Early warning method and device for construction site construction, storage medium and program product

Abstract

The invention discloses a construction site construction early warning method and device, a storage medium and a program product. The method comprises the steps of obtaining construction environment data, building site image data, construction process data, construction material data and a building design drawing; according to the building site image data and the building design drawing, constructing a building three-dimensional model, and combining the building three-dimensional model with the construction process data and the construction material data to generate a construction prediction model; performing construction process simulation through the construction prediction model, dividing each construction stage, and obtaining a process simulation result; according to the process simulation result and a historical construction database, judging whether each construction stage meets a construction structure early warning condition, a construction budget early warning condition, a construction delay early warning condition and / or a construction safety early warning condition; the construction stages are calibrated according to the met early warning conditions, and corresponding early warning is given out. Simulation prediction and early warning can be carried out on the construction project, and it is ensured that the construction project is safe and efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of construction site early warning, and in particular to a construction site early warning method, equipment, storage medium and program product. Background Art

[0002] With the rapid development of the construction industry, the complexity and scale of construction projects are increasing, and the requirements for refined construction management are becoming higher and higher. In the traditional construction management of the construction industry, the design of the construction process often relies on manual experience and judgment. The construction process determination method that relies on manual experience is difficult to accurately control the overall situation. The construction process pre-confirmed before construction is difficult to have a comprehensive understanding of the impact of multi-dimensional data such as the construction site environment and construction material parameters in the actual construction process. If the construction process designer is inexperienced or makes mistakes, it will be difficult to accurately judge and warn of various problems that may arise during the construction process, such as cost overruns and delays in construction projects due to unreasonable construction sequence, and even casualties.

[0003] In view of this, it is necessary to provide a construction site early warning method that can comprehensively consider multiple factors, accurately simulate the construction process, and warn of potential risks in advance. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a construction site early warning method, equipment, storage medium and program product, wherein the method performs comprehensive data processing on construction environment data, building site image data, construction process data, construction material data and building design drawings, constructs a more accurate construction prediction model through multi-dimensional data, and then simulates the construction process, judges the construction problems based on the simulation results, and issues corresponding early warnings for each construction stage to remind designers and assist them in optimizing the design of the construction process.

[0005] The technical solution of the present invention provides a construction site early warning method, comprising:

[0006] Obtain construction environment data, construction site image data, construction process data, construction material data and building design drawings;

[0007] constructing a three-dimensional building model according to the construction site image data and the building design drawing, and combining the three-dimensional building model with the construction process data and the construction material data to generate a construction prediction model;

[0008] The construction process is simulated by using the construction prediction model, each construction stage is divided, and the process simulation result is obtained;

[0009] According to the process simulation results and the historical construction database, determining whether each construction stage meets the construction structure warning condition, the construction budget warning condition, the construction delay warning condition and / or the construction safety warning condition;

[0010] The construction stages are calibrated according to the early warning conditions met and corresponding early warnings are issued.

[0011] One of the optional technical solutions also includes:

[0012] Selecting the construction project with the highest similarity from the historical construction database as a comparison construction project according to the three-dimensional model;

[0013] Acquire historical construction data corresponding to the compared construction project, adjust the construction prediction model according to the historical construction data, and obtain an optimized construction model;

[0014] Re-simulating the construction process through the optimized construction model, and if the early warning calibration of all construction stages is eliminated, then stopping the adjustment of the construction process simulation;

[0015] Based on the data of the optimized construction model, optimization suggestions are made for each construction stage.

[0016] In one of the optional technical solutions, the obtaining of historical construction data corresponding to the compared construction project, adjusting the construction prediction model according to the historical construction data, and obtaining the optimized construction model includes:

[0017] Analyze the historical construction data corresponding to the comparison construction project to obtain comparison process data and comparison material data;

[0018] Comparing the comparison process data with the construction process data to obtain a process difference value;

[0019] Comparing the comparison material data with the construction material data to obtain a material difference value;

[0020] If the process difference value is greater, adjusting the construction process data;

[0021] If the material difference value is greater, adjusting the construction material data;

[0022] The construction prediction model is modified according to the adjusted construction process data and / or the construction material data to obtain an optimized construction model.

