Construction site dispatching command center based on AR algorithm

Abstract

The invention discloses a construction site dispatching command center based on an AR (Augmented Reality) algorithm, and relates to the technical field of RFID (Radio Frequency Identification Device) and digital twinning, which comprises the following steps that: each constructor wears an RFID tag with a unique ID (Identity), collects and uploads related data in real time, filters invalid data and converts signal intensity into a physical distance; calculating the accurate position of each constructor, mapping the calculated position data of the constructors to the actual physical coordinates of the monitoring area through a digital twin technology, and displaying the actual physical coordinates on a digital twin large screen; and data is updated in real time, and a manager monitors the position of the manager in real time through a large screen and obtains abnormal information in time. According to the method disclosed by the invention, the real-time position information of the construction personnel is visually presented on the monitoring large screen by combining the digital twinborn technology, so that the monitoring visualization effect is enhanced, the limitation that the traditional video monitoring depends on manual visual observation is avoided, the supervision complexity is reduced, and the monitoring is more efficient and accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of construction site scheduling, and in particular to a construction site scheduling command center based on AR algorithm. Background Art

[0002] With the rapid development of Internet of Things (IoT) technology, radio frequency identification technology (RFID) has been widely used in many fields such as personnel positioning and logistics tracking. RFID technology realizes non-contact identification and positioning of target objects through wireless radio frequency signals. Its unique recognition ability and real-time data transmission characteristics make its application in monitoring, security and other aspects increasingly popular. At the same time, with the development of virtual reality and simulation technology, digital twin technology is gradually maturing. Digital twins achieve accurate dynamic simulation of physical objects by building virtual models of real physical objects and combining real-time data updates. Combining RFID with digital twin technology can provide more efficient and accurate solutions for intelligent management in multiple fields, especially in the field of personnel supervision. This technology combination shows broad application prospects. The construction site dispatching command center combined with AR algorithm can use the data provided by RFID technology to conduct real-time monitoring and dynamic management through digital twin models. AR technology can superimpose the real-time data and digital twin models of the construction site on the real-world vision, providing construction management personnel with an intuitive and interactive interface, thereby achieving more efficient and accurate construction site dispatching and management.

[0003] Although RFID technology has been applied in personnel positioning and tracking, traditional monitoring systems often rely on video monitoring as the main means, which makes it difficult to accurately grasp the precise location of target personnel in real time. This method of relying on video monitoring usually requires monitoring personnel to observe the screen in real time and manually identify specific targets, which is inefficient and easily limited by monitoring blind spots or visual blur, and cannot achieve all-round personnel supervision. In addition, although traditional RFID systems can identify target personnel, they lack intelligent means in data processing, and have problems such as low positioning accuracy and untimely data updates. They cannot provide real-time warnings for abnormal situations. For example, existing RFID systems usually cannot effectively filter invalid data, resulting in a high false alarm rate, and cannot dynamically adjust positioning accuracy according to the complexity of the monitoring environment. At the same time, although the existing digital twin technology can virtually simulate physical space, its combination with personnel positioning technology has not been sufficient, and real-time and efficient personnel position monitoring and visualization have not been achieved. Therefore, it is difficult for existing technologies to achieve real-time, accurate and safe monitoring effects in complex construction personnel supervision scenarios. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: the existing personnel positioning and monitoring methods have low positioning accuracy, untimely data update, insufficient abnormal situation warning, and how to achieve real-time, accurate and safe intelligent supervision of construction personnel.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a construction site dispatching command center based on AR algorithm, including each construction worker wearing an RFID tag with a unique ID, collecting and uploading relevant data in real time, filtering invalid data and converting signal strength into physical distance; calculating the precise position of each construction worker, and mapping the calculated construction worker position data to the actual physical coordinates of the monitoring area through digital twin technology, and displaying it on the digital twin large screen; real-time update of data, management personnel monitor the personnel position in real time through the large screen and obtain abnormal information in time.

