Method and system for dynamically generating electronic fence in safe area of construction site

Abstract

The invention discloses an electronic fence dynamic generation method and system for a construction site safety area, and relates to the technical field of intelligent construction site safety management, and the method comprises the steps: a system calculates a reference safety distance value based on the topographic data of a construction site and the coordinates of real-time operation equipment; the fence offset is dynamically calculated in combination with operation equipment parameters, and real-time data flow of an environment sensor is accessed; the offset and the environment data are fused, and multi-dimensional calibration is completed through environment influence factor correction calculation; generating a dynamic electronic fence with a gradient alarm function according to the calibrated safety boundary, and mapping the dynamic electronic fence to a digital map of a monitoring platform; and fence data are distributed to a terminal alarm device through an Internet of Things communication protocol, so that closed-loop safety management is realized. According to the invention, the accuracy and real-time performance of construction site safety management can be effectively improved, the accident rate is reduced, and the safety level of construction site operation is remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of construction site safety management technology, and in particular to a method for dynamically generating electronic fences for construction site safety zones. Background Technology

[0002] In modern construction sites, the intensive operation of personnel and equipment, the coordinated work of various machines, and the complex and ever-changing environmental factors pose significant challenges to safety management. Traditional fixed physical fences or static electronic fence systems are ill-suited to the dynamically changing construction site environment and cannot effectively prevent safety accidents such as equipment collisions and personnel accidentally entering dangerous areas.

[0003] Currently, construction site safety protection mainly relies on fixed signs and static isolation measures, which have obvious limitations: First, they cannot adapt to changes in equipment movement and working status in real time; second, they cannot comprehensively consider multi-dimensional factors such as equipment type, movement speed, and working radius; third, they lack the ability to perceive and respond to environmental factors; and fourth, the alarm mechanism is simplistic and cannot achieve graded early warning and precise alarm.

[0004] With the development of IoT, positioning, and artificial intelligence technologies, construction site safety management is evolving towards intelligence, precision, and dynamism. The construction of smart construction sites urgently requires intelligent electronic fence systems that can adapt to environmental changes in real time, accurately assess risk levels, and dynamically adjust safety zones to effectively protect personnel and equipment safety and improve the overall safety management level of the construction site. Summary of the Invention

[0005] A method and system for dynamically generating electronic fences for construction site safety zones, comprising: S1. The system calculates a baseline safety distance based on the terrain data and real-time coordinates of the operating equipment at the construction site, which serves as the initial basis for generating the electronic fence. S2. Based on the baseline safety distance, and further combined with the type of operating equipment, real-time movement speed and working radius parameters, the fence offset of the equipment is dynamically calculated, and the real-time data stream of the environmental sensor is simultaneously connected. S3. The device's specific fence offset is fused with real-time data from environmental sensors, and multi-dimensional calibration is performed through environmental impact factor correction calculations. S4. Based on the calibrated safety boundary, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it to the digital map of the construction site monitoring platform. S5. Electronic fence data is distributed to terminal alarm devices through IoT communication protocols to complete closed-loop security management.

[0006] The above-described method for dynamically generating electronic fences for construction site safety zones includes the following sub-steps: The system calculates a baseline safety distance based on the site's terrain data and real-time coordinates of operating equipment, serving as the initial basis for electronic fence generation. By comprehensively analyzing the site's topographic elevation, slope changes, surface obstacle distribution, and geological conditions, a terrain safety model is established, and the initial safety distance benchmark value is calculated accordingly. The system acquires and integrates dynamic coordinate information of various operating equipment in real time, and combines the static attributes of the equipment with the current operating status to dynamically adjust and optimize the initial safety distance benchmark value, thereby generating a benchmark safety distance value suitable for the current actual operating scenario.

[0007] The above-described method for dynamically generating electronic fences for construction site safety zones includes the following sub-steps: Based on a baseline safety distance, and further combined with parameters such as the type of operating equipment, real-time movement speed, and working radius, a fence offset specific to each equipment is dynamically calculated, while simultaneously accessing real-time data streams from environmental sensors. Based on the mechanical type, structural characteristics, and safe operating procedures of the equipment, determine its inherent safety factor and minimum operating space requirements; Real-time monitoring of equipment speed, steering angle and working radius changes, combined with kinematic model to predict its dynamic behavior, and calculation of dynamic safety offset; It continuously receives and analyzes real-time data streams from environmental sensors, such as wind speed, visibility, humidity, and vibration data, providing input for subsequent multi-source data fusion and boundary calibration.

