Digital construction platform

Abstract

The invention discloses a digital construction platform, and relates to the field of digital construction. The platform comprises a climate data module, a plan making module, a weather monitoring module, a first adjustment module, a cost determination module, a cost optimization module and a second adjustment module. The climate data module is used for acquiring historical climate data of a high-altitude area where a construction project is located; the plan making module is used for setting a project construction plan according to historical climate data; the weather monitoring module is used for acquiring future weather forecast data; the first adjusting module is used for adjusting a project construction plan according to the weather forecast data; the cost determination module is used for determining first construction cost according to the first project construction plan; the cost optimization module is used for providing cost optimization suggestions when the cost exceeds the budget; and the second adjustment module is used for adjusting the first project construction plan according to the cost optimization suggestion to obtain a second project construction plan. The construction efficiency and the cost control of the high altitude area can be ensured, and the project can be smoothly carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of digital construction, and particularly to a digital construction platform. Background Art

[0002] The construction industry is still a traditional labor-intensive industry at the present stage, and the construction method is relatively backward. Especially in high-altitude areas, the challenges faced by construction projects are more severe, and the traditional construction method has been unable to effectively cope with the environmental conditions of construction in high-altitude areas.

[0003] Due to the extreme climatic conditions in high-altitude areas, such as drastic temperature changes, strong winds and unstable precipitation, it has a significant impact on the construction progress and quality. Moreover, the complex terrain conditions in high-altitude areas pose great difficulties to construction.

[0004] These factors not only increase the complexity of construction, but also significantly increase the overall cost of the project. Summary of the Invention

[0005] Aiming at the above technical problems and defects, the purpose of the present invention is to provide a digital construction platform, which can ensure the construction efficiency in high-altitude areas, effectively control costs, and ensure the smooth progress of the project plan.

[0006] To achieve the above object, the present invention provides a digital construction platform, including a climate data module, a plan formulation module, a weather monitoring module, a first adjustment module, a cost determination module, a cost optimization module and a second adjustment module; the climate data module is used to obtain the historical climate data of the high-altitude area where the construction project is located; the plan formulation module is used to set the project construction plan according to the historical climate data; the weather monitoring module is used to obtain the weather forecast data of the high-altitude area within a preset future time; the first adjustment module is used to adjust the project construction plan according to the weather forecast data to obtain a first project construction plan; the cost determination module is used to determine the first construction cost according to the first project construction plan; the cost optimization module is used to provide cost optimization suggestions when the first construction cost exceeds the budget cost; the second adjustment module is used to adjust the first project construction plan according to the cost optimization suggestions after the cost optimization suggestions are confirmed to obtain a second project construction plan, and the second construction cost of the second project construction plan is lower than or equal to the budget cost.

[0007] By integrating climate data analysis, intelligent construction plan adjustment, real-time weather monitoring, and cost optimization technologies, the present invention significantly improves the management efficiency and economy of construction projects. The digital construction platform uses a climate data module to obtain and analyze historical climate data, and a plan formulation module sets a reasonable construction plan based on this to ensure that construction activities are adapted to natural conditions. Meanwhile, a weather monitoring module obtains future weather forecasts in real time, and a first adjustment module adjusts the construction plan based on this to optimize the construction schedule and resource allocation. A cost determination module and a cost optimization module ensure the smooth completion of the project within the budget by dynamically monitoring and adjusting construction costs. In addition, after the cost optimization suggestions are confirmed, a second adjustment module further adjusts the construction plan to ensure that the construction cost is controlled within the budget. Overall, through intelligent management and optimization, the digital construction platform effectively reduces the complexity and cost of construction projects in high-altitude areas, and improves the safety and reliability of construction.

[0008] In some embodiments, the first construction cost includes a first logistics cost, a first material cost, and a first human resource cost, and the cost determination module includes a logistics cost determination module, a material cost determination module, and a human resource cost determination module; the logistics cost determination module is used to determine the logistics transportation route and method according to the first project construction plan, and determine the first logistics cost according to the logistics price in the high-altitude area and the logistics transportation route and method; the material cost determination module is used to determine the material demand according to the first project construction plan, and determine the first material cost according to the material loss rate in the high-altitude area and the material demand; the human resource cost determination module is used to determine the total man-hours according to the first project construction plan, and determine the first human resource cost according to the labor price, work efficiency in the high-altitude area, and the total man-hours.

[0009] By adopting the technical solution provided by the above embodiment, through subdividing the cost determination module, refined management of construction costs is achieved. The separate calculation of logistics, material, and human resource costs enables the project team to more accurately predict and control costs, optimize resource allocation, reduce waste, and improve the transparency of construction costs and the accuracy of the budget.

[0010] In some embodiments, the cost optimization module is specifically used to generate optimization suggestions for the first logistics cost, the first material cost, and the first human resource cost according to the difference between the first construction cost and the budget cost.

[0011] By adopting the technical solution provided by the above embodiment, the cost optimization module provides an intelligent coping strategy for the project when it exceeds the budget. By analyzing the reasons for cost overruns and putting forward specific optimization suggestions, the project team can timely adjust resource allocation and construction plans, effectively control costs, and avoid financial risks.

[0012] In some embodiments, the digital construction platform further includes a safety monitoring module, which is used to identify the human body image of a worker from the monitoring video of a construction site at high altitude and determine whether the worker has altitude sickness based on the human body image.

[0013] By adopting the technical solution provided by the above embodiment, the safety monitoring module significantly improves the safety management level of the construction environment at high altitude. By monitoring the behavior of workers in real time and identifying altitude sickness, health risks can be detected early, preventive or emergency measures can be taken to ensure the safety of workers and reduce the occurrence of accidents.

