Engineering construction safety monitoring simulation optimization management method and system based on Internet of Things

Abstract

The present invention discloses a simulation optimization management method for engineering construction safety monitoring based on the Internet of Things, including determining serial simulation tasks and simulating in sequence, if it is found that the simulation results of a construction link do not meet the preset conditions, terminating the simulation task, marking the link as an abnormal link, respectively determining the construction risk value of the abnormal link and its preceding construction link, calculating the construction risk contribution value of the preceding construction link to the abnormal link, and judging whether it is greater than a preset threshold; if so, optimizing the construction plan of the preceding construction link; if not, optimizing the construction plan of the abnormal link; after optimization, updating the serial simulation task as a whole, resuming simulation from the current link to the subsequent construction link, until the simulation results of all construction links meet the preset conditions, updating the initial planning scheme to obtain the target planning scheme. The present invention takes into account the risk association of different construction links, improves the simulation efficiency, and ensures the accuracy of the construction planning scheme after optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of construction simulation monitoring, and in particular to an engineering construction safety monitoring simulation optimization management method and system based on the Internet of Things. Background Art

[0002] Safety management and risk assessment are very important links in the construction process. Traditional construction safety management mainly relies on manual experience and post-inspection by technicians, which has certain limitations. With the advancement of Internet of Things technology, more and more research tends to use advanced information technology to improve the safety and efficiency of the construction process.

[0003] However, there are still some problems with the existing IoT-based construction safety monitoring systems: for example, most existing construction safety monitoring systems focus on real-time monitoring and alarm functions, lack the ability to conduct refined risk assessment and prediction of construction links, and are difficult to detect potential safety hazards in advance. In addition, traditional methods often take remedial measures after problems occur, but cannot effectively predict problems that may arise during the construction process, making the optimization of construction plans difficult and inefficient. Although some systems use simulation technology, the correlation and mutual influence between construction links are not fully considered, making the simulation results inaccurate and unable to effectively guide the optimization of construction plans. Summary of the invention

[0004] In order to solve at least one of the technical problems mentioned above, the present invention provides an engineering construction safety monitoring simulation optimization management method and system based on the Internet of Things.

[0005] In a first aspect, the present invention provides a method for engineering construction safety monitoring simulation optimization management based on the Internet of Things, the method comprising:

[0006] Step S10: determining an initial planning scheme for project construction based on the BIM model of the construction project, and determining serial simulation tasks according to the initial planning scheme; wherein the initial planning scheme includes the execution sequence of each construction link and the construction scheme;

[0007] Step S20, simulating the serial simulation tasks in sequence, and when it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, terminating the serial simulation task, marking the corresponding construction link as a serial abnormal construction link, and obtaining a first construction risk value of the serial abnormal construction link;

[0008] Step S30, separately simulating the preceding construction link of the serial abnormal construction link to obtain a second construction risk value of the preceding construction link; determining the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value;

[0009] Step S40, determine whether the construction risk contribution value is greater than a preset threshold; if so, optimize the construction plan of the previous construction link; if not, optimize the construction plan of the serial abnormal construction link;

[0010] Step S50, update the serial simulation task based on the optimized construction plan, and return to execute steps S20-S40 until the simulation results of all construction links meet the preset conditions, and generate the first target planning plan.

[0011] Preferably, the step of obtaining the first construction risk value of the serial abnormal construction link includes:

[0012] Calculate the personnel allocation risk, resource allocation risk and environmental risk respectively, and calculate the first construction risk value according to the personnel allocation risk, resource allocation risk and environmental risk:

[0013] ;

[0014] ;

[0015] In the formula, Represents risk assessment indicators, satisfying hour, They correspond to personnel allocation risk, resource allocation risk and environmental risk respectively; , Respectively represent Extraction parameters and weight factors of risk assessment indicators; represents the first construction risk value, represents the variable curvature that satisfies the Gaussian function, is a natural constant.

[0016] Preferably, calculating the staffing risk includes:

[0017] The experience level of construction personnel and the complexity of construction tasks are graded to obtain personnel experience scores and task complexity scores;

[0018] Calculate staffing risk based on staff experience score and task complexity score:

[0019] ;

[0020] In the formula, Indicates staffing risk, They represent the personnel experience score and the task complexity score respectively; , are adjustment factors, satisfying .

[0021] Preferably, calculating the resource allocation risk includes:

[0022] ;

[0023] In the formula, Indicates resource allocation risk, Represent material quality, structural load and supply stability score respectively, is a constant, satisfying .