[0007] As a preferred solution of the construction site dispatching command center based on AR algorithm described in the present invention, the real-time collection and uploading of relevant data includes each construction worker wearing an RFID tag with a unique ID, communicating with the RFID reader arranged in the monitoring area through radio frequency signals, continuously scanning all RFID tags within the coverage area, and reading the tag ID and RSSI data in real time. The reader uploads the real-time collected tag data to the central MQTT server through the MQTT protocol, and the uploaded data packet includes the tag ID, RSSI value and timestamp.

[0008] As a preferred solution of the construction site dispatching command center based on AR algorithm described in the present invention, the filtering of invalid data includes using FastAPI web server to connect to the MQTT server, receiving data uploaded by the RFID reader, verifying whether the data format meets expectations, the RSSI value is digital, and the timestamp is in standard time format; filtering RSSI values ​​below -100dBm or above 0dBm, deduplicating the received data with the same tag, and retaining only the latest data.

[0009] As a preferred solution of the construction site dispatch command center based on AR algorithm described in the present invention, wherein: the conversion of signal strength into physical distance includes using a path loss model to convert the RSSI value into a physical distance d, expressed as:

[0010] RSSI refis the reference signal strength, which represents the RSSI value measured at a known distance. RSSI is the received RSSI value. n is the path loss index, which reflects the impact of the environment on signal attenuation. The value of n is between 2 and 4 and is adjusted according to the actual environmental conditions. The RSSI data and corresponding physical distance of the same tag are obtained from different RFID readers, and the tag position (x, y) is solved using the trilateral measurement method.

[0011] As a preferred solution of the construction site dispatch command center based on AR algorithm described in the present invention, the calculation of the precise position of each construction worker includes calculating the initial scale according to the actual physical size of the monitoring area and the resolution of the actual base map, which is expressed as:

[0012]

[0013] Among them, pixel_width and pixel_height are the width and height of the large screen, scale_x_base and scale_y_base are the initial scales, actual_width and actual_height are the actual physical width and height of the monitoring area; the scale is dynamically adjusted according to the real-time environmental data, expressed as:

[0014] scale_x_dynamic=scale_x_base×adjustment_factor_x

[0015] scale_y_dynamic=scale_y_base×adjustment_factor_y

[0016] Among them, adjustment_factor_x and adjustment_factor_y are dynamic adjustment coefficients calculated based on real-time environmental data and historical data.

[0017] As a preferred solution of the construction site dispatching command center based on AR algorithm described in the present invention, the actual physical coordinates mapped to the monitoring area include setting the center point coordinates (X_center, Y_center) of the large screen as the origin of the screen coordinate system, using the calculated dynamic scale and center point coordinates, converting the original physical coordinates (X_raw, Y_raw) into display coordinates (X_display, Y_display) on the large screen, and the conversion process is expressed as:

[0018] X_display=X_center+(X_raw×scale_x_dynamic)

[0019] Y_display=Y_center+(Y_raw×scale_y_dynamic)

[0020] Among them, X_raw and Y_raw are the original physical coordinates obtained from the RFID data, indicating the actual position of the construction workers in the monitoring area. X_center and Y_center are the center point coordinates of the large screen, which are used as the reference point after conversion. scale_x_dynamic and scale_y_dynamic are the scales dynamically adjusted according to the real-time environmental data, which are used to convert physical coordinates into screen coordinates and display the position of the construction workers on the large screen.

[0021] As a preferred solution of the construction site dispatching and commanding center based on AR algorithm described in the present invention, the real-time monitoring of personnel positions and timely acquisition of abnormal information includes a digital twin large screen as a WebSocket client, connected to a FastAPI server, and continuously receiving pushed real-time coordinate data. Each time new position information is received, the real-time coordinate point is drawn on the large screen using Canvas. Before drawing a new position point, the previous drawing is cleared first, and different colors or marks are used to distinguish different construction personnel. The display refresh frequency is set according to actual needs, and asynchronous processing technology and task queues are used to limit the number of concurrent tasks in the system. An activity flag and a restart mechanism are set. By setting the system activity flag, the system automatically detects its own operating status. When an error occurs, the current instance is deactivated, a restart logic is set, and the system is automatically restarted through a timer or external monitoring tool to restore activity.

