Building supervision system for supervising real-time construction progress of commercial complex building

Abstract

The invention relates to a building supervision system for supervising the real-time construction progress of a commercial complex building, and relates to the technical field of building construction management, the system comprises a real-time acquisition module, a data processing module, a scheduling system module, a display interaction module and an alarm notification module, and the real-time acquisition module, the data processing module, the scheduling system module, the display interaction module and the alarm notification module are automatically acquired through an RFID tag and other automatic acquisition devices. Worker card punching, material use and mechanical equipment working states are monitored in real time, data comprehensiveness and accuracy are ensured, data acquisition efficiency is improved, human errors are reduced, an integrated data processing center analyzes construction progress in real time, management personnel can make decisions quickly, the decision process is accelerated, management efficiency is improved, and work efficiency is improved. The system automatically adjusts resource configuration according to real-time data and preset rules, optimizes working efficiency, avoids resource waste, reduces cost, automatically gives an alarm and notifies related personnel when the efficiency is reduced, ensures that problems are solved in time, reduces delay risks, and displays the construction progress through a visual user interface.

Description

Technical Field

[0001] The present application relates to the technical field of building construction management, and in particular to a building supervision system for real-time construction progress monitoring of commercial complex buildings. Background Art

[0002] In the current commercial complex construction process, due to the large scale of the project, the large number of participants and the complexity of the construction environment, traditional project management methods are difficult to achieve accurate control and effective supervision of the construction progress. The existing management system often cannot reflect the actual situation of the construction site in real time, resulting in unreasonable resource allocation, low work efficiency, and even affecting the project delivery time. Therefore, it is particularly important to develop a construction supervision system that can monitor the construction progress in real time, optimize resource allocation and improve project efficiency.

[0003] The prior art (CN116681250A) discloses a construction project progress supervision system based on artificial intelligence, including a data collection module, a data integration and processing module, a progress analysis module, a visual report module, a risk management module, a real-time monitoring module, a collaborative communication module, and an intelligent suggestion module; the present invention automatically collects, processes and analyzes a large amount of construction data, monitors project progress and task completion in real time, reduces data input errors and inconsistencies in an automated manner, and provides accurate progress prediction, risk identification and decision support through advanced data analysis technology, provides a collaborative and communication platform, promotes communication and cooperation between team members, and strengthens team collaboration and project management effects through sharing data, task allocation and real-time communication. However, the study found that there are the following technical problems: the existing system often relies on manual data input, resulting in insufficient and inaccurate data collection, delays in data update and feedback, and inability to provide real-time construction progress reports. Human resources and material supply often cannot be dynamically adjusted according to actual needs, resulting in resource waste or shortage. At the same time, there is a lack of effective early warning mechanism. When the construction progress is abnormal or resources are in short supply, relevant personnel cannot be notified in time, and the user interface is complex and inconvenient to operate, which affects the user experience.

[0004] In view of the above-mentioned related technologies, a solution is now proposed. Summary of the invention

[0005] The purpose of this application is to provide a construction supervision system for real-time construction progress monitoring of commercial complex buildings to solve the technical problem in the prior art that data collection is not accurate enough to reflect the actual situation of the construction site in a timely manner.

[0006] This application provides a construction supervision system for real-time construction progress supervision of commercial complex buildings, which adopts the following technical solutions: A construction supervision system for real-time construction progress supervision of commercial complex buildings, the system comprising a real-time acquisition module, a data processing module, a scheduling system module, a display interaction module and an alarm notification module; The real-time acquisition module is used to automatically collect worker punch-in information, material usage, and the working status of mechanical equipment. The person in charge of the day uploads and updates it through the sub-machine unit according to the time period; The data processing module collects data from the real-time acquisition module, and performs analysis and processing to generate a real-time construction progress report; The scheduling system module automatically adjusts human resources and material supply based on real-time data and preset rules; The display interaction module displays the real-time construction progress, work efficiency and material consumption, and allows the user to input instructions to adjust resource allocation; When the alarm notification module detects abnormal construction progress or resource shortage, the system will automatically trigger an alarm and notify relevant personnel via text messages, emails, etc.