[0024] Preferably, calculating the environmental risk includes:

[0025] ;

[0026] In the formula, Indicates environmental risk, They represent weight factors, Respectively represent the ambient temperature, humidity and wind speed in the construction scene; Respectively represent the reference values ​​of ambient temperature, humidity and wind speed; Indicates visibility risk, snow risk, precipitation risk, or lightning risk.

[0027] Preferably, determining the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value includes:

[0028] ;

[0029] In the formula, It represents the construction risk contribution value of the previous construction link to the serial abnormal construction link. Respectively represent the first construction risk value and the second construction risk value; is a constant, satisfying .

[0030] Preferably, the method further comprises:

[0031] Determine the parallel simulation tasks according to the initial planning scheme, simulate the parallel simulation tasks simultaneously, identify all the construction links whose simulation results do not meet the preset conditions in the parallel simulation tasks, and mark them as abnormal parallel construction links;

[0032] The construction plan of the parallel abnormal construction link is optimized, and the parallel simulation task is updated and re-performed based on the optimized construction plan, until the simulation results of all construction links meet the preset conditions, and the second target planning plan is generated.

[0033] In a second aspect, the present invention further provides an engineering construction safety monitoring simulation optimization management system based on the Internet of Things, the system comprising:

[0034] The initial plan planning unit is used to execute step S10: determine the initial plan of the project construction based on the BIM model of the construction project, and determine the serial simulation task according to the initial plan; wherein the initial plan includes the execution order of each construction link and the construction plan;

[0035] The serial abnormality marking unit is used to execute step S20: sequentially simulate the serial simulation tasks, and when it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, terminate the serial simulation task, mark the corresponding construction link as a serial abnormal construction link, and obtain a first construction risk value of the serial abnormal construction link;

[0036] The risk contribution value calculation unit is used to execute step S30: separately simulate the preceding construction link of the serial abnormal construction link to obtain the second construction risk value of the preceding construction link; determine the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value;

[0037] The construction plan optimization unit is used to execute step S40: determine whether the construction risk contribution value is greater than a preset threshold; if so, optimize the construction plan of the previous construction link; if not, optimize the construction plan of the serial abnormal construction link;

[0038] The loop simulation unit is used to execute step S50: update the serial simulation task based on the optimized construction plan, and return to execute steps S20-S40 until the simulation results of all construction links meet the preset conditions, and generate the first target planning plan.

[0039] In a third aspect, the present invention further provides an electronic device comprising a processor and a memory, wherein the memory is used to store computer program code, and the computer program code comprises computer instructions. When the processor executes the computer instructions, the electronic device executes the method as described in the first aspect above and any possible implementation thereof.

[0040] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, wherein the computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the method as described in the first aspect above and any possible implementation thereof.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1) The present invention constructs an initial planning scheme for project construction, and determines serial simulation tasks and parallel simulation tasks based on the execution order of each construction link. The serial simulation task is a construction task that has a sequence of implementation requirements, while the parallel simulation task can simultaneously simulate parallel construction links that have no dependencies. By classifying different construction links to determine serial and parallel simulation schemes, the simulation process can be implemented in a targeted manner, thereby performing a refined risk assessment of the construction process, and timely discovering potential risk points in the construction process, thereby optimizing the construction plan and reducing the occurrence of safety accidents when the real construction scene is subsequently put into use.

[0043] 2) When the present invention performs a serial simulation task, if it is identified that the simulation result of a certain construction link does not meet the preset conditions, the serial simulation task will be terminated immediately, and the abnormal cause of the abnormal link will be analyzed and the construction plan will be adjusted first to avoid the problem of resource waste caused by subsequent invalid simulation. When performing the dynamic optimization process of the construction plan, the first construction risk value of the abnormal link will be obtained first, and then the preceding construction link of the abnormal link will be simulated separately to obtain the second construction risk value of the preceding construction link; according to the first construction risk value and the second construction risk value, the construction risk contribution value of the preceding construction link to the serial abnormal construction link is determined; then, according to the size of the contribution value, the construction plan of the abnormal link or the preceding link is optimized. Since the correlation and mutual influence between different construction links are taken into account, the accuracy of the simulation results is greatly improved, thereby effectively guiding the optimization of the construction plan.

