical scheme:
the building engineering safety management system based on the BIM technology comprises a safety management platform, wherein the safety management platform is in communication connection with a settlement monitoring module, a collapse monitoring module, a risk avoiding analysis module and a storage module;
the settlement monitoring module is used for performing settlement monitoring analysis on the building: marking a construction building of a building project as a monitoring object, performing sedimentation analysis on the monitoring object before the construction task of each construction day starts, and obtaining a sedimentation coefficient CJ of the monitoring object; judging whether the sedimentation state of the monitored object meets the requirement or not through the sedimentation coefficient CJ;
the collapse monitoring module is used for carrying out collapse monitoring analysis on the building: marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring periods, performing numerical calculation to obtain a collapse coefficient TT, and marking the monitoring object as a safety object or a risk object through the collapse coefficient TT; acquiring the number of risk objects at the end time of the monitoring period, marking the number as a risk value, and judging the necessity of risk avoidance analysis through the value of the risk value;
the risk avoiding analysis module is used for carrying out risk avoiding analysis on the building engineering.
As a preferred embodiment of the present invention, the process for obtaining the sedimentation coefficient CJ of the monitoring object includes: setting a plurality of settlement monitoring points on the foundation of the monitored object, measuring elevation values of the settlement monitoring points and the foundation points by using a level gauge, wherein the settlement monitoring points correspond to the foundation points one by one, marking absolute values of differences between the elevation values of the settlement monitoring points and the elevation values of settlement analysis carried out on the previous construction day as high difference values of the monitoring points, summing up the high difference values of all the settlement monitoring points, taking an average value to obtain height difference data GC of the monitored object, and carrying out variance calculation on the high difference values of all the settlement monitoring points to obtain uniform data JY of the monitored object.
As a preferred embodiment of the present invention, the specific process for determining whether the sedimentation state of the monitoring object satisfies the requirement includes: and obtaining a sedimentation threshold CJMax through a storage module, and comparing the sedimentation coefficient CJ with the sedimentation threshold CJMax: if the sedimentation coefficient CJ is smaller than the sedimentation threshold CJMax, judging that the sedimentation state of the monitoring object meets the requirement, generating a construction signal and sending the construction signal to a safety management platform, and sending the construction signal to a mobile phone terminal of a manager after the safety management platform receives the construction signal; if the sedimentation coefficient CJ is greater than or equal to the sedimentation threshold CJMax, the sedimentation state of the monitoring object is judged to be not satisfied, a processing signal is generated and sent to a safety management platform, and the safety management platform receives the processing signal and then sends the processing signal to a mobile phone terminal of a manager.
As a preferred embodiment of the present invention, the vertical load data CZ is the maximum value of the vertical load value of the monitored object in the monitoring period, the vertical load value is the sum of the static load value and the dynamic load value of the monitored object, the static load value is the dead weight of the monitored object, and the dynamic load value is the sum of the weight values of constructors and construction equipment on the monitored object; the horizontal load data SP is the maximum value of the horizontal load value of the monitored object in the monitoring period, and the horizontal load value is the sum value of the wind power grade and the rainfall grade; the surface data BM is the number of cracks on the surface of the foundation of the monitoring object.
As a preferred embodiment of the present invention, the specific process of marking the monitoring object as a safe object or a risk object includes: the collapse threshold TTmax is obtained through the storage module, and the collapse coefficient TT of the monitored object in the monitoring period is compared with the collapse threshold TTmax: if the collapse coefficient TT is smaller than the collapse threshold TTmax, judging that the monitored object does not have collapse risk in the monitoring period, and marking the corresponding monitored object as a safe object; if the collapse coefficient TT is greater than or equal to the collapse threshold TTmax, judging that the monitored object has collapse risk in the monitoring period, and marking the corresponding monitored object as a risk object.
As a preferred embodiment of the present invention, the specific process for determining the necessity of risk avoidance analysis includes: when the risk value is zero, generating a construction safety signal and sending the construction safety signal to a safety management platform, and after receiving the construction safety signal, the safety management platform sends the construction safety signal to a mobile phone terminal of a manager; the risk value is one, a risk avoiding signal is generated, and the risk object and the risk avoiding signal are sent to a mobile phone terminal of a manager through a safety management platform; when the risk value is greater than one, generating a risk avoidance analysis signal and sending the risk avoidance analysis signal to a safety management platform, and sending the risk avoidance analysis signal to a risk avoidance analysis module after the safety management platform receives the risk avoidance analysis signal.