[0007] By adopting the above technical solution, after summarizing the number of people punching in and the materials in the morning, the work efficiency of each group is preliminarily calculated, and the workload is updated in real time through the sub-machine unit of each group leader. The accurate counting of funds and materials enables the transportation group to deliver new materials in advance before the materials at each work position of each group are consumed. When the supervision terminal shows that the progress is slowing down, the location where the efficiency is slowing down can be intuitively seen and timely resolved. At the same time, the changes in personnel in each group can be adjusted, so that the more efficient group can borrow workers for the less efficient group, ensuring that the construction delivery time is not delayed and the progress management is accurate.

[0008] Preferably, the real-time acquisition module includes a sensor unit, an RFID unit and a sub-machine unit. The sensor unit is installed in a key area using an Internet of Things sensor to monitor the material usage and the status of mechanical equipment in real time. The Internet of Things sensor data is transmitted to the data processing module through the network. The RFID unit automatically punches in through an RFID card reader installed at the entrance of the construction site; the system records the punching time and personnel information for calculating work efficiency, and the calculation method is: ; Among them, E is work efficiency; WL is the amount of work completed; To end the clock-in time; To start clocking in, the sub-machine units are respectively in the hands of the persons in charge of different construction groups. Through the on-site reports of each group leader, the workload and the use of funds and materials are updated in real time and displayed on the display interaction module.

[0009] By adopting the above solution, real-time monitoring of workers' clock-in information, material usage and mechanical equipment working status can be achieved through IoT sensors and RFID technology to ensure the comprehensiveness and accuracy of the data. The integrated advanced data processing center can instantly analyze and display the construction progress, allowing managers to grasp the on-site situation at the first time and make quick decisions. According to real-time data and preset rules, resource allocation can be automatically adjusted to improve overall work efficiency and avoid waste of resources.

[0010] Preferably, the data processing module uses a high-performance server cluster to process a large amount of data from the real-time acquisition module, and uses a distributed database to store and manage data, applies machine learning and data mining technology to analyze the collected data, and generates a construction progress report and early warning information. The steps of the data analysis algorithm are: S1. Data collection and storage: Collect worker clock-in data and material usage in real time from the RFID unit and sensor unit; S2. Data preprocessing and cleaning: The system removes duplicates, corrects errors, and unifies the format of the collected data; S3, real-time data analysis and monitoring: analyze the pre-processed data and generate real-time construction progress reports; S4. Efficiency evaluation and optimization: Based on real-time data analysis results, the system calculates the work efficiency of each group and identifies inefficient links; S5. Visual display and feedback: Through intuitive charts and dashboards displayed on the display and interactive interface, managers can view construction progress and efficiency changes in real time; the system also provides historical data comparison function to help optimize future construction plans and management strategies.

[0011] By adopting the above solution, the high-performance server cluster and distributed database of the data processing module can efficiently process and store large amounts of data to ensure the stable operation of the system. The application of machine learning and data mining technology can deeply analyze the data, extract valuable information, and provide a scientific basis for decision-making; through real-time data analysis and monitoring, problems can be discovered and adjusted in a timely manner to improve construction efficiency and quality; visual display and feedback enable managers to intuitively understand construction progress and efficiency changes, facilitating timely adjustment of management strategies.

[0012] Preferably, the logical steps of the scheduling system module rule engine are as follows: S1. Compile and form the future total workload change trend based on the preset workload and past work efficiency; S2. Dynamically adjust human resources based on real-time data and predicted changing trends. At the same time, replenish consumables in a timely manner based on inventory conditions and predicted work efficiency to ensure that the construction process is not affected by consumables shortages.

[0013] By adopting the above solution, step S1 involves the analysis of historical data and the prediction of future workload. By analyzing the past work efficiency and the amount of work completed, the changing trend of future workload can be predicted. This helps to better plan resources and manpower; step S2 emphasizes the importance of real-time data in resource scheduling. By real-time monitoring of workload, human resources and material consumption, the system can adjust resource allocation in time to ensure the smooth progress of the construction process. Through accurate workload prediction and resource scheduling, waste can be reduced and resource utilization can be improved.