[0008] The above-described method for dynamically generating electronic fences for construction site safety zones involves fusing device-specific fence offsets with real-time data from environmental sensors and performing multi-dimensional calibration through environmental impact factor correction calculations. This includes the following sub-steps: Based on real-time data collected by environmental sensors, a multi-factor environmental impact assessment model is constructed to quantitatively calculate the comprehensive impact coefficient of various environmental factors on the safe distance and obtain the environmental impact coefficient. By combining the device-specific fence offset with the environmental impact coefficient through multi-dimensional weighted fusion processing, precise correction and dynamic calibration of the safety boundary can be achieved.

[0009] The above-described method for dynamically generating electronic fences for construction site safety zones includes the following sub-steps: The system automatically generates a dynamic electronic fence with gradient alarm functionality based on calibrated safety boundaries and maps it onto a digital map of the construction site monitoring platform. Based on the different risk level areas divided by the calibrated safety boundary, a multi-level alarm mechanism including early warning, alarm, and emergency alarm is set up respectively; For each alarm zone, corresponding triggering conditions, alarm thresholds, and response strategies are configured to achieve a tiered alarm function from low to high, thereby improving the accuracy and effectiveness of security monitoring.

[0010] The above-described method for dynamically generating electronic fences for construction site safety zones includes setting up multi-level alarm mechanisms such as early warning, general alarm, and emergency alarm based on different risk level zones divided by the calibrated safety boundary. The method comprises the following sub-steps: Based on the equipment's historical movement trajectory data, real-time location information, and the frequency of past safety incidents, high-risk work areas and high-frequency intrusion areas are identified and marked. Based on the current work progress, equipment coordination status, and personnel distribution, dynamically optimize the size, risk level, and corresponding alarm triggering conditions of each alarm zone.

[0011] The method for dynamically generating electronic fences for construction site safety zones, as described above, involves distributing electronic fence data to terminal alarm devices via an Internet of Things (IoT) communication protocol to achieve closed-loop safety management. This method includes the following sub-steps: The dynamically generated electronic fence boundary data, alarm levels, and device information are encapsulated into protocol data packets that conform to IoT communication standards. Data packets are reliably and stably distributed to various terminal alarm devices, including handheld smart terminals, vehicle-mounted display devices, and fixed audible and visual alarms, through wireless sensor networks or dedicated construction site communication systems, to achieve real-time closed-loop management of safety warning information.

[0012] A dynamic generation system for electronic fences of safety zones at construction sites, comprising: Data acquisition and processing module: The system calculates the baseline safety distance value based on the terrain data of the construction site and the real-time coordinates of the operating equipment, which serves as the initial basis for generating the electronic fence; Intelligent Analysis and Calculation Engine Module: Based on the baseline safety distance, it further combines the type of operating equipment, real-time movement speed and working radius parameters to dynamically calculate the equipment-specific fence offset, and simultaneously access the real-time data stream from environmental sensors; it fuses the equipment-specific fence offset with the real-time data from environmental sensors, and performs multi-dimensional calibration through environmental influencing factor correction calculation; Visualization and mapping module: Based on the calibrated safety boundary, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it to the digital map of the construction site monitoring platform; Communication and Terminal Execution Module: Distributes electronic fence data to terminal alarm devices through IoT communication protocols to complete closed-loop security management.

[0013] A computer storage medium, characterized in that it comprises: at least one memory and at least one processor; Memory, used to store one or more program instructions; A processor for running one or more program instructions to execute a method for dynamically generating an electronic fence for a construction site safety area as described in any of the preceding claims.