[0022] Another object of the present invention is to provide a construction personnel supervision system that integrates RFID and digital twin large-screen technology. The system can calculate the precise position of each construction worker, and through the digital twin technology, map the calculated construction personnel position data to the actual physical coordinates of the monitoring area, and display it on the digital twin large-screen, thereby solving the problem of low precision of current personnel positioning and monitoring technologies.

[0023] As a preferred solution of the construction personnel supervision system integrating RFID and digital twin large screen technology described in the present invention, it includes: a data processing module, a coordinate calculation module, and a real-time monitoring module; the data processing module is used for each construction worker to wear an RFID tag with a unique ID, collect and upload relevant data in real time, filter invalid data and convert signal strength into physical distance; the coordinate calculation module is used to calculate the precise position of each construction worker, and through the digital twin technology, the calculated construction worker position data is mapped to the actual physical coordinates of the monitoring area, and displayed on the digital twin large screen; the real-time monitoring module is used for real-time update of data, and the management personnel monitor the personnel position in real time through the large screen and obtain abnormal information in time.

[0024] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a construction site dispatch command center based on an AR algorithm.

[0025] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a construction site dispatching command center based on an AR algorithm.

[0026] Beneficial effects of the present invention: The construction site dispatching command center based on AR algorithm provided by the present invention collects and uploads accurate location information in real time, and filters invalid data, thereby ensuring the accuracy and real-time nature of the data. At the same time, the mechanism of converting signal strength into physical distance enables the system to accurately locate the position of personnel, avoiding the problem of inaccurate positioning caused by video blur or occlusion in traditional monitoring systems, thereby improving the positioning accuracy and monitoring efficiency of the system. By combining digital twin technology, the real-time location information of construction personnel is presented on the monitoring screen in an intuitive manner, and managers can quickly and intuitively see the exact location of each person, enhancing the visualization effect of monitoring, avoiding the limitation of traditional video monitoring relying on manual visual observation, reducing the complexity of supervision, and making monitoring more efficient and accurate. By updating data in real time and detecting abnormal information, managers can quickly discover potential safety hazards and take countermeasures, improving the safety and effectiveness of monitoring, enhancing the reliability of the system, and greatly improving the safety level of construction personnel supervision through intelligent early warning mechanisms, reducing the risk of human operation errors and delayed response. The present invention achieves better results in terms of efficiency, accuracy and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0028] Figure 1 An overall flow chart of a construction site dispatching command center based on an AR algorithm is provided for the first embodiment of the present invention.

[0029] Figure 2 An overall flow chart of a construction personnel supervision system that integrates RFID and digital twin large-screen technology, provided as a third embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0031] Example 1, reference Figure 1 , is an embodiment of the present invention, which provides a construction site dispatch command center based on AR algorithm, including:

[0032] S1: Each construction worker wears an RFID tag with a unique ID to collect and upload relevant data in real time, filter invalid data and convert signal strength into physical distance.

[0033] Furthermore, real-time collection and uploading of relevant data includes each construction worker wearing an RFID tag with a unique ID, communicating with the RFID reader arranged in the monitoring area through radio frequency signals, continuously scanning all RFID tags within the coverage area, and reading the tag ID and RSSI (signal strength indication) data in real time. The reader uploads the real-time collected tag data to the central MQTT server through the MQTT protocol. The uploaded data packet includes the tag ID, RSSI value and timestamp. The data is uploaded every 3 seconds to provide timely monitoring information.

[0034] It should be noted that filtering invalid data includes using FastAPI web server to connect to the MQTT server, receiving data uploaded by the RFID reader, verifying whether the data format meets expectations, the RSSI value is a number, and the timestamp is in the standard time format; filtering RSSI values ​​below -100dBm or above 0dBm, deduplicating the received data of the same tag, and retaining only the latest data.