[0014] Preferably, the scheduling system module uses operations research planning to optimize resource allocation and improve overall construction efficiency. The operations research planning of this module selects a suitable optimization algorithm. The optimization algorithm consists of an objective function and constraints. The objective function is usually to maximize efficiency or minimize cost. The objective function is expressed as: or ; The constraints include but are not limited to resource constraints and time constraints. The constraints are: ; where c is the target coefficient vector, x is the decision variable vector, A is the coefficient matrix, and b is the constant term vector.

[0015] By adopting the above scheme, the goals in the construction project, such as minimizing costs or maximizing efficiency, and related constraints such as resource limitations, time constraints, etc., can usually be well described by linear relationships. Linear programming allows these linear relationships to be accurately modeled, thereby ensuring the accuracy and practicality of the solution. The resource allocation scheme obtained by solving the problem is applied to the actual construction process, and its effect is continuously monitored to ensure the improvement of construction efficiency. The above linear programming algorithm ensures that resources are used most effectively, thereby improving the overall construction efficiency.

[0016] Preferably, the display interaction module adopts a terminal unit with a display screen, and the terminal unit is connected to the data processing module via a cable. The terminal unit receives data from the data processing module and the scheduling system module, summarizes them, and displays the predicted progress of each team's current work efficiency to complete the project within the deadline through a pie chart. At the same time, the terminal unit synchronizes the predicted progress to the sub-machine unit in real time, so that each group of the sub-machine units can intuitively see the work efficiency.

[0017] By adopting the above solution, a terminal unit with a display screen is used. The unit has sufficient graphics processing capabilities and network connection functions to ensure that it can receive and process data from the data processing module and the scheduling system module. The terminal unit not only displays data on the local display screen, but also synchronizes the predicted progress to each sub-unit in real time. In this way, the on-site person in charge of each group can directly view the real-time work efficiency and progress information on his or her mobile device or on-site computer. By displaying the work efficiency and project progress of each team in real time, the transparency of the work is greatly improved. This helps to enhance the trust and spirit of cooperation among team members, while enabling the supervisor to make more scientific and reasonable decisions based on real-time data, and the feedback mechanism of real-time data enables each team to instantly understand their work performance, so as to actively adjust their working methods and improve work efficiency.

[0018] Preferably, the terminal unit exchanges data with the sub-unit via a wireless communication unit, the wireless communication unit adopts Zigbee as the wireless communication technology, the Zigbee network adopts a mesh topology, each sub-unit is provided with a unique address, so that the terminal unit can accurately identify and communicate, and adjust the transmission power according to the communication distance and environmental conditions to optimize the communication quality and power consumption. The required transmission power can be calculated using the following formula: in, is the transmit power; is the receiving power threshold; L is the path loss.

[0019] By adopting the above scheme, Zigbee is used as the wireless communication technology. Zigbee is a low-power, short-distance, low-data-rate wireless communication technology, which is very suitable for application scenarios that require long-term operation and frequent transmission of small data packets, such as data interaction at construction sites. At the same time, the Zigbee network adopts a mesh topology. In the mesh network, each device can act as a relay point to help transmit messages to other devices. This structure increases the reliability and coverage of the network, which is particularly suitable for complex construction site environments. Due to the self-organizing characteristics of the Zigbee network, adding or reducing sub-units will not affect the operation of the entire system, which makes the system highly flexible and scalable, and stable wireless communication support makes remote monitoring and management possible. Managers can obtain real-time data from any place at any time and make timely decisions.

[0020] Preferably, the alarm notification module continuously monitors the construction progress and resource status, and immediately triggers an alarm once an abnormality is found. The alarm notification module promptly notifies relevant personnel to take corresponding measures through SMS, email, APP push, etc., and intuitively displays the changes in efficiency through the display interaction module.