As a preferred embodiment of the present invention, the risk avoidance analysis module performs risk avoidance analysis on the construction engineering: arranging the risk objects according to the sequence of the collapse coefficient TT from large to small to obtain a collapse sequence, arranging the risk objects according to the sequence of the number of constructors from large to small to obtain a construction sequence, marking the absolute value of the difference value between the sequence number of the risk objects in the collapse sequence and the sequence number in the construction sequence as a risk avoiding value of the risk objects, summing the risk avoiding values of all the risk objects, averaging to obtain a risk avoiding coefficient, acquiring a risk avoiding threshold value through a storage module, and comparing the risk avoiding coefficient with the risk avoiding threshold value: if the risk avoidance coefficient is smaller than the risk avoidance threshold, marking the construction sequence as a rescue sequence; if the risk avoiding coefficient is greater than or equal to the risk avoiding threshold value, marking the collapse sequence as a rescue sequence; and sending the rescue sequence to a safety management platform, and sending the rescue sequence to a mobile phone terminal of a manager after the safety management platform receives the rescue sequence.
As a preferred embodiment of the invention, the working method of the building engineering safety management system based on BIM technology comprises the following steps:
step one: and carrying out settlement monitoring analysis on the building: marking a construction building of a building project as a monitoring object, carrying out sedimentation analysis on the monitoring object before the construction task of each construction day starts, obtaining a sedimentation coefficient CJ of the monitoring object, and judging whether the sedimentation state of the monitoring object meets the requirement or not through the sedimentation coefficient CJ;
step two: collapse monitoring analysis is carried out on the building: marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring periods, performing numerical calculation to obtain a collapse coefficient TT, marking the monitoring object as a safe object or a risk object through the collapse coefficient TT, and executing the third step when the number of the risk objects is larger than one;
step three: carrying out risk avoidance analysis on the building engineering, obtaining a collapse sequence and a construction sequence, marking the absolute value of the difference value between the serial numbers of the risk objects in the collapse sequence and the serial numbers of the construction sequence as risk avoidance values of the risk objects, summing the risk avoidance values of all the risk objects, averaging to obtain risk avoidance coefficients, and marking the rescue sequence through the risk avoidance coefficients.
The invention has the following beneficial effects:
the settlement monitoring module can be used for carrying out settlement monitoring analysis on the buildings, the settlement parameters of each construction building are collected and analyzed to obtain the settlement coefficients before the construction task on the construction day begins, then the settlement states of the construction buildings are fed back through the settlement coefficients, early warning is timely carried out when the construction buildings have construction risks, and the construction safety of the construction engineering is improved;
the collapse monitoring module is used for monitoring and analyzing collapse of the building, acquiring a plurality of collapse influence parameters of the construction building in a monitoring period, analyzing and calculating to obtain a collapse coefficient, evaluating collapse risk of the construction building according to the collapse coefficient, judging risk avoidance analysis necessity according to an evaluation result, and carrying out rescue resource allocation analysis when collapse risks of a plurality of construction buildings occur;
the risk avoidance analysis module can be used for carrying out risk avoidance analysis on the building engineering, objective collapse probability of the monitored objects and estimated influence degree of collapse accidents are comprehensively analyzed to obtain risk avoidance coefficients, rescue priorities of all risk objects are marked through the risk avoidance coefficients, and the accident influence is minimized when collapse risks exist in a plurality of construction buildings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the building engineering safety management system based on the BIM technology comprises a safety management platform, wherein the safety management platform is in communication connection with a settlement monitoring module, a collapse monitoring module, a risk avoiding analysis module and a storage module.
The settlement monitoring module is used for performing settlement monitoring analysis on the building: marking a construction building of a building engineering as a monitoring object, and carrying out sedimentation analysis on the monitoring object before the construction task of each construction day starts: setting a plurality of settlement monitoring points on a foundation of a monitored object, measuring elevation values of the settlement monitoring points and the foundation points by using a level gauge, wherein the settlement monitoring points correspond to the foundation points one by one, marking absolute values of differences between the elevation values of the settlement monitoring points and the elevation values of settlement analysis carried out on the previous construction day as high difference values of the monitoring points, summing up the high difference values of all the settlement monitoring points, taking an average value to obtain high difference data GC of the monitored object, and carrying out variance calculation on the high difference values of all the settlement monitoring points to obtain uniform data JY of the monitored object; obtaining a sedimentation coefficient CJ of the monitored object through a formula CJ=α1xGC+α2xJY, wherein α1 and α2 are proportionality coefficients, and α1 > α2 > 1; and obtaining a sedimentation threshold CJMax through a storage module, and comparing the sedimentation coefficient CJ with the sedimentation threshold CJMax: if the sedimentation coefficient CJ is smaller than the sedimentation threshold CJMax, judging that the sedimentation state of the monitoring object meets the requirement, generating a construction signal and sending the construction signal to a safety management platform, and sending the construction signal to a mobile phone terminal of a manager after the safety management platform receives the construction signal; if the sedimentation coefficient CJ is greater than or equal to a sedimentation threshold CJMax, judging that the sedimentation state of the monitoring object does not meet the requirement, generating a processing signal and sending the processing signal to a safety management platform, and sending the processing signal to a mobile phone terminal of a manager after the safety management platform receives the processing signal; the settlement monitoring analysis is carried out on the buildings, the settlement parameters of each construction building are collected and analyzed to obtain the settlement coefficients before the construction task on the construction day begins, then the settlement states of the construction buildings are fed back through the settlement coefficients, early warning is timely carried out when the construction buildings have construction risks, and the construction safety of the construction engineering is improved.