[0044] 3) After optimizing the construction plan, the present invention will update the serial simulation task based on the optimized construction plan, and return to execute the serial simulation task, that is, restore the simulation task and perform the simulation backward from the suspended construction link in sequence, until the simulation results of all construction links meet the preset conditions, and use the optimized construction plan to update the initial construction planning plan as a whole, so as to generate the first target planning plan, realize the effective optimization process of the initial planning plan, greatly improve the rationality and accuracy of the target planning plan, and provide a reliable guidance plan for the subsequent actual construction scene, which can effectively reduce the safety risks in the construction process, improve construction efficiency, and ultimately enhance the energy efficiency of the actual construction process.

[0045] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below.

[0047] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used to illustrate the technical solutions of the present disclosure together with the specification.

[0048] Figure 1 A flowchart of a method for engineering construction safety monitoring simulation optimization management based on the Internet of Things provided by an embodiment of the present invention;

[0049] Figure 2 A schematic diagram of the structure of an engineering construction safety monitoring simulation optimization management system based on the Internet of Things provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0052] At present, the construction safety monitoring based on the Internet of Things still has the problems of inaccurate risk assessment and untimely scheme optimization, which leads to low construction efficiency and construction quality. To this end, the present invention aims to provide a simulation optimization management method for engineering construction safety monitoring based on the Internet of Things, which can first divide serial simulation and parallel simulation tasks based on the initial planning scheme, and carry out the simulation and risk assessment process in a refined manner, and consider the correlation and mutual influence of different construction links, improve the accuracy of simulation results, and provide a reliable basis for optimizing construction plans, thereby enhancing the energy efficiency of actual construction.

[0053] See also Figure 1 , Figure 1 The present invention provides a flowchart of a method for optimizing the management of engineering construction safety monitoring simulation based on the Internet of Things. Figure 1 As shown, the method includes:

[0054] Step S10: determine the initial planning scheme for the project construction based on the BIM model of the construction project, and determine the serial simulation tasks according to the initial planning scheme; wherein the initial planning scheme includes the execution sequence of each construction link and the construction plan.

[0055] First, create a detailed BIM model based on the project design drawings and other relevant information. The BIM model includes but is not limited to digital representations of various aspects such as building structure, mechanical and electrical equipment, and pipeline layout. Based on the BIM model, plan the entire construction process to obtain an initial planning scheme, including defining the goals, required resources, schedules, and dependencies of each construction stage. Then, determine the execution order of each construction link, such as civil engineering, water and electricity installation, interior decoration, etc., and clarify the connection between each link. For each construction link, formulate a specific construction plan, including details such as construction methods, material selection, and staffing. The construction plan should take into account factors such as safety, cost-effectiveness, and construction progress.

[0056] When determining the serial simulation task, the serial simulation order is mainly determined according to the execution order of each construction link, and a simulation model is established for each construction link in the serial simulation task using BIM software or other specialized simulation tools. These simulation models are used to simulate the execution of the link and evaluate possible risks and problems. For example, through simulation, the construction period estimation, cost budget and quality control of the corresponding construction link can be evaluated.

[0057] In this embodiment, through early simulation, potential problems can be discovered in advance and optimized, thereby avoiding delays and rework during the construction process. Through serial simulation, each construction link can be evaluated in an orderly and refined manner.

[0058] This will enable a more accurate assessment of construction risks, and the ability to rationally and effectively optimize construction plans to reduce construction risks.

[0059] Step S20, simulate the serial simulation tasks in sequence. When it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, terminate the serial simulation task, mark the corresponding construction link as a serial abnormal construction link, and obtain the first construction risk value of the serial abnormal construction link.

[0060] The serial simulation tasks are simulated in sequence. For example, if there are 10 construction links in the serial simulation task, the simulation will be carried out in sequence according to the construction order of these 10 construction links. Since the present embodiment mainly studies the problem of construction quality, the simulation result is mainly the construction quality risk. During the simulation process, if it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, the serial simulation task will be immediately terminated. For example, if the construction link 3 does not meet the requirements, then the simulation of construction links 4, 5..., 10 will not be continued in the future. This is because there is a quality problem in the construction link 3, so there is a high probability that there will be a quality risk if the simulation continues in the future, even if there is no problem with the construction plan of the subsequent construction link itself. Therefore, in order to ensure the validity of the simulation results and avoid wasting computing resources in the invalid simulation process, the present embodiment will first terminate the serial simulation task, and mark the problematic construction link as a serial abnormal construction link, and determine the first construction risk value of the serial abnormal construction link according to the simulation results.