[0014] In some embodiments, the safety monitoring module is specifically used to obtain the real-time behavior characteristics of the worker from the human body image, compare the real-time behavior characteristics with the altitude sickness behavior characteristic library to obtain the altitude sickness matching degree, and determine whether the worker has altitude sickness based on the altitude sickness matching degree.

[0015] By adopting the technical solution provided by the above embodiment, by specifying the function of the safety monitoring module, the recognition accuracy of altitude sickness is enhanced. The acquisition and comparison of real-time behavior characteristics improve the early warning speed of the reaction, which helps to implement faster medical intervention and reduce the incidence of altitude sickness.

[0016] In some embodiments, the digital construction platform further includes an alarm module, which is connected to the safety monitoring module and is used to receive the alarm signal generated by the safety monitoring module when it determines that the worker has altitude sickness, and send out an alarm prompt message according to the alarm signal.

[0017] By adopting the technical solution provided by the above embodiment, the alarm module ensures that an alarm can be quickly issued when altitude sickness is detected, improving the on-site response efficiency. This instant alarm mechanism provides valuable response time for emergencies and enhances the safety guarantee of the construction site.

[0018] In some embodiments, the digital construction platform further includes a data storage module, which is used to store the monitoring video.

[0019] By adopting the technical solution provided by the above embodiment, the data storage module provides important video records and data backups for construction projects. The stored data can be used for accident analysis, training, historical review and process improvement, enhancing the traceability and continuous improvement ability of project management.

[0020] In some embodiments, the digital construction platform further includes an equipment monitoring module, which is used to obtain the equipment status information of construction equipment and determine whether the construction equipment needs maintenance according to the equipment status information.

[0021] Adopting the technical solution provided by the above embodiment, the equipment monitoring module reduces the unexpected downtime, improves the equipment utilization efficiency and lifespan, and simultaneously reduces the maintenance cost and potential failure risk by monitoring the status of construction equipment in real time and predicting the maintenance requirements.

[0022] In some embodiments, the equipment monitoring module is specifically configured to determine the maintenance plan and maintenance time of the construction equipment according to the weather forecast data and the equipment status information.

[0023] Adopting the technical solution provided by the above embodiment, by combining the weather forecast and the equipment status information, a scientific basis is provided for equipment maintenance. This intelligent maintenance plan and scheduling optimize the allocation of maintenance resources, reduce equipment damage caused by weather changes, and ensure the continuity and stability of construction.

[0024] In some embodiments, the digital construction platform further includes a vital sign monitoring module, which is configured to determine whether a worker has altitude sickness according to the vital sign data of the worker in the high-altitude area, and the vital sign data is collected by the intelligent wearable device of the worker.

[0025] Adopting the technical solution provided by the above embodiment, the vital sign monitoring module monitors the vital signs of workers in real time through intelligent wearable devices, providing data support for the early detection and intervention of altitude sickness. This real-time health monitoring enhances the safety guarantee of individual workers and improves the overall health status of the construction team.

[0026] One or more technical solutions provided by the present invention have at least the following technical effects or advantages: 1. Cost control and optimization: The digital construction platform realizes the refined management of construction costs through the cost determination module and the cost optimization module. The separate calculation of logistics, material, and human resource costs and the generation of optimization suggestions enable the project team to more accurately predict and control costs, timely adjust resource allocation and construction plans, effectively control budget overruns, and improve the economic efficiency of the project.

[0027] 2. Construction safety management: The safety monitoring module and the alarm module of the platform significantly improve the safety management level in the high-altitude construction environment. By monitoring the behavior of workers in real time and identifying altitude sickness, health risks can be detected early, alarms can be issued quickly, and preventive or emergency measures can be taken to ensure the safety of workers, reduce accidents, and ensure the smooth progress of the construction process.

[0028] 3. Equipment Maintenance and Health Monitoring: The equipment monitoring module and the physical sign monitoring module provide real-time monitoring and management for construction equipment and workers' health. The equipment monitoring module analyzes equipment status and weather forecast data to optimize maintenance plans and schedules, reducing equipment failures and downtime. The physical sign monitoring module monitors workers' vital signs through intelligent wearable devices, promptly detects signs of altitude sickness, safeguards workers' health, and enhances the overall health status and construction continuity of the construction team. Brief Description of the Drawings

[0029] The drawings here are incorporated into and form a part of this specification, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts. In the drawings: Figure 1 is an architecture diagram of a digital construction platform according to an embodiment of the present invention; Figure 2 is an architecture diagram of another digital construction platform according to an embodiment of the present invention. Detailed Embodiments

[0030] The terms used in the following embodiments of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention, the singular forms "a", "an", "above-mentioned", "the", and "this" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present invention refers to any or all possible combinations including one or more of the listed items.

[0031] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present invention, unless otherwise stated, the meaning of "a plurality" is two or more.

[0032] It should also be noted that, unless otherwise clearly specified and limited, in the embodiments of the present invention, terms such as "set" and "connect" should be understood in a broad sense. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components; it can be a wired communication connection or a wireless communication connection. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The embodiments of the present invention will be specifically described below.

[0033] When carrying out construction projects in high-altitude areas, construction teams must face a series of unique challenges, which often make the construction process extremely complex and costly. First of all, the extreme climatic conditions in high-altitude areas pose significant obstacles to construction activities. Severe temperature fluctuations require construction materials and equipment to be able to withstand extreme thermal expansion and contraction, while strong winds may pose a threat to construction safety, especially during high-altitude operations. In addition, unstable precipitation patterns may cause the construction site to become muddy, increasing the risk of construction equipment getting stuck and also affecting the quality and durability of construction materials.