The collapse monitoring module is used for carrying out collapse monitoring analysis on the building: marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, and acquiring vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring period, wherein the vertical load data CZ is the maximum value of the vertical load value of the monitoring object in the monitoring period, the vertical load value is the sum value of the static load value and the dynamic load value of the monitoring object, the static load value is the dead weight of the monitoring object, and the dynamic load value is the sum value of the weight values of constructors and construction equipment on the monitoring object; the horizontal load data SP is the maximum value of the horizontal load value of the monitored object in the monitoring period, and the horizontal load value is the sum value of the wind power grade and the rainfall grade; the surface data BM is the number of cracks on the surface of the foundation of the monitored object; obtaining a collapse coefficient TT of the monitored object in a monitoring period through a formula TT=β1×CZ+β2×SP+β3×LW, wherein β1, β2 and β3 are all proportional coefficients, and β3 > β2 > β1 > 1; the collapse threshold TTmax is obtained through the storage module, and the collapse coefficient TT of the monitored object in the monitoring period is compared with the collapse threshold TTmax: if the collapse coefficient TT is smaller than the collapse threshold TTmax, judging that the monitored object does not have collapse risk in the monitoring period, and marking the corresponding monitored object as a safe object; if the collapse coefficient TT is greater than or equal to the collapse threshold TTmax, judging that the monitored object has collapse risk in the monitoring period, and marking the corresponding monitored object as a risk object; acquiring the number of risk objects at the end time of the monitoring period, marking the number as a risk value, generating a construction safety signal when the risk value is zero, and sending the construction safety signal to a safety management platform, wherein the safety management platform sends the construction safety signal to a mobile phone terminal of a manager after receiving the construction safety signal; the risk value is one, a risk avoiding signal is generated, and the risk object and the risk avoiding signal are sent to a mobile phone terminal of a manager through a safety management platform; when the risk value is greater than one, generating a risk avoidance analysis signal and sending the risk avoidance analysis signal to a safety management platform, and sending the risk avoidance analysis signal to a risk avoidance analysis module after the safety management platform receives the risk avoidance analysis signal; the construction building collapse monitoring analysis is carried out, a plurality of collapse influence parameters of the construction building are obtained in a monitoring period, collapse coefficients are obtained through analysis and calculation, collapse risks of the construction building are evaluated through the collapse coefficients, risk avoidance analysis necessity is judged according to evaluation results, and rescue resource allocation analysis is carried out when collapse risks of a plurality of construction buildings occur.
The risk avoiding analysis module is used for carrying out risk avoiding analysis on the building engineering: arranging the risk objects according to the sequence of the collapse coefficient TT from large to small to obtain a collapse sequence, arranging the risk objects according to the sequence of the number of constructors from large to small to obtain a construction sequence, marking the absolute value of the difference value between the sequence number of the risk objects in the collapse sequence and the sequence number in the construction sequence as a risk avoiding value of the risk objects, summing the risk avoiding values of all the risk objects, averaging to obtain a risk avoiding coefficient, acquiring a risk avoiding threshold value through a storage module, and comparing the risk avoiding coefficient with the risk avoiding threshold value: if the risk avoidance coefficient is smaller than the risk avoidance threshold, marking the construction sequence as a rescue sequence; if the risk avoiding coefficient is greater than or equal to the risk avoiding threshold value, marking the collapse sequence as a rescue sequence; the rescue sequence is sent to a safety management platform, and the safety management platform sends the rescue sequence to a mobile phone terminal of a manager after receiving the rescue sequence; and carrying out risk avoidance analysis on the building engineering, comprehensively analyzing the objective collapse probability of the monitored objects and the estimated influence degree of collapse accidents to obtain risk avoidance coefficients, marking the rescue priority of all risk objects through the risk avoidance coefficients, and minimizing the accident influence when collapse risks exist in a plurality of construction buildings.