[0061] In one embodiment, obtaining the first construction risk value of the serial abnormal construction link includes:

[0062] Calculate the personnel allocation risk, resource allocation risk and environmental risk respectively, and calculate the first construction risk value according to the personnel allocation risk, resource allocation risk and environmental risk:

[0063] ;

[0064] ;

[0065] In the formula, Represents risk assessment indicators, satisfying hour, They correspond to personnel allocation risk, resource allocation risk and environmental risk respectively; , Respectively represent Extraction parameters and weight factors of risk assessment indicators; represents the first construction risk value, represents the variable curvature that satisfies the Gaussian function, is a natural constant.

[0066] In the above formula, by taking the risk assessment index With weight factor Combined, a nonlinear relationship is formed, reflecting the importance of risk assessment indicators and their impact on overall risk. It represents the curvature of the variable that satisfies the Gaussian function, affecting the width and height of the curve. The extraction parameters of each risk assessment indicator are calculated by integral operation. The cumulative distribution function of the risk factor pool is constructed to quantify the specific degree of staffing, resource allocation, and environmental risks.

[0067] In one embodiment, calculating the staffing risk includes:

[0068] The experience level of construction personnel and the complexity of construction tasks are graded to obtain personnel experience scores and task complexity scores;

[0069] Calculate staffing risk based on staff experience score and task complexity score:

[0070] ;

[0071] In the formula, Indicates staffing risk, They represent the personnel experience score and the task complexity score respectively; , are adjustment factors, satisfying .

[0072] Preferably, calculating the resource allocation risk includes:

[0073] ;

[0074] In the formula, Indicates resource allocation risk, Represent material quality, structural load and supply stability score respectively, is a constant, satisfying .

[0075] Preferably, calculating the environmental risk includes:

[0076] ;

[0077] In the formula, Indicates environmental risk, They represent weight factors, Respectively represent the ambient temperature, humidity and wind speed in the construction scene; Respectively represent the reference values ​​of ambient temperature, humidity and wind speed; Indicates visibility risk, snow risk, precipitation risk, or lightning risk.

[0078] Staffing risks are mainly caused by team members lacking the necessary skills or experience to complete specific tasks. For example, more complex tasks are assigned to inexperienced or inappropriate personnel. Resource allocation risks are mainly caused by insufficient supply of raw materials or equipment, which may lead to work stoppages, quality problems of the materials themselves, and unqualified structural loads during construction. Environmental risks mainly come from bad weather such as heavy rain, typhoons, blizzards, lightning, haze, etc., which will increase construction safety risks. More intuitive data can be reflected in ambient temperature, humidity and wind speed. For example, construction in the summer under the sun is prone to heatstroke, and strong winds and lightning or high humidity are not conducive to construction activities.

[0079] When calculating the risk of staffing, this embodiment takes into account both personnel experience and task complexity, and can more comprehensively assess the risk of staffing. The form of reflects the combined influence of personnel experience and task complexity, ensuring that the risk value is low when the personnel are experienced or the task is simple. By introducing a nonlinear relationship, the greater the gap between personnel experience and task complexity, the higher the risk value. This nonlinear relationship can better simulate the interaction between personnel experience and task complexity in real situations. As for the adjustment factor , , usually satisfied , the specific value can be flexibly adjusted according to the specific usage scenario to adapt to different construction environments and staffing situations.

[0080] When calculating resource allocation risk, the three aspects of material quality, structural load and supply stability are comprehensively considered to assess resource allocation risk more comprehensively. ,satisfy , which can more flexibly adjust different resource allocation situations to adapt to different construction scenarios. When calculating environmental risks, the above formula comprehensively considers multiple environmental factors such as ambient temperature, humidity, wind speed, visibility, snowfall, precipitation or lightning, and can more comprehensively evaluate environmental risks. By estimating the environmental data on the day of construction and setting the corresponding benchmark value, the degree of deviation between the environmental factors and the benchmark value is calculated, so as to assess that the risk value is higher when the environmental conditions deviate from the normal range. It is able to assess specific environmental risk factors, such as visibility risk, snowfall risk, precipitation risk or lightning risk, thus improving the targeted nature of environmental risk assessment.

[0081] Therefore, the above embodiment can more accurately evaluate the risk of personnel allocation, resource allocation and environmental risk by introducing nonlinear relationships, comprehensively considering multiple factors and setting flexible parameters when calculating the risk of personnel allocation, resource allocation and environmental risk, thereby providing strong support for risk management during the construction process. By quantifying the risk value, risk points can be more effectively identified, thereby effectively optimizing the construction plan and improving the safety of the actual construction process.