[0034] In addition to climatic factors, the complex terrain in high-altitude areas also brings additional difficulties to construction. Steep mountains, steep slopes and unstable soil conditions make the transportation of construction equipment and materials extremely difficult. This not only increases logistics costs but may also lead to delays in the construction schedule. In some cases, traditional transportation methods may be completely infeasible and more expensive alternatives such as helicopter or pack animal transportation need to be adopted.

[0035] These logistics challenges, combined with the possible lack of infrastructure such as roads and bridges in high-altitude areas, further exacerbate the construction difficulties. Construction teams must invest additional resources in building and maintaining temporary transportation routes, which undoubtedly increases the overall cost of the project. At the same time, health risks such as altitude sickness that may exist in high-altitude areas also require construction teams to provide additional health monitoring and support for workers, which also requires additional costs and resources.

[0036] In summary, construction projects in high-altitude areas not only need to consider the adaptability of construction technologies and materials but also need to comprehensively consider various factors such as logistics, health and safety. The combined effect of these factors makes construction projects in high-altitude areas face huge challenges in terms of planning, execution and cost control. Therefore, the development and adoption of innovative construction technologies and management methods are crucial for ensuring the success of these projects.

[0037] Accordingly, the embodiment of the present invention provides a digital construction platform, which significantly improves the management efficiency and economy of construction projects by integrating climate data analysis, intelligent construction plan adjustment, real-time weather monitoring, and cost optimization technologies. The digital construction platform uses a climate data module to obtain and analyze historical climate data, and a plan formulation module sets a reasonable construction plan accordingly to ensure that construction activities are adapted to natural conditions. At the same time, a weather monitoring module obtains future weather forecasts in real time, and a first adjustment module adjusts the construction plan accordingly to optimize the construction schedule and resource allocation. A cost determination module and a cost optimization module ensure the successful completion of the project within the budget by dynamically monitoring and adjusting construction costs. In addition, after the cost optimization suggestions are confirmed, a second adjustment module further adjusts the construction plan to ensure that the construction cost is controlled within the budget. Overall, through intelligent management and optimization, the digital construction platform effectively reduces the complexity and cost of construction projects in high-altitude areas and improves the safety and reliability of construction.

[0038] As Figure 1 shown, the digital construction platform of this embodiment includes a climate data module 101, a plan formulation module 102, a weather monitoring module 103, a first adjustment module 104, a cost determination module 105, a cost optimization module 106, and a second adjustment module 107. Each functional module will be specifically introduced below.

[0039] In this embodiment, the climate data module 101 is used to obtain the historical climate data of the high-altitude area where the construction project is located.

[0040] Specifically, the climate data module 101 is responsible for collecting and analyzing the historical climate data of the high-altitude area where the construction project is located. The historical climate data includes key climate parameters such as temperature, humidity, wind speed, precipitation, and sunshine duration. These data can be obtained from local meteorological departments or third-party data agencies in high-altitude areas. High-altitude areas include regions where the altitude exceeds a set upper limit, such as areas with an altitude exceeding 1 kilometer or 2 kilometers.

[0041] By deeply analyzing these data, climate patterns and potential risk points can be identified, providing a scientific basis for the formulation of construction plans. The monthly average temperature and precipitation in the past few years can be analyzed to predict extreme weather events that may occur in a specific season, thereby helping the construction team prepare countermeasures in advance to ensure the smooth progress of construction activities and reduce risks and delays caused by weather changes. For example, during winter construction, this module can predict extreme low-temperature events and help the construction team prepare thermal insulation materials and adjust construction methods in advance to prevent materials from freezing or structures from being damaged.

[0042] In this embodiment, the plan formulation module 102 is used to set the project construction plan according to the historical climate data.

[0043] Specifically, the plan - making module 102 sets the project construction plan by deeply analyzing historical climate data to ensure that the construction activities can proceed smoothly and meet the expected goals. The plan - making module 102 first receives the historical climate data of the high - altitude area from the climate data module 101. Through this data, the plan - making module 102 can identify the climate characteristics and trends in different seasons and different time periods.

[0044] For example, when analyzing the climate data in spring, the plan - making module 102 may find that a certain area has higher precipitation and lower temperature in spring, which will affect the drying and curing process of construction materials. Therefore, the plan - making module 102 will suggest arranging the construction of materials that require a longer drying time in seasons with lower precipitation, or taking additional protective measures during spring construction, such as covering materials with waterproof cloth to prevent rain from affecting the construction quality.

[0045] Furthermore, the plan - making module 102 also considers the specific requirements of construction activities and construction methods. For example, some construction activities may need to be carried out in a dry and warm environment, while other activities may have less strict requirements for humidity and temperature. The module will optimize the sequence and schedule of construction activities according to these requirements to ensure the continuity and efficiency of the construction process.

[0046] In addition, the plan - making module 102 also closely collaborates with the cost - determination module 105 and the cost - optimization module 106 to evaluate the cost - effectiveness of different construction plans. By analyzing the costs and benefits of different construction plans under different climate conditions, the module can propose the most economical and effective construction plan. For example, if the analysis shows that the construction cost will increase significantly in a certain season, the module will suggest adjusting the construction plan, postponing or advancing some construction activities to avoid construction during the peak - cost period.

[0047] The plan - making module 102 also has flexibility and can dynamically adjust the construction plan according to real - time weather monitoring data and feedback on the construction progress. This dynamic adjustment ability enables the construction team to quickly respond to weather changes and other unforeseen factors, timely adjust the construction strategy, and ensure that the construction activities are always under control. Through this way of plan - making that comprehensively considers climate, resources, costs, and progress, the digital construction platform can significantly improve the management efficiency and economy of construction projects, reducing delays and cost overruns caused by weather and resource problems.

[0048] In this embodiment, the weather monitoring module 103 is used to obtain the weather forecast data of the high - altitude area within a preset future time.