[0023] In one of the optional technical solutions, the adjusting the construction process data includes:

[0024] Referring to the comparison process data, shorten the estimated construction time or advance the construction start time for the construction phase that meets the construction delay warning conditions;

[0025] Referring to the comparison process data, strengthening construction protection or changing construction operations are performed at the construction stage that meets the construction safety warning conditions;

[0026] The adjusting of the construction material data includes:

[0027] Referring to the comparison process data, structural improvements or material changes are made to the construction phase that meets the construction structure warning conditions;

[0028] With reference to the comparison process data, resource allocation optimization is performed for the construction phase that meets the construction budget warning conditions.

[0029] In one of the optional technical solutions, the condition for satisfying the construction safety warning condition is that the safety value of the construction stage is less than or equal to a preset safety threshold, and the safety value is obtained by calculating the construction environment data, the height of the construction location, the protection strength of the construction location and the safety factor corresponding to the construction stage.

[0030] In one of the optional technical solutions, the safety value is calculated as follows:

[0031] Counting the accident frequency corresponding to each construction operation in the historical construction database, and sorting the construction operations from low to high according to the accident frequency;

[0032] Assign safety scores from high to low to each construction operation according to the sorting order;

[0033] Analyze the construction operations included in each construction stage, and calculate the total safety value obtained by adding up the safety scores of all construction operations in each construction stage;

[0034] The safety factor corresponding to each construction stage is determined according to the total safety value.

[0035] In one of the optional technical solutions, the construction environment data is the environmental data of a specified construction period obtained through real-time detection and weather forecast, and the construction environment data includes weather condition data, geological condition data and light condition data, the weather condition data includes temperature information, humidity information, wind speed information and rainfall information, the geological condition data includes soil type information, groundwater level information and rock layer distribution information, and the light condition data includes light intensity information, light angle information and light duration information;

[0036] The construction process data includes the name of the construction stage, the estimated start time, the estimated end time, the estimated construction duration, the estimated work and rest time, and the construction resource information, and the construction resource information includes human resources, equipment resources, and material resources;

[0037] The construction material data includes material logistics information, material type information, material specification information and material usage information.

[0038] The technical solution of the present invention provides a computer device, including a memory, a processor and a computer program on the memory, and the processor executes the computer program to implement any step of the aforementioned construction site early warning method.

[0039] The technical solution of the present invention provides a computer-readable storage medium on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps of any of the aforementioned construction site early warning methods are implemented.

[0040] The technical solution of the present invention provides a computer program product, including a computer program / instruction, which implements the steps of any of the aforementioned construction site early warning methods when executed by a processor.

[0041] The above technical solution has the following beneficial effects:

[0042] The construction site early warning method provided by the present invention performs multi-dimensional and comprehensive data processing on construction environment data, building site image data, construction process data, construction material data and building design drawings, and accurately constructs a construction prediction model that can realize accurate construction simulation to realize construction prediction through multi-dimensional data. Then, the construction prediction model simulates the construction process of the construction project, divides a plurality of construction stages in the construction process simulation process, and judges the construction problems that may exist in each construction stage according to the construction simulation results, including construction structure problems, construction budget problems, construction delay problems and construction safety problems, and performs corresponding early warning calibration for each construction stage according to the existing construction problems, and reminds the designer on the construction prediction model, thereby assisting the designer in optimizing the design of the construction process.

[0043] The present invention can build a construction prediction model based on a comprehensive information foundation to ensure that the prediction of the construction process simulation comprehensively considers various factors existing in the construction project. By using three-dimensional model technology combined with environmental data and other factors, and then combining with the historical construction database, accurate simulation of the construction process and accurate judgment of early warning conditions can be achieved. It can identify and prevent various risks of construction projects in advance to reduce the probability of construction delays and safety accidents, and help improve construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The disclosure of the present invention will become more easily understood with reference to the accompanying drawings. It should be understood that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In the drawings:

[0045] Figure 1 A flowchart of a construction site early warning method provided by an embodiment of the present invention;

[0046] Figure 2 A workflow diagram of a construction site early warning method provided by another embodiment of the present invention;

[0047] Figure 3 A structural diagram of a computer device provided in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The specific implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0049] like Figure 1 A construction site early warning method provided by an embodiment of the present invention is shown, comprising:

[0050] Step S101: Obtain construction environment data, construction site image data, construction process data, construction material data and building design drawings.