[0014] The beneficial effects achieved by this invention are as follows: By comprehensively integrating terrain data, real-time equipment coordinates, and multi-source environmental sensor information, the system can dynamically calculate and calibrate safety boundaries, enabling electronic fences to have high environmental adaptability and real-time response, effectively overcoming the rigid limitations of traditional fixed fences. The introduced multi-level gradient alarm mechanism can intelligently classify risk levels based on equipment type, motion status and environmental factors, and realize refined control from early warning to emergency alarm, significantly reducing the probability of false alarms and missed alarms, and improving the overall safety of the construction area. Relying on IoT communication protocols and digital map visualization platforms, a closed-loop management system covering the entire chain from data perception and processing to alarm push has been achieved, improving the efficiency and response speed of security management. With its flexible system architecture and configurable algorithms, the system boasts excellent scalability and engineering applicability, making it suitable for construction scenarios of different scales and types. It provides reliable technical support for smart construction site development and has significant practical and promotional value. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0016] Figure 1 This is a flowchart of a method for dynamically generating electronic fences for safety zones at construction sites, provided in an embodiment of this application.

[0017] Figure 2 This is a schematic diagram of a dynamic generation system for electronic fences of construction site safety areas provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1 like Figure 1 As shown in the figure, an embodiment of this application provides a method for dynamically generating an electronic fence for a construction site safety area, comprising: Step S1: The system calculates a baseline safety distance value based on the terrain data and real-time coordinates of the operating equipment at the construction site, which serves as the initial basis for generating the electronic fence. Specifically, the system constructs a terrain safety model by comprehensively analyzing multi-dimensional data such as site elevation, slope changes, surface obstacle distribution, and geological conditions, and calculates the initial safety distance benchmark value accordingly. Simultaneously, it acquires and integrates the dynamic coordinate information of various operating equipment in real time, and dynamically adjusts and optimizes the initial safety distance benchmark value by combining the equipment's static attributes and current operating status. Finally, it generates an accurate safety distance value suitable for the current actual operating scenario, including the following sub-steps: Step S11: Comprehensively analyze the site's terrain elevation, slope changes, surface obstacle distribution, and geological conditions data to establish a terrain safety model, and calculate the initial safety distance benchmark value accordingly. By integrating multi-source terrain information from the construction site, including elevation raster data, slope and aspect distribution, location and outline of surface obstacles, and soil stability indicators from geological survey reports, a terrain safety assessment system for calculating safe distances is constructed. Based on this system, a weighted fusion method is used to quantify various terrain factors into terrain risk coefficients, with higher elevation areas, steep slope areas, areas with dense obstacles, and areas with soft soil being assigned higher risk weights. The system maps the terrain risk coefficients to initial safe distance benchmark values ​​based on preset safety standards and engineering experience values, expressed by the following formula:

[0020] in, Indicates position The initial safe distance reference value at the location; This indicates the minimum safe distance preset based on safety standards and engineering experience; This indicates the maximum safe distance preset based on safety standards and engineering experience; Indicates position The terrain risk factor at the location; Indicates the gain coefficient; This represents the smoothing parameter.

[0021] Step S12: Real-time acquisition and fusion of dynamic coordinate information of various operating equipment, combined with equipment static attributes and current operating status, to dynamically adjust and optimize the initial safety distance benchmark value, and generate a benchmark safety distance value suitable for the current actual operating scenario; The IoT positioning module collects GNSS coordinates and elevation data of various operating equipment in real time, and obtains static attribute parameters of the equipment, including equipment type, dimensions, working radius, maximum operating height, etc., as well as dynamic operating status such as current speed, steering angle, load status, and boom extension. The influence range weight is determined according to equipment type, and a dynamic risk surcharge is calculated based on real-time movement status. Through a multi-source data fusion mechanism, the initial safety distance benchmark value is superimposed with the equipment-related risk values, and a time decay factor is introduced to smooth the impact of instantaneous coordinate fluctuations. Finally, a benchmark safety distance value that adaptively changes with the operating environment and equipment status is output as the accurate basis for generating the electronic fence.

