Tower crane construction safety guarantee method and system

Abstract

The invention relates to the technical field of tower crane safety monitoring, and discloses a tower crane construction safety guarantee method and system.The method comprises the steps that a multi-tower crane cross operation area is dynamically recognized based on tower crane parameter data and real-time operation state data, and a dynamic distribution diagram of the cross operation area is obtained; based on the tower crane load data and the environment parameter data, tower crane operation stability evaluation is conducted, and an operation stability evaluation value is obtained; performing dynamic collision risk analysis based on the dynamic distribution map and the operation stability evaluation value to obtain a dynamic collision risk index; setting an adaptive safety distance threshold based on the dynamic collision risk index; and grading early warning and intervention control are carried out based on a self-adaptive safety distance threshold. Through collection and fusion analysis of multi-dimensional data, comprehensive perception and dynamic monitoring of a multi-tower crane operation environment are realized, and dispersed tower crane safety monitoring can be integrated into a cooperative system, so that the safety management level of a construction site is remarkably enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of tower crane safety monitoring, and in particular to a tower crane construction safety assurance method and system. Background Art

[0002] The tower crane construction safety assurance system based on intelligent monitoring mainly uses a variety of sensor technologies to monitor the operating status of the tower crane in real time, including weight sensors, inclination sensors, wind speed sensors and displacement sensors; these sensors can continuously collect key parameter data during the operation of the tower crane, such as lifting weight, boom angle, wind force and position information; the system transmits this information to the central processing unit through the data acquisition module, and after algorithm analysis, it determines the current safety status of the tower crane; when potential danger is detected, the early warning system will immediately issue an audible and visual alarm to remind the operator to take necessary measures to avoid risks; in addition, the system is also equipped with a data recording function, which can track and analyze the operating status of the tower crane over a long period of time, providing data support for safety management.

[0003] However, in actual applications, current tower crane safety monitoring systems are unable to accurately identify and predict collision risks in complex, intersecting crane environments. This is particularly true at large-scale construction sites where multiple cranes operate collaboratively. Due to the overlapping operating radii of each crane, traditional systems rely solely on fixed safety distance thresholds for early warning. They are unable to adjust warning parameters based on operational dynamics and the real-time environment, resulting in frequent false alarms and missed alarms. False alarms can reduce construction efficiency, while missed alarms can lead to serious safety accidents. Existing technologies primarily rely on manual visual observation and empirical judgment to avoid such collisions. The lack of intelligent and adaptive early warning mechanisms makes it difficult to effectively control safety risks in tower crane intersecting operation areas.

[0004] Therefore, how to provide a tower crane construction safety assurance method and system that can fully perceive and dynamically monitor the multi-tower crane operating environment is an urgent problem to be solved. Summary of the Invention

[0005] The present invention provides a tower crane construction safety assurance method and system to solve the above technical problems in the prior art.

[0006] According to a first aspect of the present invention, a tower crane construction safety assurance method is provided.

[0007] The tower crane construction safety assurance method comprises:

[0008] Obtain tower crane parameter data, tower crane load data, tower crane real-time operation status data and tower crane environmental parameter data;

[0009] Dynamically identify the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data, and obtain a dynamic distribution map of the cross-operation area;

[0010] Evaluate the tower crane operation stability based on the tower crane load data and environmental parameter data to obtain an operation stability evaluation value;

[0011] Perform dynamic collision risk analysis based on the dynamic distribution map and operation stability assessment value to obtain a dynamic collision risk index;

[0012] An adaptive safety distance threshold is set based on the dynamic collision risk index; and graded warning and intervention control are performed based on the adaptive safety distance threshold.

[0013] Optionally, the tower crane parameter data includes: tower crane position spatial coordinate data, boom rotation angle data, boom elevation angle data, boom extension length data, and hook height data.

[0014] Optionally, the tower crane load data includes: hook load weight data.