[0051] Step S102: construct a three-dimensional building model based on the construction site image data and the building design drawing, and combine the three-dimensional building model with the construction process data and construction material data to generate a construction prediction model.

[0052] Step S103: simulating the construction process through the construction prediction model, dividing the construction phases, and obtaining process simulation results.

[0053] Step S104: judging whether each construction stage satisfies the construction structure warning condition, the construction budget warning condition, the construction delay warning condition and / or the construction safety warning condition according to the process simulation result and the historical construction database.

[0054] Step S105: respectively calibrate the construction stages according to the satisfied warning conditions and issue corresponding warnings.

[0055] like Figure 2 As shown, further, after step S105, it also includes:

[0056] Step S201: selecting a construction project with the highest similarity from the historical construction database as a comparison construction project based on the three-dimensional model.

[0057] Step S202: Acquire historical construction data corresponding to the compared construction project, adjust the construction prediction model according to the historical construction data, and obtain an optimized construction model.

[0058] Step S203: re-simulating the construction process through the optimized construction model. If the warning calibration of all construction stages is eliminated, the adjustment of the construction process simulation is stopped.

[0059] Step S204: making optimization suggestions for each construction stage according to the data of the optimized construction model.

[0060] Preferably, the construction environment data in step S101 is environmental data of a specified construction period obtained through real-time detection and weather forecast, and the construction environment data includes weather condition data, geological condition data and lighting condition data. The weather condition data includes temperature information, humidity information, wind speed information and rainfall information. The geological condition data includes soil type information, groundwater level information and rock layer distribution information. The lighting condition data includes lighting intensity information, lighting angle information and lighting duration information.

[0061] The construction process data includes the name of the construction stage, the estimated start time, the estimated end time, the estimated construction duration, the estimated work and rest time, and construction resource information. The construction resource information includes human resources, equipment resources, and material resources.

[0062] The construction material data includes material logistics information, material type information, material specification information and material usage information.

[0063] Among all the information obtained, the environmental data of the construction site is first restored through the simulation system, and the simulated environment is established through the weather condition data, geological condition data and lighting condition data. The Internet is connected to obtain weather forecast information in the construction area, and the temperature, humidity, wind speed and rainfall changes over time during the construction period are restored. Based on the soil type, groundwater level and rock layer distribution, a geological structure matching the construction site is constructed to ensure that the support of the three-dimensional model of the building constructed above the geological structure can be accurately simulated. According to the longitude and latitude of the construction site and the date during the construction period, the light intensity, light angle and light duration are calculated to simulate the natural light environment of the construction site as the basis for the environmental light changes of the construction prediction model. The construction process data includes the pre-arranged construction sequence of the building part in the overall construction, the construction personnel arrangement, the construction operation, the specific construction time, etc.

[0064] Based on the two-dimensional or three-dimensional architectural design drawings, a three-dimensional building model is generated, and the three-dimensional building model is placed in the aforementioned environmental simulation scenario. Combined with the construction process data, the structural changes of the building from the beginning of construction to the completion of construction can be simulated, and the allocation of human resources, equipment resources and material resources in the construction resource information can be combined. For example, the efficiency of construction can be simulated according to the type of construction equipment, the number of construction equipment, the number of construction personnel, etc., and then the material logistics information, material type information, material specification information and material usage information in the construction material data can be combined to simulate the consumption and replenishment of materials during the construction process, and calculate the overall structural strength of the building and the structural strength of the construction site in each construction stage.

[0065] The construction prediction model, which is jointly constructed by construction environment data, building site image data, construction process data, construction material data and building design drawings, is a three-dimensional model that includes the external environment and reflects the changes of the building over time. It has a timeline. According to the advancement of the timeline, construction workers carry out construction in sequence at the construction site according to the construction stage. Weather conditions change over time, and the alternation of day and night also affects the progress of construction. The position of construction workers and the state of the building are constantly changing until the construction project of the entire building is completed. In the whole process, logistics simulation can also be used to prevent the occurrence of excess accumulation or shortage of materials, and the simulation of the construction process can assist designers in more reasonably arranging the replenishment logistics of construction materials.