[0082] Step S30, separately simulate the preceding construction link of the serial abnormal construction link to obtain the second construction risk value of the preceding construction link; determine the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value.

[0083] It is understandable that when the first construction risk value of the serial abnormal construction link is obtained, since the simulation result does not meet the preset conditions, it can be considered that the current first construction risk value is too large and cannot meet the safety range of the construction risk. However, since it is a serial construction simulation, different construction links are dependent and mutually influential, that is, there is a risk transfer effect. For example, the previous construction link is foundation laying, and the construction quality of the foundation laying will inevitably affect the quality of the subsequent main structure construction, such as the installation and casting process of major load-bearing components such as columns, beams, and floor slabs. Therefore, this embodiment needs to further analyze whether there is a problem with the construction plan of the serial abnormal construction link or the construction plan of the previous construction link.

[0084] In one embodiment, determining the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value includes:

[0085] ;

[0086] In the formula, It represents the construction risk contribution value of the previous construction link to the serial abnormal construction link. Respectively represent the first construction risk value and the second construction risk value; is a constant, satisfying .

[0087] In the above formula, Represents a very small positive number, usually satisfying , used to adjust When is 0, When the difference is large, The value of will also be relatively high, indicating that the risk difference between the two construction links is significant, and the previous construction link contributes more to the risk of the subsequent abnormal construction link. When approaching, If the value of is small, The value will also decrease accordingly, which indicates that the risk levels of the two construction links are similar, and the previous construction link contributes less to the risk of the subsequent abnormal construction link. Therefore, this formula can quantify the degree of risk correlation between construction links, which is helpful for more scientific management and risk reduction of construction links.

[0088] Step S40, determine whether the construction risk contribution value is greater than a preset threshold; if so, optimize the construction plan of the preceding construction link; if not, optimize the construction plan of the serial abnormal construction link.

[0089] It can be understood that if the construction risk contribution value is greater than the preset threshold, the construction plan of the preceding construction link will be optimized first, otherwise the construction plan of the serial abnormal construction link will be optimized.

[0090] Step S50, update the serial simulation task based on the optimized construction plan, and return to execute steps S20-S40 until the simulation results of all construction links meet the preset conditions, and generate the first target planning plan.

[0091] After optimization, due to the change of the construction plan, it is necessary to update the serial simulation task as a whole and continue the simulation task. For example, assuming that the construction risk contribution value of the preceding construction link to the serial abnormal construction link is calculated to be greater than the preset threshold, then the construction plan of the preceding construction link is optimized, and the serial simulation task is updated as a whole after optimization, and the simulation task is restored from the position of the serial abnormal construction link. If the simulation result of the serial abnormal construction link is still found to not meet the preset conditions after simulation, it means that the optimization plan of the preceding construction link may need to be further adjusted, or it is not enough to optimize the plan of the preceding construction link, and it is necessary to optimize the construction plan of the serial abnormal construction link. Therefore, it is necessary to return to step S20, re-analyze the abnormal cause and further optimize according to the above method, until the simulation result can meet the preset conditions, and then continue the simulation of the subsequent construction link, that is, repeat the steps S20-S40, until all the construction links are simulated and all the simulation results meet the preset conditions, then the task construction plan optimization is completed, and finally the initial planning plan is updated as a whole according to the optimized data, that is, the first target planning plan is obtained, and the first target planning plan is used in the actual construction process.

[0092] In one embodiment, in order to optimize the construction plan of the construction phase, the following steps can be performed:

[0093] 1) Define the objective function: In the scenario of construction quality optimization, an objective function is established with the goal of "minimizing construction risk", where the construction quality can be characterized by the weighted results of personnel allocation risk, resource allocation risk, and environmental risk.

[0094] 2) Set constraints:

[0095] Safety requirements: Ensure that all construction operations comply with safety standards.

[0096] Resource constraints: such as budget, available labor and materials, etc.

[0097] Time limit: The construction must be completed within the specified time

[0098] 3) Select optimization algorithm:

[0099] Genetic Algorithm: Suitable for nonlinear and multimodal optimization problems.

[0100] Particle swarm optimization algorithm: easy to implement and suitable for large-scale optimization problems.

[0101] Gradient descent method: Applicable to situations where the objective function is differentiable.

[0102] Simulated annealing algorithm: suitable for problems that are prone to falling into local optimal solutions.