[0015] Optionally, the real-time operation status data of the tower crane includes: tower crane operation instruction data and current operation status data.

[0016] Optionally, the tower crane environmental parameter data includes: wind speed data, wind direction data, and visibility data of the environment in which the tower crane is located.

[0017] Among them, the cross-operation area of ​​multiple tower cranes is dynamically identified based on the tower crane parameter data and real-time operation status data, and the dynamic distribution map of the cross-operation area is obtained, including: calculating the real-time operation radius and coverage range of each tower crane based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data; analyzing the overlapping areas of the operation spaces of multiple tower cranes based on the real-time operation radius and coverage range of each tower crane, and obtaining a potential cross-operation area range map; predicting and analyzing the tower crane operation trajectory according to the tower crane operation instruction data and current operation status data, combined with historical operation modes, to obtain the expected motion trajectory of each tower crane in the future time window; updating the potential cross-operation area range map based on the expected motion trajectory, and obtaining a dynamic distribution map of the cross-operation area.

[0018] Among them, based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data, the real-time operating radius and coverage range of each tower crane are calculated, including: based on the boom extension length data and boom elevation data, the horizontal projection distance from the end of the boom to the center point of the tower body is calculated to obtain the current actual operating radius of the tower crane; according to the coordinates of the tower center point, the boom rotation angle data, the actual operating radius and the hook height data, a three-dimensional operating space model of each tower crane is constructed; based on the three-dimensional operating space model, operation simulation is performed to obtain the coverage range of the tower crane's real-time operation.

[0019] Among them, based on the real-time operating radius and coverage range of each tower crane, the overlapping areas of the operating spaces of multiple tower cranes are analyzed to obtain a potential cross-operation area range map, including: projecting the three-dimensional operating space model of each tower crane into a unified construction site coordinate system to generate a unified spatial representation; using a spatial calculation algorithm to identify and mark the intersection areas of the operating spaces of different tower cranes, and calculate the spatial volume and boundary coordinates of the intersection areas; assigning risk weights to the intersection areas according to the operating frequency and operation type of each tower crane, and generating a potential cross-operation area heat map containing risk level identification; based on historical collision risk data, the potential cross-operation areas are optimized and classified to form a hierarchical cross-operation area range map.

[0020] Among them, the tower crane operation stability is evaluated based on the tower crane load data and environmental parameter data, and the operation stability evaluation value is obtained, including: calculating the load factor based on the ratio of the load data to the rated lifting capacity; calculating the wind speed influence factor based on the ratio of the wind speed data to the safe wind speed threshold, calculating the visibility influence factor based on the ratio of the visibility data to the standard visibility, analyzing the direction of wind force on the tower crane boom according to the wind direction data, calculating the wind direction influence factor, and obtaining the environmental influence coefficient by weighted summation of the wind speed influence factor, the visibility influence factor and the wind direction influence factor; obtaining the tower crane operation stability evaluation value after weighted summation based on the load factor and the environmental influence factor.

[0021] Among them, dynamic collision risk analysis is performed based on the dynamic distribution map and operation stability assessment value to obtain the dynamic collision risk index, including: calculating the collision time estimate based on the relative movement speed and direction of each tower crane in the dynamic distribution map of the cross-operation area; combining the operation stability assessment value, the collision time estimate and the distribution of obstacles in the cross-area to comprehensively calculate the dynamic collision risk index.

[0022] Among them, the calculation of the adaptive safety distance threshold based on the dynamic collision risk index includes: calculating the minimum safety distance based on the dynamic collision risk index and combining the braking distance characteristics and operating speed of each tower crane; and setting a basic safety distance value according to the operation type and on-site construction requirements, comparing the basic safety distance value with the minimum safety distance, and taking the larger value as the adaptive safety distance threshold.