[0049] Specifically, the weather monitoring module 103, through close cooperation with meteorological service agencies, utilizes their weather forecasting technologies and equipment to obtain real-time weather forecast data for the high-altitude area within a preset future time. This module not only relies on key climate parameters such as temperature, humidity, wind speed, and precipitation provided by ground meteorological stations and satellite remote sensing systems, but also may integrate artificial intelligence algorithms to predict and analyze extreme weather events that may affect construction activities. Through this real-time monitoring and prediction, the module can provide accurate weather information to the construction team, helping them adjust the construction plan in a timely manner to ensure that construction activities are guaranteed in terms of both safety and efficiency. For example, if the prediction shows that there will be strong winds or heavy rain in the coming days, the weather monitoring module 103 will notify the construction team in a timely manner, enabling them to take preventive measures in advance, such as strengthening temporary structures or adjusting the work arrangements of construction personnel, so as to avoid construction delays and safety risks.

[0050] In this embodiment, the first adjustment module 104 is used to adjust the project construction plan according to the weather forecast data to obtain the first project construction plan.

[0051] Specifically, the first adjustment module 104 dynamically adjusts the construction plan according to the real-time weather forecast data provided by the weather monitoring module 103. The first adjustment module 104 evaluates the specific impact of these changes on construction activities by analyzing upcoming weather changes, such as temperature fluctuations, precipitation, wind speed, etc. For example, if the weather forecast indicates that there will be strong winds or heavy rain in the coming days, the first adjustment module 104 will recommend suspending or postponing outdoor construction activities and instead arranging indoor operations or strengthening construction equipment to ensure construction safety. At the same time, this module will also consider the transportation and storage conditions of construction materials and adjust the logistics arrangements to avoid damage to materials due to the weather. Through this flexible plan adjustment, the first adjustment module 104 can ensure that construction activities can proceed smoothly under various weather conditions, thereby obtaining a first project construction plan that takes into account weather factors and guarantees the construction progress and quality.

[0052] In this embodiment, the cost determination module 105 is used to determine the first construction cost according to the first project construction plan.

[0053] Specifically, the cost determination module 105 is a key component in the digital construction platform that is specifically responsible for calculating the construction cost based on the first project construction plan. The cost determination module 105 conducts a detailed cost analysis by integrating all relevant activities and resource requirements in the construction plan, such as materials, labor, equipment rental, transportation, and logistics. It uses advanced cost estimation tools and algorithms to convert these requirements into specific financial data, thereby obtaining the preliminary construction cost. For example, the cost determination module 105 will calculate the procurement cost of specific materials, the wages and benefits of workers, the rental cost of construction equipment, and the transportation and logistics costs that may occur during the construction period. In addition, the cost determination module 105 will also consider the time schedule and weather impact in the construction plan, and evaluate the potential impact of these factors on the cost, such as the additional labor and material costs caused by weather delays. Through this comprehensive and detailed cost analysis, the cost determination module 105 can provide a clear and accurate overview of the first construction cost for the project management team, providing a solid foundation for subsequent cost control and optimization.

[0054] In this embodiment, the cost optimization module 106 is used to provide cost optimization suggestions when the first construction cost exceeds the budget cost.

[0055] Among them, the cost optimization suggestions are a series of specific measures and strategies proposed by the cost optimization module 106 after analyzing that the first construction cost exceeds the budget, aiming to help the project team effectively reduce the construction cost by means of adjusting the construction plan, improving material procurement, optimizing human resource allocation, improving logistics transportation, adopting more economical construction methods, etc., while ensuring that the construction quality and safety are not affected, so that the project can be successfully completed within the budget. The cost optimization suggestions can include, but are not limited to, selecting materials with higher cost-effectiveness, adjusting the construction time to avoid high-cost periods, adopting more efficient construction technologies, reducing waste, and obtaining more favorable supplier contracts through negotiation.

[0056] Specifically, when the first construction cost exceeds the budget, the cost optimization module 106 helps the project team effectively control and reduce costs through a series of refined analyses and suggestions. When the first construction cost calculated by the cost determination module 105 exceeds the budget, the cost optimization module 106 is immediately activated to conduct an in-depth cost-benefit analysis. It first evaluates each link in the construction plan to identify the main reasons for cost overruns, such as material procurement, labor costs, equipment rental, logistics transportation, etc.

[0057] Next, the cost optimization module 106 will put forward a series of specific cost optimization suggestions. In terms of material procurement, it may suggest choosing alternative materials with higher cost performance, or reducing the unit price through bulk purchasing and long-term contracts. In terms of labor costs, it may suggest optimizing the labor allocation, improving the work efficiency of workers, or adopting flexible employment strategies such as temporary workers or outsourcing services during non-critical periods. For equipment leasing, the module may recommend using more economical equipment or adjusting the lease time to reduce unnecessary cost expenditures.

[0058] Logistics transportation is also a key point of cost optimization. The cost optimization module 106 will analyze the transportation routes and methods and put forward more economical logistics solutions, such as utilizing local resources or changing the transportation mode to reduce transportation costs and time. In addition, this module will also consider the improvement of construction methods and techniques and put forward innovative construction plans to improve construction efficiency and reduce rework and waste.

[0059] While providing cost optimization suggestions, the cost optimization module 106 will also consider the feasibility of the construction plan and the construction quality to ensure that the optimization measures will not affect the construction safety and project quality. Through close communication and collaboration with the project team, the cost optimization module 106 can ensure that all suggestions are fully discussed and evaluated, and finally form an optimization plan that can meet the budget requirements while ensuring the construction progress and quality. This optimization strategy that comprehensively considers cost, efficiency, and quality enables the digital construction platform to control costs while maintaining high standards and high benefits of the project.