[0103] 4) Parameter optimization solution:

[0104] For example, a genetic algorithm is used for iterative calculations, and parameters are continuously adjusted until the optimal solution is output, thereby obtaining an optimized construction plan.

[0105] It is understandable that the above embodiments consider the situation of serial simulation tasks, but in the construction scenario, there are still some construction links that can be processed in parallel, such as the main structure construction on different floors can be carried out simultaneously, electromechanical installation (such as pipeline laying, electrical wiring) and decoration work (such as wall plastering, floor laying) can be carried out simultaneously in different areas or floors, etc. Therefore, in order to speed up the simulation efficiency, in one embodiment, the simulation process of parallel simulation tasks is also considered.

[0106] Specifically, the method further includes:

[0107] Step 1), determine the parallel simulation tasks according to the initial planning scheme, simulate the parallel simulation tasks simultaneously, identify all the construction links whose simulation results do not meet the preset conditions in the parallel simulation tasks, and mark them as abnormal parallel construction links;

[0108] Step 2) Optimize the construction plan of the parallel abnormal construction link, update the parallel simulation task based on the optimized construction plan and re-perform the parallel simulation task until the simulation results of all construction links meet the preset conditions, and generate the second target planning plan.

[0109] In this embodiment, the parallel simulation tasks are first determined according to the initial planning scheme, and then the parallel simulation tasks are simulated simultaneously. Assuming that there are 5 construction links that can be simulated in parallel, they can be simulated simultaneously. If it is identified that the simulation result of a certain construction link does not meet the preset conditions, the simulation task will not stop but will continue to execute until all parallel tasks are simulated. All construction links whose simulation results do not meet the preset conditions are obtained, and they are all marked as parallel abnormal construction links.

[0110] Furthermore, the construction plan of the parallel abnormal construction link is optimized. The specific optimization process refers to the optimization process of the serial abnormal construction link or the preceding construction link in the previous embodiment, and will not be further described here. After optimization, the parallel simulation task is updated based on the optimized construction plan and the parallel simulation task is re-performed, that is, return to execute step 1), until the simulation results of all construction links meet the preset conditions, and generate the second target planning scheme. Finally, the first target planning scheme and the second target planning scheme are combined as the final construction plan and put into the actual construction process.

[0111] Therefore, this embodiment takes into account the construction simulation process of parallel tasks, speeds up the simulation efficiency through parallel simulation processing and separate optimization and updating, ensures the rationality of the parallel construction link plan, and provides guidance for subsequent actual construction plans.

[0112] In summary, the method provided by the embodiment of the present invention can at least achieve the following beneficial effects:

[0113] 1) The present invention constructs an initial planning scheme for project construction, and determines serial simulation tasks and parallel simulation tasks based on the execution order of each construction link. The serial simulation task is a construction task that has a sequence of implementation requirements, while the parallel simulation task can simultaneously simulate parallel construction links that have no dependencies. By classifying different construction links to determine serial and parallel simulation schemes, the simulation process can be implemented in a targeted manner, thereby performing a refined risk assessment of the construction process, and timely discovering potential risk points in the construction process, thereby optimizing the construction plan and reducing the occurrence of safety accidents when the real construction scene is subsequently put into use.

[0114] 2) When the present invention performs a serial simulation task, if it is identified that the simulation result of a certain construction link does not meet the preset conditions, the serial simulation task will be terminated immediately, and the abnormal cause of the abnormal link will be analyzed and the construction plan will be adjusted first to avoid the problem of resource waste caused by subsequent invalid simulation. When performing the dynamic optimization process of the construction plan, the first construction risk value of the abnormal link will be obtained first, and then the preceding construction link of the abnormal link will be simulated separately to obtain the second construction risk value of the preceding construction link; according to the first construction risk value and the second construction risk value, the construction risk contribution value of the preceding construction link to the serial abnormal construction link is determined; then, according to the size of the contribution value, the construction plan of the abnormal link or the preceding link is optimized. Since the correlation and mutual influence between different construction links are taken into account, the accuracy of the simulation results is greatly improved, thereby effectively guiding the optimization of the construction plan.

[0115] 3) After optimizing the construction plan, the present invention will update the serial simulation task based on the optimized construction plan, and return to execute the serial simulation task, that is, restore the simulation task and perform the simulation backward from the suspended construction link in sequence, until the simulation results of all construction links meet the preset conditions, and use the optimized construction plan to update the initial construction planning plan as a whole, so as to generate the first target planning plan, realize the effective optimization process of the initial planning plan, greatly improve the rationality and accuracy of the target planning plan, and provide a reliable guidance plan for the subsequent actual construction scene, which can effectively reduce the safety risks in the construction process, improve construction efficiency, and ultimately enhance the energy efficiency of the actual construction process.