[0021] By adopting the above solution, the alarm notification module continuously monitors the construction progress and resource status. This includes tracking key indicators such as the completion percentage of the project, resource usage, and worker attendance. The system defines anomalies based on preset rules and thresholds. For example, if the completion of a certain work link is far below the planned progress, or the inventory of a certain key resource is below the safe level, the system will determine it as an abnormality, and the alarm information will be sent through multiple communication channels, including but not limited to SMS, email, and APP push notifications. This ensures that all relevant personnel can receive timely notifications under any circumstances. Through real-time monitoring and instant alarms, relevant problems can be quickly discovered and handled in a timely manner, greatly reducing the risk of project delays.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. Through automatic data collection devices such as sensors and RFID tags, real-time monitoring of workers’ clock-in information, material usage and mechanical equipment working status is achieved to ensure the comprehensiveness and accuracy of the data; 2. By integrating an advanced data processing center, the construction progress can be analyzed and displayed in real time, allowing managers to grasp the on-site situation at the first time and make quick decisions; 3. Automatically adjust resource allocation based on real-time data and preset rules to improve overall work efficiency and avoid resource waste; 4. When a problem is detected, an alarm is automatically triggered and relevant personnel are notified via SMS, email, etc. to ensure that the problem is solved in a timely manner; 5. Through an intuitive user interface, it displays real-time construction progress, work efficiency and material consumption, and allows users to easily input instructions to adjust resource allocation, thus improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a construction supervision system for real-time construction progress supervision of a commercial complex building in the present application; Figure 2 It is a data analysis algorithm step diagram of the data processing module of this application; Figure 3 It is the logic flow chart of the rule engine of the scheduling system module of this application; Figure 4 It is a schematic diagram of a pie chart display of a terminal unit of this application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1 -Attached Figure 4 , further details of this application are given.

[0025] The embodiment of the present application discloses a construction supervision system for real-time construction progress monitoring of commercial complex buildings.

[0026] Reference Figure 1 , a construction supervision system for real-time construction progress supervision of commercial complex buildings, the system comprising a real-time acquisition module, a data processing module, a scheduling system module, a display interaction module and an alarm notification module; The real-time acquisition module is used to automatically collect worker punch-in information, material usage, and the working status of mechanical equipment. The person in charge of the day uploads and updates it through the sub-machine unit according to the time period; The data processing module collects data from the real-time acquisition module, and performs analysis and processing to generate a real-time construction progress report; The scheduling system module automatically adjusts human resources and material supply based on real-time data and preset rules; The display interaction module displays the real-time construction progress, work efficiency and material consumption, and allows the user to input instructions to adjust resource allocation; When the alarm notification module detects abnormal construction progress or resource shortage, the system will automatically trigger an alarm and notify relevant personnel via text messages, emails, etc.

[0027] Specifically, the real-time acquisition module automatically collects workers' clock-in information, material usage and the working status of mechanical equipment through various sensors and RFID readers installed on the construction site. The on-site manager will upload and update the data in time periods through the handheld sub-unit every day to ensure the real-time and accuracy of the information. By collecting data from the real-time acquisition module and using a powerful server for processing, data analysis algorithms such as machine learning or statistical analysis methods are applied to generate detailed construction progress reports from these data. The scheduling system module automatically optimizes resource allocation based on the received real-time data and preset scheduling rules, and adjusts various resources including human resource allocation and material supply chain management to meet the actual needs of the project. It interacts with the supervisor through the display interaction module. The module is equipped with a large screen or other display devices to display the construction progress, work efficiency and material consumption in real time, allowing users to enter instructions to manually adjust resource allocation, increasing the flexibility and interactivity of the system. When the system detects abnormal construction progress or resource shortages, it automatically triggers an alarm and promptly notifies the project manager and other relevant personnel through various communication methods such as SMS and email to ensure a rapid response to solve the problem.

[0028] Reference Figure 1The real-time acquisition module includes a sensor unit, an RFID unit and a sub-machine unit. The sensor unit uses an IoT sensor installed in key areas to monitor the material usage and mechanical equipment status in real time. The IoT sensor data is transmitted to the data processing module through the network. The RFID unit automatically punches in through the RFID card reader installed at the entrance of the construction site. The system records the punch-in time and personnel information for calculating work efficiency. The calculation method is: ; Among them, E is work efficiency; WL is the amount of work completed; To end the clock-in time; To start clocking in, the sub-machine units are respectively in the hands of the persons in charge of different construction groups. Through the on-site reports of each group leader, the workload and the use of funds and materials are updated in real time and displayed on the display interaction module.