[0023] Among them, hierarchical warning and intervention control based on adaptive safety distance thresholds include:

[0024] Get the real-time distance between tower cranes; when the real-time distance is greater than A times the adaptive safety distance threshold, it is in a safe state and displays a green signal; when the real-time distance is less than or equal to A times the adaptive safety distance threshold and greater than the adaptive safety distance threshold, a yellow warning signal is issued to alert the operator; when the real-time distance is less than or equal to the adaptive safety distance threshold and greater than B times the adaptive safety distance threshold, a red alarm signal is issued and the maximum operating speed of the relevant tower crane is reduced; when the real-time distance is less than or equal to B times the adaptive safety distance threshold, the emergency braking mechanism is triggered, the relevant tower crane is forced to stop operating, and an emergency notification is sent to the management personnel.

[0025] According to a second aspect of the present invention, a tower crane construction safety assurance system is provided.

[0026] The tower crane construction safety assurance system includes:

[0027] The data acquisition module is used to obtain tower crane parameter data, tower crane load data, tower crane real-time operation status data and tower crane environmental parameter data;

[0028] The area recognition module is used to dynamically identify the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data, and obtain a dynamic distribution map of the cross-operation area;

[0029] A stability assessment module is used to assess the stability of tower crane operations based on tower crane load data and environmental parameter data to obtain an operational stability assessment value;

[0030] The risk analysis module is used to perform dynamic collision risk analysis based on the dynamic distribution map and the operation stability assessment value to obtain a dynamic collision risk index;

[0031] The early warning processing module is used to set an adaptive safety distance threshold based on a dynamic collision risk index; and to perform graded early warning and intervention control based on the adaptive safety distance threshold.

[0032] Optionally, the tower crane parameter data includes: tower crane position spatial coordinate data, boom rotation angle data, boom elevation angle data, boom extension length data, and hook height data.

[0033] Optionally, the tower crane load data includes: hook load weight data.

[0034] Optionally, the real-time operation status data of the tower crane includes: tower crane operation instruction data and current operation status data.

[0035] Optionally, the tower crane environmental parameter data includes: wind speed data, wind direction data, and visibility data of the environment in which the tower crane is located.

[0036] Among them, when the area identification module dynamically identifies the cross-operation area of ​​multiple tower cranes based on the tower crane parameter data and real-time operation status data and obtains the dynamic distribution map of the cross-operation area, it calculates the real-time operation radius and coverage range of each tower crane based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data; based on the real-time operation radius and coverage range of each tower crane, analyzes the overlapping area of ​​the operation space of multiple tower cranes to obtain a potential cross-operation area range map; according to the tower crane operation instruction data and current operation status data, combined with the historical operation mode, the tower crane operation trajectory is predicted and analyzed to obtain the expected movement trajectory of each tower crane in the future time window; based on the expected movement trajectory, the potential cross-operation area range map is updated to obtain a dynamic distribution map of the cross-operation area.

[0037] Among them, when the area recognition module calculates the real-time operating radius and coverage range of each tower crane based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data, it calculates the horizontal projection distance from the end of the boom to the center point of the tower body based on the boom extension length data and the boom elevation data to obtain the current actual operating radius of the tower crane; constructs a three-dimensional operating space model of each tower crane according to the coordinates of the tower center point, the boom rotation angle data, the actual operating radius and the hook height data; and performs operation simulation based on the three-dimensional operating space model to obtain the coverage range of the tower crane's real-time operation.

[0038] Among them, when the area identification module analyzes the overlapping areas of the operating spaces of multiple tower cranes based on the real-time operating radius and coverage range of each tower crane and obtains the range map of the potential cross-operation area, the three-dimensional operating space model of each tower crane is projected into a unified construction site coordinate system to generate a unified spatial representation; a spatial calculation algorithm is used to identify and mark the intersection areas of the operating spaces of different tower cranes, and the spatial volume and boundary coordinates of the intersection areas are calculated; risk weights are assigned to the intersection areas according to the operating frequency and operation type of each tower crane, and a heat map of the potential cross-operation area containing risk level identification is generated; based on historical collision risk data, the potential cross-operation areas are optimized and classified to form a hierarchical cross-operation area range map.