[0066] By obtaining the material costs, construction equipment costs, construction personnel costs and other expenditures in advance from the historical construction database, the construction budget is constantly deducted in the process of simulating the entire construction process through the construction prediction model. In the process of construction simulation, due to insufficient building structure strength, insufficient protection strength, insufficient light, fatigue work, etc., construction personnel may have accidents, and additional compensation expenses need to be calculated, and it is judged that the construction stage meets the construction safety warning conditions. Designers need to redesign the construction process, carry out targeted structural reinforcement, strengthen safety protection, increase lighting, increase construction personnel or reduce continuous construction time, etc. to ensure safety. If the construction budget is less than 0 during the construction simulation, it is judged that the construction budget warning conditions are met. If the construction time exceeds the construction period during the construction simulation, and the overall construction of the building is not completed before the construction completion date, it is judged that the construction delay warning conditions are met.

[0067] As needed, the judgment of construction structure warning conditions, construction budget warning conditions, construction delay warning conditions and construction safety warning conditions can be made based on the entire construction project or individually for each construction stage.

[0068] After the corresponding warning calibration is performed for the construction stage that meets various warning conditions, the construction project with the highest similarity is selected from the historical construction database as the comparison construction project, and the corresponding historical construction data is obtained according to the comparison construction project. Then, the construction prediction model is adjusted according to the historical construction data to obtain the optimized construction model, and the construction process simulation is performed again through the optimized construction model. If there is still at least one warning in the construction process simulation of the optimized construction model, the above steps are repeated, the data is compared again, and then the optimized construction model is obtained again, and the construction process simulation is performed again until no warning occurs. The last optimized construction model is selected as a reference for construction process optimization, and reliable construction process improvement suggestions are provided to designers based on the differences between the optimized construction model and the construction prediction model. Thereby reducing the dependence of the construction process design on the experience of designers, and being able to predict in advance the unpredictable situations caused by environmental factors affecting the construction materials. By simulating the construction process, the construction process is accurately warned for designers, which helps to improve the building strength, construction efficiency and safety of construction personnel.

[0069] In summary, the construction site early warning method provided by the present invention performs multi-dimensional comprehensive data processing on construction environment data, building site image data, construction process data, construction material data and architectural design drawings, and accurately constructs a construction prediction model that can realize accurate construction simulation to achieve construction prediction through multi-dimensional data. Then, the construction prediction model simulates the construction process of the construction project, divides a plurality of construction stages in the construction process simulation process, and judges the possible construction problems in each construction stage according to the construction simulation results, including construction structure problems, construction budget problems, construction delay problems and construction safety problems, and performs corresponding early warning calibration for each construction stage according to the existing construction problems, and reminds the designers on the construction prediction model, thereby assisting the designers in optimizing the design of the construction process.

[0070] Therefore, the present invention can build a construction prediction model based on a comprehensive information foundation to ensure that the prediction of the construction process simulation takes into account all factors existing in the construction project. By using three-dimensional model technology combined with environmental data and other factors, and combining with the historical construction database, accurate simulation of the construction process and accurate judgment of early warning conditions can be achieved. It can identify and prevent various risks of construction projects in advance to reduce the probability of construction delays and safety accidents, and help improve construction efficiency.

[0071] In one embodiment, the obtaining of historical construction data corresponding to the comparison construction project, adjusting the construction prediction model according to the historical construction data, and obtaining an optimized construction model includes:

[0072] The historical construction data corresponding to the comparison construction project are analyzed to obtain comparison process data and comparison material data.

[0073] The comparison process data is compared with the construction process data to obtain a process difference value.

[0074] The comparison material data is compared with the construction material data to obtain a material difference value.

[0075] If the process difference value is larger, the construction process data is adjusted.

[0076] If the material difference value is greater, the construction material data is adjusted.

[0077] The construction prediction model is modified according to the adjusted construction process data and / or the construction material data to obtain an optimized construction model.

[0078] In this embodiment, the construction environment data obtained from real-time detection and weather forecast are fully utilized, and these data cover detailed information on weather conditions (such as temperature, humidity, wind speed and rainfall, etc.), geological conditions (such as soil type, groundwater level, rock layer distribution, etc.) and lighting conditions (such as light intensity, lighting angle and lighting duration, etc.). This information is crucial for understanding the complexity of the construction environment and its impact on the construction process. For example, the environmental changes such as light during the flow of time can be accurately simulated in different environments to assist designers in making reasonable designs for lighting arrangements.