[0022] Step S2: Based on the baseline safety distance, and further combined with the type of operating equipment, real-time movement speed and working radius parameters, dynamically calculate the fence offset specific to the equipment, and simultaneously connect to the real-time data stream of the environmental sensor; Specifically, by comprehensively considering the mechanical type, structural characteristics, and minimum operating space required by the operating equipment, its inherent safety factor is determined. Based on this, the equipment's movement speed, turning angle, and working radius are monitored in real time, and its dynamic behavior is predicted using a kinematic model to calculate the dynamic safety offset. Simultaneously, real-time data streams from environmental sensors are continuously accessed and analyzed, including various sensor information such as wind speed, visibility, humidity, and vibration, providing data support for subsequent multi-source data fusion and precise boundary calibration. This includes the following sub-steps: Step S21: Determine the inherent safety factor and minimum operating space requirement of the operating equipment based on its mechanical type, structural characteristics, and safe operating procedures. By consulting the technical manuals and industry safety operation standards provided by the equipment manufacturer, and considering the actual structural dimensions and motion characteristics of the equipment, its basic safety boundaries and minimum operating space requirements are identified. Based on this, a weighting factor for equipment type and a structural complexity coefficient are introduced, and the inherent safety factor of the equipment is expressed using the following formula to reflect its basic safety requirements under static conditions:

[0023] in, Indicates the inherent safety factor; Indicates the weighting factor for equipment type; Indicates the structural complexity coefficient; Indicates the static projected area of ​​the equipment; Indicates the minimum working radius; Indicates the maximum steering angle; Indicates the characteristic length of the device.

[0024] Step S22: Monitor the changes in the equipment's movement speed, steering angle, and working radius in real time, predict its dynamic behavior by combining the kinematic model, and calculate the dynamic safety offset. Sensors installed on key moving parts of the equipment collect motion data in real time, and based on kinematic principles, predict its motion trajectory and spatial occupancy over a future period. By integrating current speed, angular velocity, and mechanical extension status, the additional safety buffer distance required by the equipment during movement is calculated, thus forming a dynamic safety offset. This ensures that a sufficient safety zone is maintained during equipment movement. The dynamic safety offset is expressed by the following formula:

[0025] in, Indicates dynamic safety offset; This indicates the maximum possible displacement range of the equipment within the predicted time. This represents the device's real-time velocity vector; Indicates the forecast time window; This represents the device's real-time acceleration vector; Indicates the change in working radius; Represents the sine function; It represents angular acceleration.

[0026] Step S23: Continuously access and parse real-time data streams from environmental sensors, including wind speed, visibility, humidity, and vibration data, to provide input for subsequent multi-source data fusion and boundary calibration; By deploying various environmental sensors at the work site, environmental parameters such as wind speed and direction, air visibility, ground humidity, and mechanical vibration are acquired in real time. After signal conditioning and preliminary filtering, the data is sent to the data analysis module to extract key environmental features that may affect the stability of the safe area, providing a reliable data foundation for subsequent comprehensive judgment and dynamic calibration of the fence boundary.

[0027] Step S3: Fuse the device-specific fence offset with real-time data from environmental sensors, and perform multi-dimensional calibration through environmental impact factor correction calculation; Specifically, based on real-time data collected by environmental sensors, a multi-factor environmental impact assessment model is constructed to quantitatively calculate the comprehensive impact coefficient of various environmental factors on the safety distance, thus obtaining the environmental impact coefficient. Subsequently, the fence offset specific to the device and the obtained environmental impact coefficient are subjected to multi-dimensional weighted fusion processing to achieve precise correction and dynamic calibration of the safety boundary, thereby improving the system's adaptability and accuracy under different environmental conditions. This includes the following sub-steps: Step S31: Based on the real-time data collected by environmental sensors, construct a multi-factor environmental impact assessment model, quantitatively calculate the comprehensive impact coefficient of various environmental factors on the safe distance, and obtain the environmental impact coefficient. Environmental sensors are used to acquire various environmental parameters in real time, including temperature, humidity, visibility, wind speed, and ground slipperiness, establishing a mapping relationship between each parameter and the safe distance. Multivariate comprehensive analysis is employed to assess the independent and interactive influence of various environmental factors on the safe area, thereby calculating the comprehensive influence coefficient under the current environment. The comprehensive influence coefficient is expressed by the following formula:

[0028] in, Indicates the environmental impact coefficient; Indicates the total number of single factors; Indicates the index of a single factor; The weighting coefficients representing the influence of a single factor; Indicates the slope of parameter sensitivity; Indicates the first A single-factor input variable; This represents the threshold, which is The critical value; Indicates the weight of the greatest influence; This indicates summing over all distinct factor pairs; Represents the weighting coefficients of cross-factor coupling; Indicates the cross-coupling coefficient; Indicates the first The influence coefficient of each environmental factor; This represents a small constant, used to avoid cases where the denominator is zero, thus ensuring the continuity of the function and the stability of numerical calculations.