[0039] Among them, when the stability assessment module performs tower crane operation stability assessment based on the tower crane load data and environmental parameter data to obtain the operation stability assessment value, it calculates the load coefficient based on the ratio of the load data to the rated lifting capacity; calculates the wind speed influence factor based on the ratio of the wind speed data to the safe wind speed threshold, calculates the visibility influence factor based on the ratio of the visibility data to the standard visibility, analyzes the direction of wind force on the tower crane boom according to the wind direction data, calculates the wind direction influence factor, and obtains the environmental influence coefficient by weighted summation of the wind speed influence factor, the visibility influence factor and the wind direction influence factor; and obtains the operation stability assessment value of the tower crane after weighted summation based on the load factor and the environmental influence factor.

[0040] Among them, when the risk analysis module performs dynamic collision risk analysis based on the dynamic distribution map and the operation stability assessment value to obtain the dynamic collision risk index, it calculates the collision time estimate based on the relative movement speed and direction of each tower crane in the dynamic distribution map of the cross-operation area; and comprehensively calculates the dynamic collision risk index by combining the operation stability assessment value, the collision time estimate and the distribution of obstacles in the cross-area.

[0041] The warning processing module includes a threshold setting module and a warning intervention module.

[0042] The threshold setting module is used to calculate the adaptive safety distance threshold based on the dynamic collision risk index. When calculating the adaptive safety distance threshold based on the dynamic collision risk index, the threshold setting module calculates the minimum safety distance based on the dynamic collision risk index and combined with the braking distance characteristics and operating speed of each tower crane; and sets a basic safety distance value according to the operation type and on-site construction requirements, compares the basic safety distance value with the minimum safety distance, and uses the larger value as the adaptive safety distance threshold.

[0043] The early warning and intervention module is used to perform graded early warning and intervention control based on the adaptive safety distance threshold, and the early warning and intervention module obtains the real-time distance between tower cranes when performing graded early warning and intervention control based on the adaptive safety distance threshold; when the real-time distance is greater than A times the adaptive safety distance threshold, it is in a safe state and displays a green signal; when the real-time distance is less than or equal to A times the adaptive safety distance threshold and greater than the adaptive safety distance threshold, a yellow early warning signal is issued to remind the operator to pay attention; when the real-time distance is less than or equal to the adaptive safety distance threshold and greater than B times the adaptive safety distance threshold, a red alarm signal is issued and the maximum operating speed of the relevant tower crane is reduced; when the real-time distance is less than or equal to B times the adaptive safety distance threshold, the emergency braking mechanism is triggered, the relevant tower crane is forced to stop operating, and an emergency notification is sent to the management personnel.

[0044] The technical solution provided by the present invention can have the following beneficial effects:

[0045] Through the collection and fusion analysis of multi-dimensional data, the present invention realizes comprehensive perception and dynamic monitoring of the multi-tower crane operating environment, and can integrate the scattered tower crane safety monitoring into a collaborative system, thereby significantly enhancing the safety management level of the construction site.

[0046] By acquiring real-time crane parameter data, crane load data, real-time crane operating status data, and crane environmental parameter data, a complete crane operating status perception network has been established, providing a comprehensive and reliable data foundation for safety risk assessment. The system utilizes dynamic identification technology for cross-operation zones, accurately calculating the real-time operating radius and coverage of each crane. Combined with predictive analysis of operating trajectories, this technology enables the early identification and dynamic updating of potential risk areas. This significantly improves the accuracy and timeliness of risk warnings, avoiding the blind spots and false alarms associated with traditional fixed zone divisions.