[0079] By comparing the historical construction data corresponding to the construction project, comparative process data and comparative material data are obtained. The calculation of process difference values ​​and material difference values ​​is not only based on the comparison of the construction process and the materials themselves, but also takes into account the differences in construction environment data. This step is set up to accurately locate possible problems or deficiencies in the current construction project in a complex and changeable construction environment. The data processing process includes extracting data of similar projects from the historical database and conducting detailed comparative analysis in combination with the construction environment data. The technical effect is that by comprehensively considering the construction environment data and historical construction data, the potential bottlenecks in the current construction process and the irrationality of material use can be more accurately identified, providing a more comprehensive and powerful basis for subsequent construction process adjustments and material optimization.

[0080] In one embodiment, the adjusting the construction process data includes:

[0081] With reference to the comparison process data, the estimated construction duration is shortened or the construction start time is advanced for the construction phase that meets the construction delay warning conditions.

[0082] With reference to the comparison process data, construction protection is strengthened or construction operation is changed for the construction phase that meets the construction safety warning conditions.

[0083] The adjusting of the construction material data includes:

[0084] With reference to the comparison process data, structural improvements or material changes are made to the construction phases that meet the construction structure warning conditions.

[0085] With reference to the comparison process data, resource allocation optimization is performed for the construction phase that meets the construction budget warning conditions.

[0086] In this embodiment, when adjusting the construction process data, the process data is compared with the construction environment data (such as weather conditions, geological conditions, etc.) and the detailed construction process data (such as the name of the construction stage, the estimated start time, the estimated end time, etc.) are combined to optimize the construction stages that meet the construction delay warning conditions and construction safety warning conditions. For example, for the construction stage that may be delayed due to weather changes, the estimated construction time is adjusted according to the weather forecast or the construction start time is advanced; for the construction stage with potential safety hazards, the construction protection is strengthened or the construction operation is changed according to the geological conditions and lighting conditions.

[0087] In addition, the allocation of construction resource information (such as human resources, equipment resources, and material resources) is also considered to ensure that the optimized construction process can be executed efficiently and safely. This setting ensures the dual improvement of construction efficiency and safety. The data processing process includes identifying early warning conditions, formulating optimization measures based on construction environment data and construction process data, and implementing optimization. The technical effect is that by accurately adjusting the construction process and comprehensively considering the construction environment data and resource allocation, it can effectively avoid construction delays and safety accidents, and improve the overall construction efficiency and quality.

[0088] In one embodiment, the condition for satisfying the construction safety warning condition is that the safety value of the construction stage is less than or equal to a preset safety threshold, and the safety value is obtained by calculating the construction environment data, the height of the construction location, the protection strength of the construction location, and the safety factor corresponding to the construction stage.

[0089] In this embodiment, the determination of construction safety warning conditions is based on a comprehensive calculation of construction environment data, the height of the construction location, the protection strength of the construction location, and the safety factor corresponding to the construction stage. The calculation method of the safety value not only takes into account the historical accident frequency and the safety score of the construction operation, but also combines the impact of the construction environment data (such as geological conditions, weather conditions, etc.) on construction safety. By counting the historical accident frequency, assigning construction operation safety scores, and superimposing the total safety value, the safety of the construction stage can be evaluated more scientifically. In addition, the impact of the material type, specification, and amount in the construction material data on construction safety is also considered to ensure the accuracy and comprehensiveness of the safety assessment. As needed, the safety threshold can be pre-set, calculated for each construction stage, or input and set by the designer for each construction stage.

[0090] The purpose of setting safety values ​​is to more scientifically evaluate the safety of the construction phase and ensure construction safety in a complex and ever-changing construction environment. The data processing process includes data collection (such as construction environment data, construction process data, construction material data, etc.), statistical analysis, safety score assignment and safety total value calculation. The technical effect is that by introducing scientific safety assessment methods and comprehensively considering multiple factors, potential safety hazards can be discovered and dealt with in a timely manner, providing a strong guarantee for the safety of construction personnel.

[0091] In one embodiment, the safety value is calculated as follows:

[0092] The accident frequency corresponding to each construction operation is counted in the historical construction database, and the construction operations are sorted from low to high according to the accident frequency.