[0060] In this embodiment, the second adjustment module 107 is used to adjust the first project construction plan according to the cost optimization suggestion after the cost optimization suggestion is confirmed, so as to obtain a second project construction plan, and the second construction cost of the second project construction plan is lower than or equal to the budget cost.

[0061] Specifically, after the above-mentioned cost optimization suggestions are confirmed by the project manager, the second adjustment module 107 makes necessary adjustments to the first project construction plan according to these suggestions to generate a second project construction plan. The second adjustment module 107 first carefully checks the specific content of the cost optimization suggestions, including aspects such as material replacement, construction method improvement, human resource adjustment, and logistics optimization. Then, it conducts a comparative analysis of these suggestions with the existing construction plan to determine which activities need to be rearranged, which resources need to be reallocated, and which construction methods need to be changed.

[0062] For example, if the cost optimization suggestion includes using more economical alternative materials, the second adjustment module 107 will evaluate the impact of such materials on the construction quality and progress, and accordingly adjust the construction plan to ensure that the use of the new materials will not affect the overall quality and safety standards of the project. If the suggestion involves adjusting the construction time or sequence, the module will re-arrange the construction activities to ensure that the construction activities can proceed smoothly without incurring additional costs. In addition, the second adjustment module 107 will also consider the feedback from the construction team and the actual situation on site to ensure that the adjusted construction plan is both economical and feasible.

[0063] During the adjustment process, the second adjustment module 107 will also closely cooperate with the cost determination module 105 to recalculate the adjusted construction cost to ensure that the new construction plan can control the cost within the budget, that is, the second construction cost is lower than or equal to the budget cost. This dynamic adjustment not only helps to reduce costs, but also improves construction efficiency and flexibility, enabling the project to better cope with unforeseen changes and challenges. Ultimately, the second project construction plan generated by the second adjustment module 107 will be an optimized solution that comprehensively considers cost, time, quality, and resources, ensuring that the construction project can be successfully completed within the budget while meeting the expected quality and safety standards.

[0064] In some embodiments, the first construction cost includes a first logistics cost, a first material cost, and a first labor cost. As Figure 2 shown, the cost determination module 105 includes a logistics cost determination module 1051, a material cost determination module 1052, and a labor cost determination module 1053.

[0065] The logistics cost determination module 1051 is used to determine the logistics transportation route and method according to the first project construction plan, and determine the first logistics cost according to the logistics price in the high-altitude area and the logistics transportation route and method Specifically, the logistics cost determination module 1051 first analyzes the key parameters such as the type, quantity, weight, and volume of the required materials according to the materials and equipment requirements listed in the first project construction plan. Then, it considers the unique geographical and climatic conditions in the high-altitude area to determine the most suitable transportation route and method, such as whether to use roads, railways, aviation, or special transportation tools such as mules or helicopters. Next, the module will calculate the transportation cost according to these transportation routes and methods, as well as the logistics price in the high-altitude area. This includes the rental fee, fuel cost, labor cost, and possible insurance cost of the transportation tools. By comprehensively considering transportation efficiency, cost, and safety, the logistics cost determination module 1051 can provide an accurate estimate of the first logistics cost for project managers to ensure cost control and optimization in the logistics link.

[0066] The material cost determination module 1052 is used to determine the material demand according to the first project construction plan, and determine the first material cost according to the material loss rate in the high-altitude area and the material demand.

[0067] Specifically, the material cost determination module 1052 first analyzes in detail the types, specifications and quantities of materials required in each construction stage according to the first project construction plan. It comprehensively considers construction drawings, bill of quantities and construction methods to ensure the accuracy of material requirements. Then, the module evaluates the material loss rate unique to high-altitude areas, which may include losses during transportation, natural losses during construction, and additional losses due to harsh weather conditions. Finally, combining the market price and demand of materials, as well as the adjustment considering the material loss rate, the material cost determination module 1052 calculates the first material cost. This cost not only includes the purchase cost of materials, but may also cover related costs such as transportation, storage and insurance, providing a comprehensive and accurate material cost budget for project managers to help them effectively control material costs and optimize resource allocation.

[0068] The human resources cost determination module 1053 is used to determine the total man-hours according to the first project construction plan, and determine the first human resources cost according to the labor price, work efficiency of workers in the high-altitude area and the total man-hours.

[0069] Specifically, the human resources cost determination module 1053 first analyzes the different types of work, skill levels and work contents required during the construction process according to the first project construction plan to determine the total man-hours required to complete the project. It details the human resources requirements in each construction stage, including foundation construction, structure erection, decoration and other links. Then, the module considers the local labor price of workers in high-altitude areas, which may be higher than that in plain areas due to remote geographical location and harsh working environment. At the same time, it also evaluates the work efficiency of workers, which may be affected by the physiological effects of high altitude, such as the decline in labor ability caused by hypoxia. Finally, the human resources cost determination module 1053 combines the total man-hours, labor price and work efficiency of workers to calculate the first human resources cost. This cost includes the wages directly paid to workers, overtime pay, benefits, insurance, as well as possible training and accommodation costs, etc., ensuring that project managers can comprehensively understand the composition of labor costs, reasonably plan human resources, and effectively control labor cost expenditures.

[0070] In some embodiments, the cost optimization module 106 is specifically used to generate optimization suggestions for the first logistics cost, the first material cost and the first human resources cost according to the difference between the first construction cost and the budget cost.

[0071] Specifically, the cost optimization module 106 first analyzes each component of the first construction cost, namely, logistics cost, material cost, and labor cost, compares them with the budget cost, and finds the specific areas where the cost overruns. Then, based on the difference analysis results, the cost optimization module 106 will propose a series of practical optimization suggestions.