[0029] Step S32: Perform multi-dimensional weighted fusion processing on the device-specific fence offset and environmental impact coefficient to achieve accurate correction and dynamic calibration of the safety boundary; The initial fence offset set by the device is weighted and fused with the aforementioned environmental influence coefficient in a multi-dimensional space. The weight of each dimension is dynamically allocated according to the importance of different environmental factors in the actual application scenario. Through real-time updates and iterative calculations, continuous calibration of the safety boundary range is achieved, ensuring that the electronic fence can maintain high accuracy and strong adaptability under various complex environmental conditions.

[0030] Step S4: Based on the calibrated safety boundary, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it to the digital map of the construction site monitoring platform; Specifically, based on the calibrated safety boundaries, different risk level zones are divided, and multi-level alarm mechanisms such as early warning, alarm, and emergency alarm are set. By identifying and marking high-risk operation areas and high-frequency intrusion areas, and combining the current operation progress, equipment coordination status, and personnel distribution, the scope, risk level, and corresponding alarm triggering conditions of each alarm zone are dynamically optimized. Corresponding triggering conditions, alarm thresholds, and response strategies are configured for each alarm level zone, achieving a gradient alarm function from low to high, thereby improving the accuracy and effectiveness of safety monitoring. This includes the following sub-steps: Step S41: Based on the different risk level areas divided by the calibrated safety boundary, set up multi-level alarm mechanisms such as early warning, alarm and emergency alarm respectively; Step S411: Based on the equipment's historical movement trajectory data, real-time location information, and the frequency of past safety incidents, identify and mark high-risk work areas and high-frequency intrusion areas; By collecting and analyzing historical trajectories and real-time coordinates uploaded by positioning terminals installed on equipment and personnel, and combining them with the location and type of past events recorded in the safety event database, statistical analysis methods are used to calculate the trajectory density and event frequency of each area unit per unit time. Based on preset risk judgment rules, area units with frequent trajectory intersections, complex equipment dynamics, and high historical event occurrence rates are identified as high-risk operation areas or high-frequency intrusion areas, and are prominently marked on the digital map with different colors or symbols, providing spatial basis for subsequent graded alarms.

[0031] Step S412: Based on the current work progress, equipment coordination status and personnel distribution, dynamically optimize the range size, risk level and corresponding alarm triggering conditions of each alarm zone; Based on real-time work progress plans, collaborative work status between equipment, and personnel location data obtained from the site management system, the actual risk level of each area is dynamically assessed. According to changes in construction stages, shifts in key work areas, and concentration of personnel, machinery, and materials, the geographical scope and risk level of each alarm sub-area in the electronic fence are adaptively adjusted, and the corresponding alarm triggering conditions are updated synchronously. For example, during collaborative hoisting operations of large equipment, the high-risk area is temporarily expanded and the alarm sensitivity is increased, thereby ensuring that the alarm mechanism always matches the actual construction status and risk situation on site.

[0032] Step S42: Configure corresponding triggering conditions, alarm thresholds and response strategies for each alarm zone to achieve a gradient alarm function from low to high, thereby improving the accuracy and effectiveness of security monitoring. Different triggering conditions and alarm thresholds are set for areas with different risk levels. In the early warning area, a lower intrusion judgment threshold is set and an audible prompt is used as the response strategy. In the alarm area, a combined audible and visual alarm is used and the on-site broadcast is linked to issue a warning. In the emergency alarm area, mandatory intervention measures such as equipment speed limit or area power cut are implemented. By monitoring the dynamic behavior of personnel and equipment in the area in real time, it is determined whether the triggering conditions of the corresponding alarm level are met, and alarm actions are executed according to the preset response strategy. At the same time, the alarm information is pushed to the monitoring terminal and the terminal of the responsible person, forming a hierarchical response and hierarchical reporting security monitoring mechanism.