[0047] By projecting each crane's three-dimensional operating space onto a unified coordinate system and performing spatial calculations, the system accurately identifies cross-operation risk points in complex environments, significantly reducing the probability of collisions on construction sites. By comprehensively analyzing multi-dimensional environmental factors such as wind speed, direction, and visibility, it accurately assesses the crane's operational stability under different working conditions. This effectively enhances the system's ability to cope with complex weather conditions and provides scientific safety assurance for crane operations in harsh environments.

[0048] Through dynamic collision risk analysis and adaptive safety distance threshold setting, the system automatically adjusts safety distance requirements based on real-time operating conditions, environmental conditions, and risk levels, achieving refined and intelligent safety management. A multi-level warning and intervention control mechanism enables appropriate warning and control measures to be taken at different risk levels, from operator alerts to speed reduction and emergency braking. This creates a complete safety protection closed loop, significantly improving the efficiency and reliability of emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0050] Figure 1 This is a flow chart of a tower crane construction safety assurance method according to an exemplary embodiment;

[0051] Figure 2 is a structural block diagram illustrating a tower crane construction safety assurance system according to an exemplary embodiment;

[0052] Figure 3 The figure is a schematic diagram showing the structure of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0053] As used herein, the terms "comprise," "include," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a structure, device, or apparatus comprising a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such structure, device, or apparatus. Without further limitation, the phrase "comprises a..." does not preclude the presence of additional identical elements in the structure, device, or apparatus comprising the recited elements. The various embodiments are described herein in a progressive manner, with each embodiment focusing on its differences from the other embodiments. References to identical or similar parts between the various embodiments may be made to each other. As used herein, unless otherwise specified, the term "plurality" means two or more. As used herein, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B. As used herein, the term "and / or" describes an associative relationship between objects, indicating that three relationships are possible. For example, A and / or B means: A or B, or: A and B.

[0054] It should be understood that, although the various steps in the flowchart are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps may be performed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily performed at the same time, but may be performed at different times. The execution order of these sub-steps or stages is not necessarily to be performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0055] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software so that the processor can call and execute the operations corresponding to the above modules.

[0056] In the absence of conflict, the embodiments of the present invention and the features thereof may be combined with each other.

[0057] Figure 1 An embodiment of a tower crane construction safety assurance method of the present invention is shown.

[0058] In this optional embodiment, the tower crane construction safety assurance method includes:

[0059] Step S101, acquiring tower crane parameter data, tower crane load data, tower crane real-time operation status data, and tower crane environmental parameter data;

[0060] Step S102: Dynamically identify the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data to obtain a dynamic distribution map of the cross-operation area;

[0061] Step S103: performing a tower crane operation stability assessment based on the tower crane load data and the environmental parameter data to obtain an operation stability assessment value;

[0062] Step S104: performing a dynamic collision risk analysis based on the dynamic distribution map and the operation stability assessment value to obtain a dynamic collision risk index;

[0063] Step S105: setting an adaptive safety distance threshold based on the dynamic collision risk index; and performing graded warning and intervention control based on the adaptive safety distance threshold.

[0064] Figure 2 An embodiment of a tower crane construction safety assurance system of the present invention is shown.

[0065] In this optional embodiment, the tower crane construction safety assurance system includes:

[0066] The data acquisition module 201 is used to acquire tower crane parameter data, tower crane load data, tower crane real-time operation status data and tower crane environmental parameter data;

[0067] The area identification module 202 is used to dynamically identify the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data, and obtain a dynamic distribution map of the cross-operation area;

[0068] The stability evaluation module 203 is used to evaluate the stability of the tower crane operation based on the tower crane load data and the environmental parameter data to obtain an operation stability evaluation value;

[0069] The risk analysis module 204 is configured to perform a dynamic collision risk analysis based on the dynamic distribution map and the operation stability assessment value to obtain a dynamic collision risk index;

[0070] The warning processing module 205 is used to set an adaptive safety distance threshold based on the dynamic collision risk index; and perform graded warning and intervention control based on the adaptive safety distance threshold.