[0072] Next, the cost optimization module 106 will propose a series of optimization measures for each cost item with overruns. For logistics cost, the module may suggest re-evaluating the transportation route, adopting a more economical transportation method, or adjusting the transportation time to reduce the additional costs during peak hours. In terms of material cost, the module may recommend using alternative materials with lower costs, purchasing in bulk to obtain discounts, or improving material management to reduce waste. As for labor cost, the module may suggest adjusting the labor allocation, improving the work efficiency of workers, or adopting flexible employment strategies such as temporary workers or outsourcing services.

[0073] In addition, the cost optimization module 106 will also consider the overall efficiency of the construction plan and propose suggestions for adjusting the construction sequence or method to reduce unnecessary repetitive work and improve resource utilization. By integrating these optimization suggestions, the module helps project managers effectively reduce costs without sacrificing project quality and safety, ensuring that the project can be executed according to the budget.

[0074] In some embodiments, the digital construction platform further includes a safety monitoring module 108, which is used to identify the human body image of workers from the monitoring video of the construction site in high-altitude areas and determine whether the workers have altitude sickness based on the human body image.

[0075] By integrating advanced image recognition and artificial intelligence technologies, the safety monitoring module 108 can analyze the video stream from the on-site monitoring cameras in real time. It can identify the human body images of workers in the video and use behavior recognition algorithms to monitor the activity patterns and physiological reactions of workers. For example, if workers show possible altitude sickness symptoms such as walking slowly, taking frequent breaks, or body shaking, the safety monitoring module 108 will issue an alarm in a timely manner to remind on-site management personnel or the medical team to intervene.

[0076] Through this intelligent safety monitoring, the digital construction platform helps prevent and reduce health risks caused by altitude sickness, ensuring the life safety of construction workers and the smooth progress of construction projects.

[0077] Furthermore, the safety monitoring module 108 is specifically used to obtain the real-time behavior characteristics of the worker from the human body image, compare the real-time behavior characteristics with the altitude sickness behavior characteristic library to obtain the altitude sickness matching degree, and determine whether the worker has altitude sickness based on the altitude sickness matching degree.

[0078] Among them, the real-time behavior characteristics include the actions, postures, and activity patterns of workers. Actions refer to the specific physical movements of workers during construction, such as walking, lifting, carrying, etc. These actions are the basic components of completing construction tasks and usually involve the coordinated movements of various parts of the body.

[0079] Posture refers to the specific form or state of the body when workers are engaged in construction activities, such as standing, bending, squatting, etc. The correctness of posture is crucial for ensuring construction safety and efficiency. Improper postures may lead to safety accidents or reduced work efficiency.

[0080] The activity pattern refers to the continuous manifestation of the behavior and actions of workers over a period of time. It includes not only individual actions and postures but also the combination and change of these actions and postures over time. The activity pattern can reflect the work rhythm, work habits, and possible health status of workers and is an important indicator for evaluating workers' behavior and construction safety.

[0081] Specifically, the safety monitoring module 108 captures the behavior characteristics of workers in real time by analyzing the human body images obtained from the construction site monitoring videos. Using artificial intelligence and machine learning algorithms, the safety monitoring module 108 can identify these real-time behavior characteristics.

[0082] After that, the safety monitoring module 108 compares and analyzes these real-time behavior characteristics with the built-in high altitude reaction behavior characteristic library. This characteristic library contains a variety of known high altitude reaction symptoms and behavior patterns, such as abnormal breathing frequency, unsteady gait, or slowed work speed, etc.

[0083] By calculating the matching degree between the real-time behavior characteristics and those in the characteristic library, the safety monitoring module 108 can evaluate the possibility of workers having high altitude reactions. If the matching degree exceeds a certain preset threshold, it indicates that the worker may be experiencing high altitude reactions, and an alarm will be automatically issued so that on-site management personnel or the medical team can quickly take corresponding preventive or treatment measures. This intelligent monitoring and early warning mechanism not only improves the response speed to high altitude reactions but also helps reduce health risks and construction accidents caused by high altitude reactions, ensuring the safety and construction efficiency of construction workers in high altitude areas.

[0084] In some embodiments, the safety monitoring module 108 can also identify the human body image through a human body action recognition model to determine whether the worker has high altitude reactions.

[0085] Specifically, a large amount of video data of workers' behaviors needs to be collected and labeled first. This data includes actions in normal working states and abnormal behaviors that may occur in high-altitude environments. Through deep learning techniques, especially convolutional neural networks (CNNs), a human action recognition model is trained to learn to identify key points and movement trajectories of the human body. During the training process, the human action recognition model gradually learns to extract features from consecutive video frames and understand the patterns of different actions and postures. Once the model is trained, it can analyze surveillance videos in real time, identify the real-time behavior characteristics of workers, and compare these characteristics with pre-trained behavior patterns to determine whether workers show signs of altitude sickness or other health problems.

[0086] In some embodiments, the digital construction platform further includes an alarm module 109, which is connected to the safety monitoring module 108 and is configured to receive an alarm signal generated by the safety monitoring module 108 when it determines that a worker has altitude sickness and issue an alarm prompt message according to the alarm signal.

[0087] Specifically, the alarm module 109 is a key component closely integrated with the safety monitoring module 108, specifically designed to receive and respond to the generated alarm signal when the safety monitoring module 108 analyzes the behavior characteristics of workers and determines that a worker has altitude sickness. Once the alarm module 109 receives the alarm signal from the safety monitoring module 108, it will immediately trigger a preset alarm mechanism and issue clear alarm prompt messages in various ways such as vision, hearing, or touch. These messages may include alarm sounds, flashing warning lights, text message notifications, or automatic voice broadcasts to ensure that on-site managers or medical teams can quickly detect and take necessary countermeasures, such as providing emergency medical assistance or adjusting construction arrangements, thereby ensuring the health and safety of workers and maintaining the smooth progress of the construction project. Through this real-time alarm response mechanism, the digital construction platform significantly improves the safety monitoring and emergency handling capabilities in high-altitude construction environments.