[0035] It should also be noted that converting the signal strength to the physical distance includes converting the RSSI value to the physical distance d using the path loss model, expressed as:

[0036]

[0037] RSSI ref is the reference signal strength, which represents the RSSI value measured at a known distance. RSSI is the received RSSI value. n is the path loss index, which reflects the impact of the environment on signal attenuation. The value of n is between 2 and 4 and is adjusted according to the actual environmental conditions. The RSSI data and corresponding physical distance of the same tag are obtained from different RFID readers, and the tag position (x, y) is solved using the trilateral measurement method.

[0038] It should also be noted that the RFID tag with a unique ID worn by each construction worker is the basis for accurate identification of individual identity and location data. By collecting and uploading tag data in real time, the system can ensure that the data of each construction worker will not be confused, especially when multiple people move at the same time. The unique ID can avoid confusion and duplication. By collecting and converting RSSI (signal strength indication) data, a mapping relationship between physical distance and signal strength is established. The RFID signal strength itself is volatile, so the system can eliminate noise and interference and ensure data reliability by filtering out data with RSSI values ​​below -100dBm or above 0dBm.

[0039] S2: Calculate the precise location of each construction worker. Through digital twin technology, map the calculated construction worker location data to the actual physical coordinates of the monitoring area and display it on the digital twin large screen.

[0040] Furthermore, calculating the precise location of each construction worker involves calculating the initial scale based on the actual physical size of the monitored area and the resolution of the actual base map, expressed as:

[0041]

[0042] Among them, pixel_width and pixel_height are the width and height of the large screen, such as 1366 and 768, scale_x_base and scale_y_base are the initial scales, actual_width and actual_height are the actual physical width and height of the monitoring area; according to the real-time environmental data, the scale is dynamically adjusted, which is expressed as:

[0043] scale_x_dynamic=scale_x_base×adjustment_factor_x

[0044] scale_y_dynamic=scale_y_base×adjustment_factor_y

[0045] Among them, adjustment_factor_x and adjustment_factor_y are dynamic adjustment coefficients calculated based on real-time environmental data and historical data.

[0046] It should be noted that the actual physical coordinates mapped to the monitoring area include setting the center point coordinates (X_center, Y_center) of the large screen, such as (683, 384), as the origin of the screen coordinate system, using the calculated dynamic scale and center point coordinates to convert the original physical coordinates (X_raw, Y_raw) into the display coordinates (X_display, Y_display) on the large screen. The conversion process is expressed as:

[0047] X_display=X_center+(X_raw×scale_x_dynamic)

[0048] Y_display=Y_center+(Y_raw×scale_y_dynamic)

[0049] Among them, X_raw and Y_raw are the original physical coordinates obtained from the RFID data, indicating the actual position of the construction workers in the monitoring area. X_center and Y_center are the center point coordinates of the large screen, which are used as the reference point after conversion. scale_x_dynamic and scale_y_dynamic are the scales dynamically adjusted according to the real-time environmental data, which are used to convert physical coordinates into screen coordinates and display the position of the construction workers on the large screen.

[0050] It should also be noted that the digital twin technology is used to map the RFID data to the physical coordinates of the monitoring area in real time. The scale calculation involved is based on the actual size of the monitoring area and the resolution of the large screen. By adjusting the scale to adapt to real-time environmental changes (such as signal interference), dynamic adjustment is achieved. The existing technology is usually unable to adapt to environmental signal changes. The present invention calculates the adjustment factor to enable the scale to be adjusted in real time to ensure that the personnel position can still be accurately mapped in a complex environment. The coordinate conversion formula in the mapping process takes into account the center point and actual physical size of the large screen, so that the actual position of each construction worker can be accurately displayed on the screen. Compared with traditional video surveillance, this mapping method based on physical coordinates provides higher accuracy and intuitiveness, especially in large monitoring areas. It can provide global real-time monitoring through the large screen, avoiding the discontinuity and blind spot problems when personnel move in video surveillance.