[0029] Specifically, the sensor unit includes a load sensor, model Vishay Tedea 3497-600, which is used for weighing scales and batching systems and is suitable for weighing a variety of building materials such as sand, gravel, cement, etc. It also includes an electromagnetic flowmeter, model GE Sensing FXE series, which is particularly suitable for measuring the inflow of water and is widely used in concrete mixing plants, etc. It has accurate measurement, is not affected by the properties of the fluid, has no moving parts, and has a long life. These sensors are installed in the corresponding material storage area, allowing managers to count accurately, and the data collected by the sensors are transmitted to the data processing module through the network to ensure the timeliness and accuracy of the data. The model used by the RFID unit is Zebra RFD2000 is suitable for rapid personnel registration and material inspection on construction sites; its sturdy design can withstand drops and impacts during daily use. By recording each worker's clock-in time Ts and end-of-work time Te, the actual working time WL of each worker can be calculated. Then, the work efficiency of different groups or departments can be analyzed through formula calculations, and inefficient areas can be identified, and corresponding resource allocation adjustments can be made. By accurately calculating the work efficiency of each group, the system can allocate resources and manpower more reasonably, avoiding waste and over-allocation of resources. At the same time, this also promotes collaboration and communication between teams, because team members can clearly see each other's work performance and progress, so as to better coordinate and cooperate.

[0030] Reference Figure 1 and Figure 2 The data processing module uses a high-performance server cluster to process a large amount of data from the real-time acquisition module, and uses a distributed database to store and manage data. It applies machine learning and data mining technology to analyze the collected data and generate construction progress reports and warning information. The steps of the data analysis algorithm are: S1. Data collection and storage: Collect worker clock-in data and material usage in real time from the RFID unit and sensor unit; S2. Data preprocessing and cleaning: The system removes duplicates, corrects errors, and unifies the format of the collected data; S3, real-time data analysis and monitoring: analyze the pre-processed data and generate real-time construction progress reports; S4. Efficiency evaluation and optimization: Based on real-time data analysis results, the system calculates the work efficiency of each group and identifies inefficient links; S5. Visual display and feedback: Through intuitive charts and dashboards displayed on the display and interactive interface, managers can view construction progress and efficiency changes in real time; the system also provides historical data comparison function to help optimize future construction plans and management strategies.

[0031] Specifically, high-performance server clusters ensure that large amounts of data from multiple data sources can be processed, while distributed databases improve data storage efficiency and access speed. The system deduplicates, corrects errors, and unifies the format of the collected data, which includes checking data integrity, correcting errors, and standardizing data formats. It analyzes preprocessed data, generates real-time construction progress reports, and applies machine learning algorithms and data mining techniques to identify trends and patterns. Based on the results of real-time data analysis, the system calculates the work efficiency of each group, identifies inefficient links, and finds out efficiency bottlenecks by comparing and analyzing the work efficiency of different time periods or different groups. It displays them on the display and interactive interface through intuitive charts and dashboards. Managers can view construction progress and efficiency changes in real time. The system also provides historical data comparison functions to help optimize future construction plans and management strategies. Real-time analysis and visual display provide powerful decision-making support tools, enabling management to make scientific decisions based on the latest data.

[0032] Reference Figure 1 and Figure 3 , the logical steps of the scheduling system module rule engine are as follows: S1. Compile and form the future total workload change trend based on the preset workload and past work efficiency; S2. Dynamically adjust human resources based on real-time data and predicted changing trends. At the same time, replenish consumables in a timely manner based on inventory conditions and predicted work efficiency to ensure that the construction process is not affected by consumables shortages.

[0033] Specifically, based on historical data and preset workload targets, statistical methods and machine learning models are used to predict future trends in total workload changes. This includes analyzing the impact of seasonal factors, project-specific needs, and market conditions. The forecasting model is updated regularly to reflect the latest market and operating conditions to ensure the accuracy and relevance of the forecast, and the system collects human resources and material usage on the construction site in real time. Combined with the predicted workload change trend, human resource allocation is automatically adjusted. At the same time, based on inventory levels and predicted material requirements, the system promptly issues instructions to replenish consumables to ensure that the construction process is not delayed due to lack of necessary materials. The rule engine should also consider the professional skills and experience of personnel, as well as the supply cycle and cost of materials, to optimize resource allocation. Managers can use this information for strategic planning and daily management to ensure that the project proceeds as planned and adjust strategies in time to meet unforeseen challenges.