[0116] See also Figure 2 In one embodiment, the present invention further provides an engineering construction safety monitoring simulation optimization management system based on the Internet of Things, the system comprising:

[0117] The initial plan planning unit 100 is used to execute step S10: determine the initial planning plan of the project construction based on the BIM model of the construction project, and determine the serial simulation task according to the initial planning plan; wherein the initial planning plan includes the execution order of each construction link and the construction plan;

[0118] The serial abnormality marking unit 200 is used to execute step S20: sequentially simulate the serial simulation tasks, and when it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, terminate the serial simulation task, mark the corresponding construction link as a serial abnormal construction link, and obtain a first construction risk value of the serial abnormal construction link;

[0119] The risk contribution value calculation unit 300 is used to execute step S30: separately simulate the preceding construction link of the serial abnormal construction link to obtain the second construction risk value of the preceding construction link; determine the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value;

[0120] The construction plan optimization unit 400 is used to execute step S40: determine whether the construction risk contribution value is greater than a preset threshold; if so, optimize the construction plan of the previous construction link; if not, optimize the construction plan of the serial abnormal construction link;

[0121] The loop simulation unit 500 is used to execute step S50: update the serial simulation task based on the optimized construction plan, and return to execute steps S20-S40 until the simulation results of all construction links meet the preset conditions, and generate the first target planning plan.

[0122] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the method described in the above method embodiment. Its specific implementation can refer to the description of the above method embodiment. For the sake of brevity, it will not be repeated here.

[0123] The present invention also provides an electronic device, including a processor and a memory, wherein the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any possible implementation manner.

[0124] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any possible implementation manner.

[0125] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0126] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those skilled in the art can also clearly understand that the descriptions of the various embodiments of the present invention have different focuses. For the convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, for parts not described or not described in detail in a certain embodiment, refer to the records of other embodiments.

Claims

1. A method for engineering construction safety monitoring simulation optimization management based on the Internet of Things, characterized in that: The method comprises: Step S10: determining an initial planning scheme for project construction based on the BIM model of the construction project, and determining serial simulation tasks according to the initial planning scheme; wherein the initial planning scheme includes the execution sequence of each construction link and the construction scheme; Step S20, simulating the serial simulation tasks in sequence, and when it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, terminating the serial simulation task, marking the corresponding construction link as a serial abnormal construction link, and obtaining a first construction risk value of the serial abnormal construction link; The obtaining of the first construction risk value of the serial abnormal construction link includes: Calculate the personnel allocation risk, resource allocation risk and environmental risk respectively, and calculate the first construction risk value according to the personnel allocation risk, resource allocation risk and environmental risk: Where, X i represents the risk assessment index. When i=1,2,3, X1, X2, and X3 correspond to personnel allocation risk, resource allocation risk, and environmental risk, respectively; Y i 、w i They represent the extraction parameters and weight factors of the i-th risk assessment index respectively; R1 represents the first construction risk value, α represents the variable curvature that satisfies the Gaussian function, and e is a natural constant; The resource allocation risks include: In the formula, R s represents the risk of resource allocation, Q, L, and S represent the material quality, structural load, and supply stability score, respectively, and d is a constant, satisfying d>1; The environmental risks include: R e =β1(T r -T0)+β2(H r -H0)+β3(W r -W0)+β4ΔZ In the formula, R e represents environmental risk, β1, β2, β3, and β4 represent weight factors, T r , H r , W r They represent the ambient temperature, humidity and wind speed in the construction scene respectively; T0, J0 and W0 represent the reference values ​​of ambient temperature, humidity and wind speed respectively; ΔZ represents visibility risk, snowfall risk, precipitation risk or lightning risk; Step S30, separately simulating the preceding construction link of the serial abnormal construction link to obtain a second construction risk value of the preceding construction link; determining the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value; Determining the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value includes: In the formula, C represents the construction risk contribution value of the preceding construction link to the serial abnormal construction link, R1 and R2 represent the first construction risk value and the second construction risk value respectively; ∈ is a constant that satisfies ∈≤10 -6 ； Step S40, determine whether the construction risk contribution value is greater than a preset threshold; if so, optimize the construction plan of the previous construction link; if not, optimize the construction plan of the serial abnormal construction link; Step S50, update the serial simulation task based on the optimized construction plan, and return to execute steps S20-S40 until the simulation results of all construction links meet the preset conditions, and generate the first target planning plan.