[0033] Step S5: Distribute the electronic fence data to the terminal alarm device through the Internet of Things communication protocol to complete closed-loop security management; Specifically, dynamically generated electronic fence boundary data, alarm levels, and related equipment information are encapsulated into protocol data packets conforming to IoT communication standards. These data packets are then reliably and stably distributed to various terminal alarm devices, including handheld smart terminals, vehicle-mounted display devices, and fixed audible and visual alarms, via wireless sensor networks or dedicated construction site communication systems. This enables real-time transmission and closed-loop management of safety warning information, and includes the following sub-steps: Step S51: Encapsulate the dynamically generated electronic fence boundary data, alarm level, and device information into a protocol data packet that conforms to the Internet of Things communication standard; According to the IoT communication protocol specification, the geometric boundary coordinates of the electronic fence, alarm triggering conditions, device number and its area identifier are structured and encoded, and encapsulated using a lightweight data exchange format. Control information such as protocol version, data length and checksum are inserted into the header of the data packet to ensure that the data format meets the communication standard requirements. At the same time, redundant encoding and cyclic redundancy check are performed on the data content to improve the integrity and reliability of data transmission and avoid information distortion or parsing failure due to transmission errors.

[0034] Step S52: Through a wireless sensor network or a dedicated construction site communication system, data packets are stably and reliably distributed to various terminal alarm devices, including handheld smart terminals, vehicle-mounted display devices and fixed sound and light alarms, to achieve real-time closed-loop management of safety warning information. Relying on the wireless sensor network or dedicated IoT communication links such as LoRa and ZigBee deployed on the construction site, a strategy combining time division multiple access and retransmission mechanisms is adopted to broadcast or unicast data packets in multiple communication time slots according to priority. During transmission, channel quality and packet loss rate are monitored in real time, and the transmission power and communication rate are dynamically adjusted to adapt to the communication conditions in complex construction site environments. After the data packets arrive at the terminal device, the built-in parsing module extracts electronic fence information and alarm commands, triggering the corresponding level of audible and visual alarms or graphical prompts. At the same time, the device reception status and user confirmation feedback are sent back to the central management system, forming a complete closed loop for the transmission and reception of early warning information, ensuring the effectiveness and traceability of the safety management process.

[0035] Example 2 like Figure 2 As shown, Embodiment 2 of this application provides a dynamic generation system for electronic fences of construction site safety areas, including: Data Acquisition and Processing Module 21: Based on the terrain data and real-time coordinates of the operating equipment at the construction site, the system calculates a baseline safety distance value as the initial basis for generating the electronic fence. This module includes the following sub-modules: Topographic safety analysis submodule 211: Comprehensively analyze the site's topographic elevation, slope changes, surface obstacle distribution and geological conditions data, establish a topographic safety model, and calculate the initial safety distance benchmark value accordingly; Dynamic safety optimization submodule 212: Real-time acquisition and fusion of dynamic coordinate information of various operating equipment, combined with equipment static attributes and current operating status, to dynamically adjust and optimize the initial safety distance benchmark value, and generate a benchmark safety distance value suitable for the current actual operating scenario; Intelligent Analysis and Computation Engine Module 22: Based on the baseline safety distance, it further combines the type of operating equipment, real-time movement speed, and working radius parameters to dynamically calculate the equipment-specific fence offset, while simultaneously accessing the real-time data stream from environmental sensors; it fuses the equipment-specific fence offset with the real-time data from environmental sensors, and performs multi-dimensional calibration through environmental impact factor correction calculations, including the following sub-modules: Static parameter calibration submodule 221: Determines the inherent safety factor and minimum operating space requirement of the operating equipment based on its mechanical type, structural characteristics and safe operating procedures; Dynamic offset calculation submodule 222: Real-time monitoring of the equipment's movement speed, turning angle and working radius changes, combined with kinematic model to predict its dynamic behavior, and calculates the dynamic safety offset; Environmental data access and parsing submodule 223: continuously accesses and parses real-time data streams from environmental sensors, such as wind speed, visibility, humidity, and vibration data, to provide input for subsequent multi-source data fusion and boundary calibration; Environmental Impact Assessment Submodule 224: Based on real-time data collected by environmental sensors, a multi-factor environmental impact assessment model is constructed to quantitatively calculate the comprehensive impact coefficient of various environmental factors on the safety distance and obtain the environmental impact coefficient. Multi-source fusion boundary correction submodule 225: Performs multi-dimensional weighted fusion processing on the device-specific fence offset and environmental impact coefficient to achieve accurate correction and dynamic calibration of the safety boundary; Visualization and Mapping Module 23: Based on the calibrated safety boundary, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it to the digital map of the construction site monitoring platform. This includes the following sub-modules: Alarm classification configuration submodule 231: Based on the different risk level areas divided by the calibrated safety boundary, set up multi-level alarm mechanisms such as early warning, alarm and emergency alarm respectively; Alarm rule setting submodule 232: Configure corresponding trigger conditions, alarm thresholds and response strategies for each level of alarm zone to realize a gradient alarm function from low to high, and improve the accuracy and effectiveness of security monitoring; Communication and Terminal Execution Module 24: Distributes electronic fence data to terminal alarm devices via IoT communication protocols to complete closed-loop security management, including the following sub-modules: Protocol conversion submodule 241: encapsulates dynamically generated electronic fence boundary data, alarm levels, and device information into protocol data packets that conform to IoT communication standards; Multi-terminal communication submodule 242: Through a wireless sensor network or a dedicated construction site communication system, data packets are stably and reliably distributed to various terminal alarm devices, including handheld smart terminals, vehicle-mounted display devices and fixed audible and visual alarms, to achieve real-time closed-loop management of safety warning information; Corresponding to the above embodiments, the present invention provides a computer storage medium, including: at least one memory and at least one processor; The memory is used to store one or more program instructions; A processor for running one or more program instructions to execute a method for dynamically generating electronic fences for construction site safety zones; Corresponding to the above embodiments, this embodiment of the invention provides a computer-readable storage medium containing one or more program instructions, which are executed by a processor to provide a method for dynamically generating an electronic fence for a construction site safety area.