[0051] S3: Real-time update of data. Managers can monitor personnel locations in real time through large screens and obtain abnormal information in a timely manner.

[0052] Furthermore, real-time monitoring of personnel locations and timely acquisition of abnormal information include using the digital twin large screen as a WebSocket client, connecting to the FastAPI server, and continuously receiving pushed real-time coordinate data. Each time new location information is received, Canvas is used to draw real-time coordinate points on the large screen. Before drawing new location points, the previous drawings are cleared first, and different colors or marks are used to distinguish different construction personnel. The display refresh frequency is set according to actual needs, and asynchronous processing technology and task queues are used to limit the number of concurrent tasks in the system. The activity flag and restart mechanism are set. By setting the system activity flag, the system automatically detects its own operating status. When an error occurs, the current instance is deactivated, and a restart logic is set to automatically restart the system through a timer or external monitoring tool to restore activity.

[0053] It should be noted that the digital twin large screen, as a WebSocket client, connects to the FastAPI server and continuously receives pushed real-time coordinate data to ensure the stability and low latency of the WebSocket connection to achieve real-time data updates. Each time new location information is received, the real-time coordinate point is drawn on the large screen using Canvas. Before drawing a new location point, the previous drawing is cleared to ensure that the displayed information is always the latest and to avoid screen confusion. Different colors or marks are used to distinguish different construction workers so that monitoring personnel can quickly identify them. The display refresh frequency is set according to actual needs to ensure that the data on the large screen is as synchronized as possible with the actual situation. The setting of the new frequency should balance system performance while ensuring data real-time, and avoid excessive system load due to frequent refreshes; use asynchronous processing technology and task queues to limit the number of concurrent tasks in the system, so that the main thread will not be blocked when processing and transmitting data, and multiple requests can be processed simultaneously; set the activity flag and restart mechanism: by setting the system activity flag (such as self.active), the system can automatically detect its own operating status. When a serious error occurs, it can promptly deactivate the current instance to prevent further system crashes. After the system deactivates the current instance, a restart logic is set to automatically restart the system through a timer or external monitoring tool to restore its activity.

[0054] It should also be noted that by displaying the location in real time on the digital twin large screen and pushing data in combination with the WebSocket client, the system can ensure real-time updates when the location of personnel changes. The data update mechanism ensures the timeliness of the system, and managers can obtain accurate location information at the first time. Combined with the drawing function of Canvas, managers can intuitively identify the locations of different personnel, especially when abnormal situations (such as crossing the boundary or illegal movement) occur, the system can quickly issue an alarm. Compared with existing monitoring technologies, the present invention utilizes asynchronous processing and task queue technology to ensure that data can still be updated in a timely and stable manner in a high-concurrency environment. Traditional systems often cause monitoring lags due to large data volumes and slow responses, and this system makes real-time monitoring feasible by reasonably allocating computing resources. In addition, the system's automatic detection and restart mechanism improves the reliability and stability of the system. Even if a system error occurs, it can automatically resume operation to ensure uninterrupted monitoring.

[0055] Example 2, an embodiment of the present invention, provides a construction site dispatch command center based on AR algorithm. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0056] First, the experimental environment was set in a simulated detention facility with an area of ​​100 square meters, a length of 10 meters and a width of 10 meters. Each construction worker wore an RFID tag with a unique ID. Six construction workers were arranged in the experiment, named construction worker A to construction worker F. RFID readers were set at the four corners of the monitoring area, and the signal strength indication (RSSI) value and timestamp of each tag were collected and transmitted in real time through the MQTT protocol. The RSSI data of each construction worker was collected in real time through the RFID tag and transmitted through FastAPI. The web server filters invalid data. Data filtering includes removing RSSI values ​​with signal strength lower than -100dBm or higher than 0dBm, and deduplicating duplicate data received in a short period of time. In the experiment, special attention was paid to the changes in RSSI values ​​of each construction worker, and the physical distance was calculated based on these data through the path loss model. The experiment used digital twin technology to project the real-time location data of each construction worker onto the large screen in the monitoring area. The mapping ratio between the actual physical coordinates of the monitoring area and the pixel coordinates of the large screen was accurately calculated, and the scale was dynamically adjusted according to the real-time environmental data to ensure the accurate display of the location. The real-time data update of the system ensures the accurate display of the construction worker's location. At the same time, the management personnel can clearly see the movement trajectory of each person through the large screen. When the movement of the construction workers in the experiment exceeded the predetermined range, the system detected these abnormal conditions in real time and issued an alarm prompt through the large screen; refer to Table 1 to record and analyze the process.