[0034] Reference Figure 1 The scheduling system module uses operations research planning to optimize resource allocation and improve overall construction efficiency. The operations research planning of this module selects a suitable optimization algorithm. The optimization algorithm consists of an objective function and constraints. The objective function is usually to maximize efficiency or minimize cost. The objective function is expressed as: or ; The constraints include but are not limited to resource constraints and time constraints. The constraints are: ; where c is the target coefficient vector, x is the decision variable vector, A is the coefficient matrix, and b is the constant term vector.

[0035] Specifically, the setting of the objective function is the core of operations research optimization. In the context of construction management, the objective function is usually set to maximize efficiency or minimize cost. For example, if the goal is to reduce the total cost of the project, the objective function can be the minimization of the sum of all resource costs. The constraints ensure the feasibility of the decision and reflect the limitations in actual operations. These constraints may include resource constraints, such as the availability of manpower, materials and equipment, time constraints such as the deadline of the project, etc., so the results of linear programming are relatively intuitive and easy to understand and interpret. The coefficient of each variable represents the direct impact of the variable on the objective function, which makes it easy for decision makers to see the specific impact of different decisions on project goals. The linear programming model can be adjusted and modified according to the specific circumstances of the project. Whether adding new constraints or adjusting existing parameters, it can be achieved by modifying the model, which provides great flexibility for project management.

[0036] Reference Figure 1 and Figure 4The display interaction module adopts a terminal unit with a display screen. The terminal unit is connected to the data processing module through a cable. The terminal unit receives data from the data processing module and the scheduling system module, summarizes them, and displays the predicted progress of each team's work efficiency within the deadline through a pie chart. At the same time, the terminal unit synchronizes the predicted progress to the sub-machine unit in real time, so that each group of sub-machine units can intuitively see the work efficiency.

[0037] Specifically, terminal units with display screens are used. These terminal units have sufficient graphics processing capabilities and network connection functions to ensure smooth reception and processing of data from the data processing module. The terminal units receive data from the data processing module and the scheduling system module in real time. These data include the work efficiency of each team, resource usage, and the overall progress of the project. Using pie charts and other charts, the terminal units intuitively display the current work efficiency of each team and the predicted progress of completing the project within the deadline. This graphical display method makes it easy for managers to quickly grasp the project status and efficiency distribution. At the same time, the terminal units not only display information in the main control room or management center, but also synchronize the predicted progress to each sub-unit in real time. In this way, the on-site leaders and workers of each group can directly see the real-time work efficiency and progress on their own devices. This instant feedback mechanism enhances the consciousness of on-site personnel and the timeliness of adjustment work, and by intuitively displaying work efficiency and progress on the terminal units and sub-units, the information transparency of the work site is greatly improved. Each team member can clearly understand his or her own and the team's work performance, as well as the progress of the overall project.

[0038] Reference Figure 1 The terminal unit exchanges data with the slave unit through a wireless communication unit. The wireless communication unit uses Zigbee as the wireless communication technology. The Zigbee network uses a mesh topology. Each slave unit is provided with a unique address, so that the terminal unit can accurately identify and communicate. According to the communication distance and environmental conditions, the transmission power is adjusted to optimize the communication quality and power consumption. The required transmission power can be calculated using the following formula: in, is the transmit power; is the receiving power threshold; L is the path loss.