[0036] The embodiments disclosed in this invention provide a computer-readable storage medium storing computer program instructions. When the computer program instructions are executed on a computer, the computer performs the above-described method for dynamically generating electronic fences for construction site safety areas.

[0037] In this embodiment of the invention, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0038] The various methods, steps, and logic diagrams disclosed in the embodiments of this invention can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The processor reads information from the storage medium and, in conjunction with its hardware, completes the steps of the above methods.

[0039] The storage medium can be memory, such as volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.

[0040] Among them, non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory.

[0041] Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (Synchlink DRAM, SLDRAM), and direct memory bus RAM (DRRAM).

[0042] The storage media described in the embodiments of the present invention are intended to include, but are not limited to, these and any other suitable types of memory.

[0043] Those skilled in the art will recognize that, in one or more of the examples above, the functions described in this invention can be implemented using a combination of hardware and software. When applied as software, the corresponding functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transmission of computer programs from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0044] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, or improvements made on the basis of the technical solution of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for dynamically generating electronic fences for safety zones at construction sites, characterized in that, include: S1. The system calculates a baseline safety distance based on the terrain data and real-time coordinates of the operating equipment at the construction site, which serves as the initial basis for generating the electronic fence. S2. Based on the baseline safety distance, and further combined with the type of operating equipment, real-time movement speed and working radius parameters, the fence offset of the equipment is dynamically calculated, and the real-time data stream of the environmental sensor is simultaneously connected. S3. The device's specific fence offset is fused with real-time data from environmental sensors, and multi-dimensional calibration is performed through environmental impact factor correction calculations. S4. Based on the calibrated safety boundary, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it to the digital map of the construction site monitoring platform. S5. Electronic fence data is distributed to terminal alarm devices through IoT communication protocols to complete closed-loop security management.

2. The method for dynamically generating electronic fences for construction site safety areas according to claim 1, characterized in that, The system calculates a baseline safety distance based on the terrain data and real-time coordinates of the operating equipment at the construction site, serving as the initial basis for generating the electronic fence. This includes the following sub-steps: By comprehensively analyzing the site's topographic elevation, slope changes, surface obstacle distribution, and geological conditions, a terrain safety model is established, and the initial safety distance benchmark value is calculated accordingly. The system acquires and integrates dynamic coordinate information of various operating equipment in real time, and combines the static attributes of the equipment with the current operating status to dynamically adjust and optimize the initial safety distance benchmark value, thereby generating a benchmark safety distance value suitable for the current actual operating scenario.