[0093] Assign each construction operation a safety score from high to low according to the sorting order.

[0094] Analyze the construction operations included in each construction stage, and calculate the total safety value by adding up the safety scores of all construction operations in each construction stage.

[0095] The safety factor corresponding to each construction stage is determined according to the total safety value.

[0096] In this embodiment, the construction prediction model is continuously optimized and the construction process simulation is performed in combination with the construction environment data, construction process data and construction material data. By comparing the historical construction data with the actual situation of the current construction project, the construction process, material usage and resource allocation plan are continuously adjusted and optimized.

[0097] If the warning calibration of all construction stages is eliminated, the adjustment of the construction process simulation is stopped. This cyclic optimization process is set up to ensure the feasibility and optimality of the construction plan. During the optimization process, the weather conditions, geological conditions and lighting conditions in the construction environment data, as well as the resource allocation conditions such as the estimated start time, estimated end time, and estimated construction duration in the construction process data are fully utilized to comprehensively and carefully optimize the construction plan. The data processing process includes model adjustment (based on a comprehensive analysis of construction environment data, construction process data, and construction material data), process simulation (simulation analysis combined with actual conditions), warning judgment (based on safety assessment results) and optimization suggestion generation (proposing specific improvement plans for existing problems).

[0098] Through continuous iterative optimization and comprehensive consideration of multiple factors, a construction plan that better meets actual construction needs can be obtained, which can improve construction efficiency and quality while reducing construction costs and risks. In addition, the generation of optimization suggestions also provides construction personnel with specific improvement directions and methods, which helps to further improve construction results.

[0099] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0100] like Figure 3 The figure shows a hardware structure diagram of a computer device of the present invention, including a memory 302, a processor 301 and a computer program on the memory 302, and the processor 301 executes the computer program to implement the steps of the construction site early warning method of any of the above embodiments.

[0101] Figure 3 A processor 301 is taken as an example.

[0102] The computer device may further include: an input device 303 and a display device 304 .

[0103] The processor 301, the memory 302, the input device 303 and the display device 304 may be connected via a bus or other means, and the figure takes the connection via a bus as an example.

[0104] The memory 302 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the construction site early warning method in the embodiment of the present application. The processor 301 executes various functional applications and data processing by running the non-volatile software programs, instructions and modules stored in the memory 302, that is, implementing the construction site early warning method in the above embodiment.

[0105] The memory 302 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required by at least one function; the data storage area may store data created according to the use of the construction site early warning method, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 302 may optionally include a memory remotely arranged relative to the processor 301, and these remote memories may be connected to the device for executing the construction site early warning method via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0106] The input device 303 can receive user clicks and generate signal inputs related to user settings and function control of the construction site early warning method. The display device 304 can include display devices such as a display screen.

[0107] The one or more modules are stored in the memory 302 , and when executed by the one or more processors 301 , the construction site early warning method in any of the above method embodiments is executed.

[0108] When the computer device disclosed in the present invention is running, it can execute all the steps of the above-mentioned construction site early warning method, by performing comprehensive data processing on construction environment data, building site image data, construction process data, construction material data and building design drawings, and constructing a more accurate construction prediction model through multi-dimensional data, and then simulate the construction process, judge the construction problems based on the simulation results, and issue corresponding early warnings for each construction stage to remind designers and assist them in optimizing the design of the construction process.

[0109] An embodiment of the present invention provides a computer-readable storage medium, which stores a computer program / instruction. When the computer program / instruction is executed by the processor 301, all steps of the construction site early warning method as described above are implemented.

[0110] In the context of the present disclosure, a storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. The storage medium may be a machine-readable signal medium or a machine-readable storage medium. Alternatively, the storage medium may be a non-temporary computer-readable storage medium, for example, a non-temporary computer-readable storage medium may be a ROM, a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc ROM, CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0111] An embodiment of the present invention provides a computer program product, including a computer program / instruction, which implements the steps of the construction site early warning method as described above when executed by a processor.

[0112] By running the above-mentioned computer program product, all steps of the construction site early warning method as described above can be executed, by performing comprehensive data processing on the construction environment data, building site image data, construction process data, construction material data and building design drawings, a more accurate construction prediction model is constructed through multi-dimensional data, and then the construction process is simulated. The simulation results are used to determine the problems in the construction, and corresponding early warnings are issued for each construction stage to remind designers and assist them in optimizing the design of the construction process.