[0039] Specifically, a central node is set up at the central location of the construction site, which is responsible for establishing and maintaining the network and communicating with the outside world. Then router nodes are deployed at key locations on the construction site. These nodes can expand the coverage of the network and provide relay services for data transmission for other devices. The selection of router nodes should take into account the physical layout and obstacle distribution of the site, and all pre-configured nodes should be installed at the actual physical location. Ensure that each node has an appropriate power supply and the location can maximize the signal coverage and reduce dead zones. After starting the network, conduct detailed tests, including signal strength test, communication stability test, and data transmission efficiency test. Adjust the node position or reconfigure the network parameters according to the test results until the expected performance standards are met. In the Zigbee network, each slave unit is set with a unique address to ensure that the terminal unit can accurately identify and communicate with a specific slave unit. According to the communication distance and environmental conditions, the transmission power is dynamically adjusted by changing the formula to optimize the communication quality and power consumption. This can be achieved by calculating the minimum required transmission power to ensure signal quality while reducing unnecessary energy consumption.

[0040] Reference Figure 1 The alarm notification module continuously monitors the construction progress and resource status, and immediately triggers an alarm once an abnormality is found. The alarm notification module promptly notifies relevant personnel to take corresponding measures through SMS, email, APP push, etc., and intuitively displays the changes in efficiency through the display interaction module.

[0041] Specifically, the alarm notification module obtains construction progress and resource status information from the data processing module and the scheduling system module through the real-time data interface. These data include worker clocking-in records, material consumption, mechanical equipment operating status, etc. Once an abnormality is detected, the alarm notification module will notify relevant personnel in a variety of ways, including but not limited to SMS, email and APP push. This method ensures that even if there is no network connection at the construction site, the management personnel can be notified in time. At the same time, the alarm notification module will also display the changes in efficiency and abnormal situations intuitively on the large screen of the control center through the display interaction module, so that managers can quickly understand the specific situation of the problem and respond. The display interface will use color coding or icons to identify different alarm types and urgency levels to help managers identify problems more quickly. Through real-time monitoring and multi-channel alarms, the system can quickly detect and notify any problems in construction. This instant feedback mechanism greatly reduces the possibility of problem accumulation and improves the safety and reliability of the overall project.

[0042] The implementation principle of the embodiment of the present application is as follows: by deploying IoT sensors and RFID tags at the construction site, real-time monitoring of workers' clocking-in information, material usage and working status of mechanical equipment is achieved. Real-time data flow is the basis for the operation of the entire system. It provides an instant and accurate information source for subsequent data processing and decision-making. A high-performance server cluster is used to process a large amount of data, and a distributed database is used for data storage and management. Machine learning and data mining techniques are applied to analyze the collected data to generate construction progress reports and early warning information. These advanced analysis technologies help identify inefficient links, optimize resource allocation, and dynamically adjust human resources and material supply according to real-time data and predicted trends. The scheduling system module uses operations research planning to allocate resources, maximizes efficiency or minimizes costs by selecting appropriate optimization algorithms, and displays real-time construction progress, work efficiency and material consumption through terminal units with display screens. Zigbee wireless communication technology is used to establish a mesh network topology. Each sub-unit is set with a unique address to ensure that the terminal unit can accurately identify and communicate with it. The alarm notification module continuously monitors the construction progress and resource status. Once an abnormality is found, it immediately notifies relevant personnel through SMS, email, APP push, etc. This timely alarm mechanism ensures that the problem can be quickly responded to and handled.

[0043] The embodiments of this specific implementation are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. The same components are represented by the same figure marks. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A construction supervision system for real-time construction progress supervision of commercial complex buildings, characterized in that: The system includes a real-time acquisition module, a data processing module, a scheduling system module, a display interaction module and an alarm notification module; The real-time acquisition module is used to automatically collect worker punch-in information, material usage, and the working status of mechanical equipment. The person in charge of the day uploads and updates it through the sub-machine unit according to the time period; The data processing module collects data from the real-time acquisition module, and performs analysis and processing to generate a real-time construction progress report; The scheduling system module automatically adjusts human resources and material supply based on real-time data and preset rules; The display interaction module displays the real-time construction progress, work efficiency and material consumption, and allows the user to input instructions to adjust resource allocation; When the alarm notification module detects abnormal construction progress or resource shortage, the system will automatically trigger an alarm and notify relevant personnel via text messages, emails, etc.