3. The method for dynamically generating electronic fences for construction site safety areas according to claim 1, characterized in that, Based on the baseline safety distance, and further combined with the type of operating equipment, real-time movement speed, and working radius parameters, the fence offset specific to the equipment is dynamically calculated, and the real-time data stream from environmental sensors is simultaneously connected, including the following sub-steps: Based on the mechanical type, structural characteristics, and safe operating procedures of the equipment, determine its inherent safety factor and minimum operating space requirements; Real-time monitoring of equipment speed, steering angle and working radius changes, combined with kinematic model to predict its dynamic behavior, and calculation of dynamic safety offset; It continuously receives and analyzes real-time data streams from environmental sensors, including wind speed, visibility, humidity, and vibration data, providing input for subsequent multi-source data fusion and boundary calibration.

4. The method for dynamically generating electronic fences for construction site safety areas according to claim 1, characterized in that, The device-specific fence offset is fused with real-time data from environmental sensors, and multi-dimensional calibration is performed through environmental impact factor correction calculations, including the following sub-steps: Based on real-time data collected by environmental sensors, a multi-factor environmental impact assessment model is constructed to quantitatively calculate the comprehensive impact coefficient of various environmental factors on the safe distance and obtain the environmental impact coefficient. By combining the device-specific fence offset with the environmental impact coefficient through multi-dimensional weighted fusion processing, precise correction and dynamic calibration of the safety boundary can be achieved.

5. The method for dynamically generating electronic fences for construction site safety areas according to claim 1, characterized in that, Based on the calibrated safety boundaries, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it onto the digital map of the construction site monitoring platform, including the following sub-steps: Based on the different risk level areas divided by the calibrated safety boundary, a multi-level alarm mechanism including early warning, alarm, and emergency alarm is set up respectively; For each alarm zone, corresponding triggering conditions, alarm thresholds, and response strategies are configured to achieve a tiered alarm function from low to high, thereby improving the accuracy and effectiveness of security monitoring.

6. The method for dynamically generating an electronic fence for a construction site safety area according to claim 5, characterized in that, Based on the different risk level zones defined by the calibrated safety boundary, a multi-level alarm mechanism is set up, including early warning, alarm, and emergency alarm, comprising the following sub-steps: Based on the equipment's historical movement trajectory data, real-time location information, and the frequency of past safety incidents, high-risk work areas and high-frequency intrusion areas are identified and marked. Based on the current work progress, equipment coordination status, and personnel distribution, dynamically optimize the size, risk level, and corresponding alarm triggering conditions of each alarm zone.

7. The method for dynamically generating electronic fences for construction site safety zones according to claim 1, characterized in that, The electronic fence data is distributed to the terminal alarm device through the Internet of Things (IoT) communication protocol to complete closed-loop security management, including the following sub-steps: The dynamically generated electronic fence boundary data, alarm levels, and device information are encapsulated into protocol data packets that conform to IoT communication standards. Data packets are reliably and stably distributed to various terminal alarm devices, including handheld smart terminals, vehicle-mounted display devices, and fixed audible and visual alarms, through wireless sensor networks or dedicated construction site communication systems, to achieve real-time closed-loop management of safety warning information.

8. A dynamic generation system for electronic fences of construction site safety zones, characterized in that, include: Data acquisition and processing module: The system calculates the baseline safety distance value based on the terrain data of the construction site and the real-time coordinates of the operating equipment, which serves as the initial basis for generating the electronic fence; Intelligent Analysis and Calculation Engine Module: Based on the baseline safety distance, it further combines the type of operating equipment, real-time movement speed and working radius parameters to dynamically calculate the equipment-specific fence offset, and simultaneously access the real-time data stream from environmental sensors; it fuses the equipment-specific fence offset with the real-time data from environmental sensors, and performs multi-dimensional calibration through environmental influencing factor correction calculation; Visualization and mapping module: Based on the calibrated safety boundary, the system automatically generates a dynamic electronic fence with gradient alarm function and maps it to the digital map of the construction site monitoring platform; Communication and Terminal Execution Module: Distributes electronic fence data to terminal alarm devices through IoT communication protocols to complete closed-loop security management.

9. A computer storage medium, characterized in that, include: At least one memory and at least one processor; Memory, used to store one or more program instructions; A processor for running one or more program instructions to execute a method for dynamically generating an electronic fence for a construction site safety area as described in any one of claims 1-7.

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