[0113] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A construction site early warning method, characterized in that: include: Obtain construction environment data, construction site image data, construction process data, construction material data and building design drawings; constructing a three-dimensional building model according to the construction site image data and the building design drawing, and combining the three-dimensional building model with the construction process data and the construction material data to generate a construction prediction model; The construction process is simulated by using the construction prediction model, each construction stage is divided, and the process simulation result is obtained; According to the process simulation results and the historical construction database, determining whether each construction stage meets the construction structure warning condition, the construction budget warning condition, the construction delay warning condition and / or the construction safety warning condition; The construction stages are calibrated according to the early warning conditions met and corresponding early warnings are issued.

2. The construction site early warning method according to claim 1, characterized in that: Also includes: Selecting the construction project with the highest similarity from the historical construction database as a comparison construction project according to the three-dimensional model; Acquire historical construction data corresponding to the compared construction project, adjust the construction prediction model according to the historical construction data, and obtain an optimized construction model; Re-simulating the construction process through the optimized construction model, and if the early warning calibration of all construction stages is eliminated, then stopping the adjustment of the construction process simulation; Based on the data of the optimized construction model, optimization suggestions are made for each construction stage.

3. The construction site early warning method according to claim 2, characterized in that: The obtaining of historical construction data corresponding to the compared construction project, adjusting the construction prediction model according to the historical construction data, and obtaining an optimized construction model includes: Analyze the historical construction data corresponding to the comparison construction project to obtain comparison process data and comparison material data; Comparing the comparison process data with the construction process data to obtain a process difference value; Comparing the comparison material data with the construction material data to obtain a material difference value; If the process difference value is greater, adjusting the construction process data; If the material difference value is greater, adjusting the construction material data; The construction prediction model is modified according to the adjusted construction process data and / or the construction material data to obtain an optimized construction model.

4. The construction site early warning method according to claim 3 is characterized in that: The adjusting of the construction process data includes: Referring to the comparison process data, shorten the estimated construction time or advance the construction start time for the construction phase that meets the construction delay warning conditions; Referring to the comparison process data, strengthening construction protection or changing construction operations are performed at the construction stage that meets the construction safety warning conditions; The adjusting of the construction material data includes: Referring to the comparison process data, structural improvements or material changes are made to the construction phase that meets the construction structure warning conditions; With reference to the comparison process data, resource allocation optimization is performed for the construction phase that meets the construction budget warning conditions.

5. The construction site early warning method according to claim 1, characterized in that: The condition for satisfying the construction safety warning condition is that the safety value of the construction stage is less than or equal to a preset safety threshold, and the safety value is obtained by calculating the construction environment data, the height of the construction location, the protection strength of the construction location and the safety factor corresponding to the construction stage.

6. The construction site early warning method according to claim 5, characterized in that: The safety value is calculated as follows: Counting the accident frequency corresponding to each construction operation in the historical construction database, and sorting the construction operations from low to high according to the accident frequency; Assign safety scores from high to low to each construction operation according to the sorting order; Analyze the construction operations included in each construction stage, and calculate the total safety value obtained by adding up the safety scores of all construction operations in each construction stage; The safety factor corresponding to each construction stage is determined according to the total safety value.

7. The construction site early warning method according to any one of claims 1 to 6, characterized in that: The construction environment data is the environmental data of a specified construction period obtained through real-time detection and weather forecast, and the construction environment data includes weather condition data, geological condition data and light condition data. The weather condition data includes temperature information, humidity information, wind speed information and rainfall information. The geological condition data includes soil type information, groundwater level information and rock layer distribution information. The light condition data includes light intensity information, light angle information and light duration information. The construction process data includes the name of the construction stage, the estimated start time, the estimated end time, the estimated construction duration, the estimated work and rest time, and the construction resource information, and the construction resource information includes human resources, equipment resources, and material resources; The construction material data includes material logistics information, material type information, material specification information and material usage information.

8. A computer device comprising a memory, a processor and a computer program on the memory, characterized in that: The processor executes the computer program to implement the steps of the construction site early warning method described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of the construction site early warning method described in any one of claims 1-7 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the construction site early warning method described in any one of claims 1-7 are implemented.

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