[0057] Table 1 Data record table

[0058]

[0059] It can be seen from the table data that after processing, the RSSI data collected by the RFID system can effectively calculate the physical distance between each construction worker and the RFID reader. In the experiment, the changing trend of the initial and final values ​​of RSSI clearly reflects the signal strength fluctuations of the construction workers at different distances. The positioning accuracy of the RFID system is maintained between 89% and 95%, proving that the system can provide high positioning accuracy. The "Physical Distance" column in the table shows the actual distance converted by the RSSI value, and the maximum error does not exceed 0.3 meters, which shows that the distance estimation using the path loss model has high accuracy. In addition, the experiment also monitors the location of the construction workers in real time through digital twin technology, and maps these locations to the display coordinates on the large screen. The position display error is maintained between 0.1 meters and 0.3 meters, proving that the system can still maintain high display accuracy under high load. It is worth noting that the experiment also records the number of abnormal detections. The system can timely detect and warn abnormal behaviors such as crossing the boundary by analyzing the movement trajectory of each construction worker in real time. The data shows that the number of abnormal detections is between 1 and 3 times, indicating that the system has good abnormal behavior warning capabilities, thereby further enhancing the security and intelligence level of monitoring.

[0060] Example 3, reference Figure 2 , is an embodiment of the present invention, and provides a construction personnel supervision system integrating RFID and digital twin large screen technology, including a data processing module, a coordinate calculation module, and a real-time monitoring module.

[0061] The data processing module is used for each construction worker to wear an RFID tag with a unique ID, collect and upload relevant data in real time, filter invalid data and convert signal strength into physical distance; the coordinate calculation module is used to calculate the precise location of each construction worker, and through digital twin technology, the calculated construction worker location data is mapped to the actual physical coordinates of the monitoring area and displayed on the digital twin large screen; the real-time monitoring module is used for real-time update of data, and the management personnel can monitor the personnel location in real time through the large screen and obtain abnormal information in time

[0062] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0063] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0064] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0065] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0066] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A construction site dispatching command center based on AR algorithm, characterized in that: include: Each construction worker wears an RFID tag with a unique ID to collect and upload relevant data in real time, filter invalid data and convert signal strength into physical distance; Calculate the precise location of each construction worker, and use digital twin technology to map the calculated construction worker location data to the actual physical coordinates of the monitoring area and display it on the digital twin large screen; With real-time update of data, managers can monitor personnel locations in real time through large screens and obtain abnormal information in a timely manner.

2. The construction site dispatching command center based on AR algorithm as claimed in claim 1, characterized in that: The real-time collection and uploading of relevant data includes each construction worker wearing an RFID tag with a unique ID, communicating with the RFID reader arranged in the monitoring area through radio frequency signals, continuously scanning all RFID tags within the coverage area, and reading the tag ID and RSSI data in real time. The reader uploads the real-time collected tag data to the central MQTT server through the MQTT protocol. The uploaded data packet includes the tag ID, RSSI value and timestamp.

3. The construction site dispatching command center based on AR algorithm as claimed in claim 2, characterized in that: The filtering of invalid data includes using FastAPIweb server to connect to the MQTT server, receiving data uploaded by the RFID reader, verifying whether the data format is as expected, the RSSI value is a number, and the timestamp is in a standard time format; RSSI values ​​below -100dBm or above 0dBm are filtered, and the received data with the same tag is deduplicated, retaining only the latest data.