2. The method for engineering construction safety monitoring simulation optimization management based on the Internet of Things according to claim 1 is characterized in that: Calculate the staffing risk, including: The experience level of construction personnel and the complexity of construction tasks are graded to obtain personnel experience scores and task complexity scores; Calculate staffing risk based on staff experience score and task complexity score: In the formula, R p represents the risk of personnel configuration, E and C represent the personnel experience score and task complexity score respectively; μ, are adjustment factors, satisfying 0<β, 3. The engineering construction safety monitoring simulation optimization management method based on the Internet of Things according to claim 1 is characterized in that: The method further comprises: Determine the parallel simulation tasks according to the initial planning scheme, simulate the parallel simulation tasks simultaneously, identify all the construction links whose simulation results do not meet the preset conditions in the parallel simulation tasks, and mark them as abnormal parallel construction links; The construction plan of the parallel abnormal construction link is optimized, and the parallel simulation task is updated and re-performed based on the optimized construction plan, until the simulation results of all construction links meet the preset conditions, and the second target planning plan is generated.

4. An engineering construction safety monitoring simulation optimization management system based on the Internet of Things, characterized in that: The system comprises: The initial plan planning unit is used to execute step S10: determine the initial plan of the project construction based on the BIM model of the construction project, and determine the serial simulation task according to the initial plan; wherein the initial plan includes the execution order of each construction link and the construction plan; The serial abnormality marking unit is used to execute step S20: sequentially simulate the serial simulation tasks, and when it is identified that the simulation result of a certain construction link in the serial simulation task does not meet the preset conditions, terminate the serial simulation task, mark the corresponding construction link as a serial abnormal construction link, and obtain a first construction risk value of the serial abnormal construction link; The obtaining of the first construction risk value of the serial abnormal construction link includes: Calculate the personnel allocation risk, resource allocation risk and environmental risk respectively, and calculate the first construction risk value according to the personnel allocation risk, resource allocation risk and environmental risk: Where, X i represents the risk assessment index. When i=1,2,3, X1, X2, and X3 correspond to personnel allocation risk, resource allocation risk, and environmental risk, respectively; Y i 、w i They represent the extraction parameters and weight factors of the i-th risk assessment index respectively; R1 represents the first construction risk value, α represents the variable curvature that satisfies the Gaussian function, and e is a natural constant; The resource allocation risks include: In the formula, R s represents the risk of resource allocation, Q, L, and S represent the material quality, structural load, and supply stability score, respectively, and d is a constant, satisfying d>1; The environmental risks include: R e =β1(T r -T0)+β2(H r -H0)+β3(W r -W0)+β4ΔZ In the formula, R e represents environmental risk, β1, β2, β3, β4 represent weight factors, T r , H r , W r They represent the ambient temperature, humidity and wind speed in the construction scene respectively; T0, H0 and W0 represent the reference values ​​of ambient temperature, humidity and wind speed respectively; ΔZ represents visibility risk, snowfall risk, precipitation risk or lightning risk; The risk contribution value calculation unit is used to execute step S30: separately simulate the preceding construction link of the serial abnormal construction link to obtain the second construction risk value of the preceding construction link; determine the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value; Determining the construction risk contribution value of the preceding construction link to the serial abnormal construction link according to the first construction risk value and the second construction risk value includes: In the formula, C represents the construction risk contribution value of the preceding construction link to the serial abnormal construction link, R1 and R2 represent the first construction risk value and the second construction risk value respectively; ∈ is a constant that satisfies ∈≤10 -6 ； The construction plan optimization unit is used to execute step S40: determine whether the construction risk contribution value is greater than a preset threshold; if so, optimize the construction plan of the previous construction link; if not, optimize the construction plan of the serial abnormal construction link; The loop simulation unit is used to execute step S50: update the serial simulation task based on the optimized construction plan, and return to execute steps S20-S40 until the simulation results of all construction links meet the preset conditions, and generate the first target planning plan.

5. An electronic device, characterized in that: It includes a processor and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, and when the processor executes the computer instructions, the electronic device executes the engineering construction safety monitoring simulation optimization management method based on the Internet of Things as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the engineering construction safety monitoring simulation optimization management method based on the Internet of Things as described in any one of claims 1 to 3.

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