Embodiment two: as shown in fig. 2, a building engineering safety management method based on the BIM technology includes the following steps:
step one: and carrying out settlement monitoring analysis on the building: marking a construction building of a building project as a monitoring object, carrying out sedimentation analysis on the monitoring object before the construction task of each construction day starts, obtaining a sedimentation coefficient CJ of the monitoring object, and judging whether the sedimentation state of the monitoring object meets the requirement or not through the sedimentation coefficient CJ;
step two: collapse monitoring analysis is carried out on the building: marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring periods, performing numerical calculation to obtain a collapse coefficient TT, marking the monitoring object as a safe object or a risk object through the collapse coefficient TT, and executing the third step when the number of the risk objects is larger than one;
step three: carrying out risk avoidance analysis on the building engineering, obtaining a collapse sequence and a construction sequence, marking the absolute value of the difference value between the serial numbers of the risk objects in the collapse sequence and the serial numbers of the construction sequence as risk avoidance values of the risk objects, summing the risk avoidance values of all the risk objects, averaging to obtain risk avoidance coefficients, and marking the rescue sequence through the risk avoidance coefficients.
When the building engineering safety management system based on the BIM technology works, the construction building of the building engineering is marked as a monitoring object, sedimentation analysis is carried out on the monitoring object before the construction task of each construction day is started, a sedimentation coefficient CJ of the monitoring object is obtained, and whether the sedimentation state of the monitoring object meets the requirement is judged through the sedimentation coefficient CJ; marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, obtaining vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring period, carrying out numerical calculation to obtain a collapse coefficient TT, marking the monitoring object as a safe object or a risk object through the collapse coefficient TT, carrying out risk avoidance analysis on the building engineering when the number of the risk objects is larger than one, obtaining a collapse sequence and a construction sequence, marking the absolute value of the difference value between the serial number of the risk object in the collapse sequence and the serial number in the construction sequence as a risk avoidance value of the risk object, summing the risk avoidance values of all the risk objects, taking an average value to obtain a risk avoidance coefficient, and marking the rescue sequence through the risk avoidance coefficient.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula cj=α1gc+α2jy; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding sedimentation coefficient for each group of sample data; substituting the set sedimentation coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1 and alpha 2 which are respectively 2.35 and 1.68;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding sedimentation coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the sedimentation coefficient is directly proportional to the value of the high-difference data.
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 invention. 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 invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention 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 invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (2)

1. The building engineering safety management system based on the BIM technology is characterized by comprising a safety management platform, wherein the safety management platform is in communication connection with a settlement monitoring module, a collapse monitoring module, a risk avoidance analysis module and a storage module;
the settlement monitoring module is used for performing settlement monitoring analysis on the building: marking a construction building of a building project as a monitoring object, performing sedimentation analysis on the monitoring object before the construction task of each construction day starts, and obtaining a sedimentation coefficient CJ of the monitoring object; judging whether the sedimentation state of the monitored object meets the requirement or not through the sedimentation coefficient CJ;
the collapse monitoring module is used for carrying out collapse monitoring analysis on the building: marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring periods, performing numerical calculation to obtain a collapse coefficient TT, and marking the monitoring object as a safety object or a risk object through the collapse coefficient TT; acquiring the number of risk objects at the end time of the monitoring period, marking the number as a risk value, and judging the necessity of risk avoidance analysis through the value of the risk value;
the risk avoiding analysis module is used for carrying out risk avoiding analysis on the building engineering;
the acquisition process of the sedimentation coefficient CJ of the monitoring object comprises the following steps: setting a plurality of settlement monitoring points on a foundation of a monitored object, measuring elevation values of the settlement monitoring points and the foundation points by using a level gauge, wherein the settlement monitoring points correspond to the foundation points one by one, marking absolute values of differences between the elevation values of the settlement monitoring points and the elevation values of settlement analysis carried out on the previous construction day as high difference values of the monitoring points, summing up the high difference values of all the settlement monitoring points, taking an average value to obtain high difference data GC of the monitored object, and carrying out variance calculation on the high difference values of all the settlement monitoring points to obtain uniform data JY of the monitored object;