2. A construction supervision system for real-time construction progress supervision of commercial complex buildings according to claim 1, characterized in that: The real-time acquisition module includes a sensor unit, an RFID unit and a sub-machine unit. The sensor unit is installed in key areas using an Internet of Things sensor to monitor material usage and mechanical equipment status in real time. The Internet of Things sensor data is transmitted to the data processing module through the network. The RFID unit automatically punches in through the RFID card reader installed at the entrance of the construction site; the system records the punching time and personnel information for calculating work efficiency, and the calculation method is: ; Among them, E is work efficiency; WL is the amount of work completed; To end the clock-in time; To start clocking in, the sub-machine units are respectively in the hands of the persons in charge of different construction groups. Through the on-site reports of each group leader, the workload and the use of funds and materials are updated in real time and displayed on the display interaction module.

3. A construction supervision system for real-time construction progress supervision of commercial complex buildings according to claim 2, characterized in that: The data processing module uses a high-performance server cluster to process a large amount of data from the real-time acquisition module, and uses a distributed database to store and manage data. It applies machine learning and data mining technology to analyze the collected data and generate construction progress reports and early warning information. The steps of the data analysis algorithm are as follows: S1. Data collection and storage: Collect worker clock-in data and material usage in real time from the RFID unit and sensor unit; S2. Data preprocessing and cleaning: The system removes duplicates, corrects errors, and unifies the format of the collected data; S3, real-time data analysis and monitoring: analyze the pre-processed data and generate real-time construction progress reports; S4. Efficiency evaluation and optimization: Based on real-time data analysis results, the system calculates the work efficiency of each group and identifies inefficient links; S5. Visual display and feedback: Through intuitive charts and dashboards displayed on the display and interactive interface, managers can view construction progress and efficiency changes in real time; the system also provides historical data comparison function to help optimize future construction plans and management strategies.

4. A construction supervision system for real-time construction progress supervision of commercial complex buildings according to claim 1, characterized in that: The logical steps of the scheduling system module rule engine are as follows: S1. Compile and form the future total workload change trend based on the preset workload and past work efficiency; S2. Dynamically adjust human resources based on real-time data and predicted changing trends. At the same time, replenish consumables in a timely manner based on inventory conditions and predicted work efficiency to ensure that the construction process is not affected by consumables shortages.

5. The construction supervision system for real-time construction progress monitoring of commercial complex buildings according to claim 1 is characterized in that: The scheduling system module uses operations research planning to optimize resource allocation and improve overall construction efficiency. The operations research planning of this module selects a suitable optimization algorithm. The optimization algorithm consists of an objective function and constraints. The objective function is usually to maximize efficiency or minimize cost. The objective function is expressed as: or ; The constraints include but are not limited to resource constraints and time constraints. The constraints are: ; where c is the target coefficient vector, x is the decision variable vector, A is the coefficient matrix, and b is the constant term vector.

6. The construction supervision system for real-time construction progress monitoring of commercial complex buildings according to claim 1 is characterized in that: The display interaction module adopts a terminal unit with a display screen. The terminal unit is connected to the data processing module via a cable. The terminal unit receives data from the data processing module and the scheduling system module, summarizes them, and displays the predicted progress of each team's current work efficiency within the deadline through a pie chart. At the same time, the terminal unit synchronizes the predicted progress to the sub-machine unit in real time, so that each group of the sub-machine units can intuitively see the work efficiency.

7. A construction supervision system for real-time construction progress monitoring of commercial complex buildings according to claim 6, characterized in that: The terminal unit exchanges data with the slave unit through a wireless communication unit. The wireless communication unit adopts Zigbee as the wireless communication technology. The Zigbee network adopts a mesh topology structure. Each slave unit is provided with a unique address, so that the terminal unit can accurately identify and communicate. According to the communication distance and environmental conditions, the transmission power is adjusted to optimize the communication quality and power consumption. The required transmission power can be calculated using the following formula: in, is the transmit power; is the receiving power threshold; L is the path loss.

8. The construction supervision system for real-time construction progress monitoring of commercial complex buildings according to claim 1 is characterized in that: The alarm notification module continuously monitors the construction progress and resource status, and immediately triggers an alarm once an abnormality is found. The alarm notification module promptly notifies relevant personnel to take corresponding measures through SMS, email, APP push, etc., and intuitively displays the changes in efficiency through the display interaction module.

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