[0088] In some embodiments, the digital construction platform further includes a data storage module 110 for storing the surveillance videos.

[0089] Specifically, the data storage module 110 is responsible for storing surveillance videos and other key data obtained from the safety monitoring system. This module adopts high-capacity and high-reliability storage technologies to ensure the security and integrity of video data. It can not only store real-time video streams but also save historical video records for subsequent analysis and review. Through the data storage module 110, project managers can access and review key events during the construction process at any time, improving construction transparency and safety. In addition, the stored video data can be used for accident investigation, training material production, and construction process optimization, providing comprehensive data support for project management.

[0090] In some embodiments, the digital construction platform further includes a device monitoring module 111, which is used to obtain the device status information of construction equipment and determine whether the construction equipment needs maintenance according to the device status information.

[0091] The device monitoring module 111 can obtain the operation status information of construction equipment in real time. By communicating with the sensors and control systems of the construction equipment, the device monitoring module 111 can monitor the operation parameters of the construction equipment, such as temperature, pressure, rotation speed, etc., so as to evaluate the health status of the construction equipment. The device monitoring module 111 can identify device anomalies in a timely manner, predict potential failures, and ensure the stable operation of the construction equipment. By continuously monitoring and analyzing the device status, the device monitoring module 111 helps to arrange maintenance work in advance, reducing construction delays and economic losses caused by device failures.

[0092] In some embodiments, the device monitoring module 111 of the digital construction platform is specifically used to determine the maintenance plan and maintenance time of the construction equipment according to the weather forecast data and the device status information.

[0093] Specifically, the device monitoring module 111 not only monitors the operation status of the construction equipment, but also combines the weather forecast data to provide a scientific basis for the maintenance of the construction equipment. The device monitoring module 111 determines the best maintenance plan and time by analyzing the current operation status of the device and the upcoming weather conditions, such as temperature changes, humidity, wind speed, etc. For example, if the forecast shows that there will be extreme weather in the next few days, the device monitoring module 111 may recommend early equipment inspection and maintenance to prevent damage to the equipment caused by bad weather. This data-driven maintenance strategy helps to optimize the allocation of maintenance resources and improve the reliability of construction equipment in high-altitude areas and the continuity of construction projects.

[0094] In some embodiments, the digital construction platform further includes a vital sign monitoring module 112, which is used to judge whether a worker has altitude sickness according to the vital sign data of the worker in the high-altitude area, and the vital sign data is collected by the intelligent wearable device of the worker.

[0095] The physical sign monitoring module 112 collects the vital sign data of workers in real time through the intelligent wearable devices worn by the workers, such as heart rate, blood oxygen saturation, respiratory rate, and blood pressure. These data are crucial for evaluating the health status of workers, especially in high-altitude areas where altitude sickness is a common health risk. By analyzing these vital sign data, the physical sign monitoring module 112 can timely detect whether there are signs of altitude sickness in workers. If abnormal data is detected, the module will immediately issue an alarm to remind the on-site management personnel or medical team to intervene. This real-time physical sign monitoring not only improves the monitoring accuracy of workers' health status but also helps prevent and reduce the impact of altitude sickness on construction safety.

[0096] Specifically, to comprehensively judge whether a worker has altitude sickness, four key physiological indicators, namely heart rate, blood oxygen saturation, respiratory rate, and blood pressure, can be monitored. First, an abnormal increase in heart rate may be the body's initial reaction to hypoxia at high altitude. Second, a decrease in blood oxygen saturation usually below 90% indicates that the body fails to effectively adapt to the thin oxygen environment. A significant increase in respiratory rate, especially exceeding 20 times per minute, is also an obvious sign of altitude sickness. Abnormal changes in blood pressure, whether an increase or a decrease, may also indicate altitude sickness. By monitoring these indicators in real time and comparing them with the normal physiological range, abnormalities can be detected in a timely manner and the health status of workers can be evaluated. If multiple indicators show abnormalities simultaneously, combined with the worker's subjective symptoms such as headache, nausea, fatigue, etc., it is possible to comprehensively judge whether the worker has altitude sickness and take corresponding preventive and treatment measures. This comprehensive monitoring method of multiple indicators helps to more accurately identify and handle altitude sickness and ensure the health of workers and construction safety.

[0097] The digital construction platform of this embodiment is a comprehensive and highly integrated intelligent system designed specifically for complex construction environments such as high altitude. It utilizes advanced information technology, artificial intelligence, machine learning, and Internet of Things technology to provide a comprehensive set of solutions to optimize construction plans, enhance construction safety, reduce costs, and improve construction efficiency.

[0098] The climate data module 101 is the foundation of the platform and is responsible for collecting and analyzing the historical climate data of high-altitude areas to provide a scientific basis for the formulation of construction plans. It predicts climate trends by integrating data sources such as weather stations and satellite remote sensing to help project managers avoid climate risks.

[0099] The plan formulation module 102 intelligently formulates and adjusts construction plans according to the information provided by the climate data module 101 in combination with the specific requirements of the construction project. It considers the sequence of construction activities, resource requirements, and time arrangements to ensure that the construction progress matches the climate conditions. Among them: The weather monitoring module 103 obtains and analyzes future weather forecast data in real time, providing accurate weather information for the construction team. It cooperates with meteorological service providers and utilizes the latest meteorological forecasting technologies to ensure that construction activities can respond promptly to weather changes.

[0100] The first adjustment module 104 dynamically adjusts the construction plan according to real-time weather monitoring data, optimizing the construction schedule and resource allocation. It enables the construction team to quickly adapt to weather changes, reducing construction delays and safety risks.