the specific process for judging whether the sedimentation state of the monitored object meets the requirement comprises the following steps: and obtaining a sedimentation threshold CJMax through a storage module, and comparing the sedimentation coefficient CJ with the sedimentation threshold CJMax: if the sedimentation coefficient CJ is smaller than the sedimentation threshold CJMax, judging that the sedimentation state of the monitoring object meets the requirement, generating a construction signal and sending the construction signal to a safety management platform, and sending the construction signal to a mobile phone terminal of a manager after the safety management platform receives the construction signal; if the sedimentation coefficient CJ is greater than or equal to a sedimentation threshold CJMax, judging that the sedimentation state of the monitoring object does not meet the requirement, generating a processing signal and sending the processing signal to a safety management platform, and sending the processing signal to a mobile phone terminal of a manager after the safety management platform receives the processing signal;
the vertical load data CZ is the maximum value of the vertical load value of the monitoring object in the monitoring period, the vertical load value is the sum value of the static load value and the dynamic load value of the monitoring object, the static load value is the dead weight of the monitoring object, and the dynamic load value is the sum value of the weight values of constructors and construction equipment on the monitoring object; the horizontal load data SP is the maximum value of the horizontal load value of the monitored object in the monitoring period, and the horizontal load value is the sum value of the wind power grade and the rainfall grade; the surface data BM is the number of cracks on the surface of the foundation of the monitored object;
the specific process of marking the monitoring object as a safe object or a risk object comprises the following steps: the collapse threshold TTmax is obtained through the storage module, and the collapse coefficient TT of the monitored object in the monitoring period is compared with the collapse threshold TTmax: if the collapse coefficient TT is smaller than the collapse threshold TTmax, judging that the monitored object does not have collapse risk in the monitoring period, and marking the corresponding monitored object as a safe object; if the collapse coefficient TT is greater than or equal to the collapse threshold TTmax, judging that the monitored object has collapse risk in the monitoring period, and marking the corresponding monitored object as a risk object;
the specific process for judging the necessity of risk avoidance analysis comprises the following steps: when the risk value is zero, generating a construction safety signal and sending the construction safety signal to a safety management platform, and after receiving the construction safety signal, the safety management platform sends the construction safety signal to a mobile phone terminal of a manager; the risk value is one, a risk avoiding signal is generated, and the risk object and the risk avoiding signal are sent to a mobile phone terminal of a manager through a safety management platform; when the risk value is greater than one, generating a risk avoidance analysis signal and sending the risk avoidance analysis signal to a safety management platform, and sending the risk avoidance analysis signal to a risk avoidance analysis module after the safety management platform receives the risk avoidance analysis signal;
the risk avoiding analysis module carries out risk avoiding analysis on the building engineering: arranging the risk objects according to the sequence of the collapse coefficient TT from large to small to obtain a collapse sequence, arranging the risk objects according to the sequence of the number of constructors from large to small to obtain a construction sequence, marking the absolute value of the difference value between the sequence number of the risk objects in the collapse sequence and the sequence number in the construction sequence as a risk avoiding value of the risk objects, summing the risk avoiding values of all the risk objects, averaging to obtain a risk avoiding coefficient, acquiring a risk avoiding threshold value through a storage module, and comparing the risk avoiding coefficient with the risk avoiding threshold value: if the risk avoidance coefficient is smaller than the risk avoidance threshold, marking the construction sequence as a rescue sequence; if the risk avoiding coefficient is greater than or equal to the risk avoiding threshold value, marking the collapse sequence as a rescue sequence; and sending the rescue sequence to a safety management platform, and sending the rescue sequence to a mobile phone terminal of a manager after the safety management platform receives the rescue sequence.
2. The building engineering safety management system based on the BIM technology according to claim 1, wherein the working method of the building engineering safety management system based on the BIM technology comprises the following steps:
step one: and carrying out settlement monitoring analysis on the building: marking a construction building of a building project as a monitoring object, carrying out sedimentation analysis on the monitoring object before the construction task of each construction day starts, obtaining a sedimentation coefficient CJ of the monitoring object, and judging whether the sedimentation state of the monitoring object meets the requirement or not through the sedimentation coefficient CJ;
step two: collapse monitoring analysis is carried out on the building: marking the construction time of a monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring vertical load data CZ, horizontal load data SP and surface data BM of the monitoring object in the monitoring periods, performing numerical calculation to obtain a collapse coefficient TT, marking the monitoring object as a safe object or a risk object through the collapse coefficient TT, and executing the third step when the number of the risk objects is larger than one;
step three: carrying out risk avoidance analysis on the building engineering, obtaining a collapse sequence and a construction sequence, marking the absolute value of the difference value between the serial numbers of the risk objects in the collapse sequence and the serial numbers of the construction sequence as risk avoidance values of the risk objects, summing the risk avoidance values of all the risk objects, averaging to obtain risk avoidance coefficients, and marking the rescue sequence through the risk avoidance coefficients.
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