4. The construction site dispatching command center based on AR algorithm as claimed in claim 3, characterized in that: The converting of the signal strength into the physical distance includes converting the RSSI value into the physical distance d using a path loss model, which is expressed as: RSSI ref is the reference signal strength, which means the RSSI value measured at a known distance. RSSI is the received RSSI value. n is the path loss index, which reflects the impact of the environment on signal attenuation. The value of n is between 2 and 4 and is adjusted according to the actual environment. Get the RSSI data and corresponding physical distance of the same tag from different RFID readers, and use trilateration to solve the tag position (x, y).

5. The construction site dispatching command center based on AR algorithm as claimed in claim 4, characterized in that: The calculation of the precise position of each construction worker includes calculating the initial scale according to the actual physical size of the monitoring area and the resolution of the actual base map, which is expressed as: Among them, pixel_width and pixel_height are the width and height of the large screen respectively, scale_x_base and scale_y_base are the initial scales, actual_width and actual_height are the actual physical width and height of the monitoring area; According to the real-time environmental data, the scale is adjusted dynamically, expressed as: scale_x_dynamic=scale_x_base×adjustment_factor_x scale_y_dynamic=scale_y_base×adjustment_factor_y Among them, adjustment_factor_x and adjustment_factor_y are dynamic adjustment coefficients calculated based on real-time environmental data and historical data.

6. The construction site dispatching command center based on AR algorithm as claimed in claim 5, characterized in that: The actual physical coordinates mapped to the monitoring area include setting the center point coordinates (X_center, Y_center) of the large screen as the origin of the screen coordinate system, using the calculated dynamic scale and center point coordinates to convert the original physical coordinates (X_raw, Y_raw) into display coordinates (X_display, Y_display) on the large screen. The conversion process is expressed as: X_display=X_center+(X_raw×scale_x_dynamic) Y_display=Y_center+(Y_raw×scale_y_dynamic) Among them, X_raw and Y_raw are the original physical coordinates obtained from the RFID data, indicating the actual position of the construction workers in the monitoring area. X_center and Y_center are the center point coordinates of the large screen, which are used as the reference point after conversion. scale_x_dynamic and scale_y_dynamic are the scales dynamically adjusted according to the real-time environmental data, which are used to convert physical coordinates into screen coordinates and display the position of the construction workers on the large screen.

7. The construction site dispatching command center based on AR algorithm as claimed in claim 6, characterized in that: The real-time monitoring of personnel positions and timely acquisition of abnormal information includes the digital twin large screen as a WebSocket client, connected to the FastAPI server, and continuously receiving pushed real-time coordinate data. Each time new location information is received, the real-time coordinate point is drawn on the large screen using Canvas. Before drawing a new location point, the previous drawing is cleared first, and different colors or marks are used to distinguish different construction personnel. The display refresh frequency is set according to actual needs, and asynchronous processing technology and task queues are used to limit the number of concurrent tasks in the system. An activity flag and a restart mechanism are set. By setting the system activity flag, the system automatically detects its own operating status. When an error occurs, the current instance is deactivated, a restart logic is set, and the system is automatically restarted through a timer or external monitoring tool to restore activity.

8. A system of a construction site dispatch command center based on an AR algorithm as claimed in any one of claims 1 to 7, characterized in that: Including data processing module, coordinate calculation module, real-time monitoring module; The data processing module is used for each construction worker to wear an RFID tag with a unique ID, collect and upload relevant data in real time, filter invalid data and convert signal strength into physical distance; The coordinate calculation module is used to calculate the precise location of each construction worker. Through the digital twin technology, the calculated construction worker location data is mapped to the actual physical coordinates of the monitoring area and displayed on the digital twin large screen; The real-time monitoring module is used to update the data in real time. The management personnel can monitor the positions of personnel in real time through the large screen and obtain abnormal information in time.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the construction site dispatching command center based on the AR algorithm described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the construction site dispatching command center based on the AR algorithm described in any one of claims 1 to 7 are implemented.

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