[0101] The cost determination module 105 is subdivided into three sub-modules: logistics cost determination, material cost determination, and human resources cost determination, which respectively calculate the logistics, material, and labor costs in the construction project. These sub-modules comprehensively consider market conditions, resource requirements, and work efficiency, providing a clear and accurate cost overview for project managers.

[0102] The cost optimization module 106 provides optimization suggestions when the cost exceeds the budget. By adjusting construction methods, material procurement, logistics arrangements, and human resource allocation, it helps the project team control costs and improve economic efficiency.

[0103] The second adjustment module 107 further adjusts the construction plan according to the cost optimization suggestions, ensuring that the construction cost is controlled within the budget while meeting quality and safety standards.

[0104] The safety monitoring module 108 uses artificial intelligence and machine learning algorithms to identify the human body images of workers from surveillance videos, determine whether workers have altitude sickness, and issue alarms in a timely manner to ensure the safety of workers.

[0105] The alarm module 109 is connected to the safety monitoring module 108, receives and responds to the generated alarm signals, and issues alarm prompt information to ensure that on-site management personnel or medical teams can quickly take countermeasures.

[0106] The data storage module 110 stores surveillance videos and key data, providing support for accident investigation, training, and construction process optimization.

[0107] The equipment monitoring module 111 obtains the operating status information of construction equipment in real time, predicts potential failures, arranges maintenance work, and ensures the stable operation of the equipment.

[0108] The equipment monitoring module 111 further combines weather forecast data and equipment status information to determine the maintenance plan and time for construction equipment, optimizing the allocation of maintenance resources.

[0109] The vital sign monitoring module 112 collects vital sign data through smart wearable devices worn by workers, monitors the health status of workers in real time, and prevents altitude sickness.

[0110] Overall, through intelligent management and optimization, this digital construction platform has effectively reduced the complexity and costs of construction projects in high-altitude areas, and improved the safety and reliability of construction. It represents the forefront of technological innovation in the construction industry and provides strong technical support for construction activities in complex environments such as high altitudes.

[0111] The digital construction platform of this embodiment can provide a comprehensive solution for construction project management in the form of software applications, including functional modules such as climate data analysis, construction plan formulation, real-time weather monitoring, cost determination and optimization. These modules work together, utilize historical and real-time data, and intelligently assist the decision-making process, optimize construction plans and cost control to meet the construction needs in complex environments such as high altitudes. The digital construction platform can be deployed on a server or in the cloud, and users can access and operate the system through network connections using various electronic devices such as computers, tablets or smartphones.

[0112] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A digital construction platform, characterized in that, Including: A climate data module for obtaining historical climate data of the high-altitude area where the construction project is located; A plan formulation module for setting a project construction plan according to the historical climate data; A weather monitoring module for obtaining weather forecast data of the high-altitude area within a preset future time; A first adjustment module for adjusting the project construction plan according to the weather forecast data to obtain a first project construction plan; A cost determination module for determining a first construction cost according to the first project construction plan; A cost optimization module for providing cost optimization suggestions when the first construction cost exceeds the budget cost; A second adjustment module for adjusting the first project construction plan according to the cost optimization suggestions after the cost optimization suggestions are confirmed to obtain a second project construction plan, and the second construction cost of the second project construction plan is lower than or equal to the budget cost.

2. The digital construction platform according to claim 1, characterized in that, The first construction cost includes a first logistics cost, a first material cost, and a first human resource cost, and the cost determination module includes: A logistics cost determination module for determining a logistics transportation route and method according to the first project construction plan, and determining the first logistics cost according to the logistics price in the high-altitude area and the logistics transportation route and method; A material cost determination module for determining the material demand according to the first project construction plan, and determining the first material cost according to the material loss rate in the high-altitude area and the material demand; A human resource cost determination module for determining the total man-hours according to the first project construction plan, and determining the first human resource cost according to the labor price, work efficiency in the high-altitude area and the total man-hours.

3. The digital construction platform according to claim 2, wherein The cost optimization module is specifically used for generating optimization suggestions for the first logistics cost, the first material cost, and the first human resource cost according to the difference between the first construction cost and the budget cost.

4. The digital construction platform according to any one of claims 1-3, characterized in that It further includes a safety monitoring module for identifying the human body image of the worker from the monitoring video of the high-altitude area construction site, and judging whether the worker has altitude sickness according to the human body image.

5. The digital construction platform according to claim 4, wherein The safety monitoring module is specifically used for obtaining the real-time behavior characteristics of the worker from the human body image, comparing the real-time behavior characteristics with the altitude sickness behavior characteristic library to obtain an altitude sickness matching degree, and judging whether the worker has altitude sickness according to the altitude sickness matching degree.

6. The digital construction platform according to claim 4, characterized in that, It further includes an alarm module connected to the safety monitoring module for receiving the alarm signal generated by the safety monitoring module when it determines that the worker has altitude sickness, and sending out an alarm prompt message according to the alarm signal.

7. The digital construction platform according to claim 4, characterized in that It further includes a data storage module for storing the monitoring video.

8. The digital construction platform according to claim 1, characterized in that, It further includes an equipment monitoring module for obtaining the equipment status information of the construction equipment, and determining whether the construction equipment needs maintenance according to the equipment status information.

9. The digital construction platform according to claim 8, characterized in that The equipment monitoring module is specifically used for determining the maintenance plan and maintenance time of the construction equipment according to the weather forecast data and the equipment status information.

10. The digital construction platform according to claim 1, characterized in that, It further includes a physical sign monitoring module, which is used to judge whether the worker has altitude sickness according to the vital sign data of the worker in the high-altitude area, and the vital sign data is collected by the intelligent wearable device of the worker.

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