[0071] In the above optional embodiment, the tower crane parameter data is the position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data and hook height data of the tower crane obtained through the GPS positioning module, angle sensor, distance sensor and height sensor installed on the tower crane; wherein, the GPS positioning module adopts a GPS positioning module with differential positioning technology, and the positioning accuracy reaches the centimeter level; the angle sensor adopts a high-precision encoder with an accuracy of not less than 0.1 degrees; the distance sensor adopts laser ranging technology, and the measurement accuracy is within the range of ±5mm; the height sensor adopts ultrasonic or laser ranging technology, and the measurement range covers the maximum working height of the tower crane.

[0072] In addition, the tower crane load data is the load weight data obtained by the weighing sensor installed on the hook, where the weighing sensor's accuracy is not less than ±0.5% of the rated load. The tower crane's real-time operating status data is the tower crane's operating instruction data and current operating status data obtained through the tower crane control system interface, including start and stop status, operating speed, acceleration, and braking status data. The tower crane's environmental parameter data is the wind speed, wind direction, and visibility data of the tower crane's environment obtained by the on-site weather station. The weather station collects data at a frequency of no less than 10 seconds per time to ensure the real-time nature of the environmental data.

[0073] In the above optional embodiment, when dynamically identifying the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data to obtain a dynamic distribution map of the cross-operation area, the real-time operation radius and coverage range of each tower crane are calculated based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data; based on the real-time operation radius and coverage range of each tower crane, the overlapping area of ​​the operation space of multiple tower cranes is analyzed to obtain a potential cross-operation area range map; based on the tower crane operation instruction data and current operation status data, combined with historical operation modes, the tower crane operation trajectory is predicted and analyzed to obtain the expected motion trajectory of each tower crane in the future time window; based on the expected motion trajectory, the potential cross-operation area range map is updated to obtain a dynamic distribution map of the cross-operation area.

[0074] Specifically, based on the boom extension length and boom elevation angle, the horizontal projection distance from the boom end to the center point of the tower body is calculated to obtain the current actual operating radius of the tower crane. The calculation formula is: , where is the actual operating radius, is the arm extension length, is the boom elevation angle;

[0075] Then, according to the coordinates of the center point of the tower , arm rotation angle , actual operating radius And hook height data , construct the three-dimensional operation space model of each tower crane, and the three-dimensional operation space model is expressed as: , , ,Based on this three-dimensional operation space model, operation simulation is carried out to obtain the,real-time operation coverage of the tower crane.

[0076] In addition, the 3D operating space model of each crane is projected into a unified construction site coordinate system to generate a unified spatial representation. The construction site coordinate system is a 3D coordinate system based on the crane operation area. Any point in the crane operation area can be used as the origin of the 3D coordinate system, and the unit length is 1 meter as the scale of the 3D coordinate system.

[0077] A spatial calculation algorithm is used to identify and mark the intersection of the working spaces of different tower cranes, and the spatial volume and boundary coordinates of the intersection area are calculated. Each tower crane is serially numbered. Each tower crane has a unique serial number, and the points are marked in the construction site coordinate system based on the tower crane coverage data: ,in, Representative The serial number of the tower crane, Indicates that the coordinates in the construction site coordinate system are Mark the places. There can be multiple different point marks at the same coordinate position in the construction site coordinate system. When the number of point marks at a coordinate position in the construction site coordinate system is greater than or equal to , then the coordinate position is the intersection area; perform integral calculation based on the coordinates of each point in the intersection area to obtain the spatial volume of the intersection area; perform neighbor point identification on each point in the intersection area. If there is a coordinate that does not contain a point mark among the neighbor points of the point, then the point is a boundary point, and the coordinates of the boundary point are the boundary coordinates. 26 neighbor points are used for neighbor point identification.

[0078] Based on the operating frequency and operation type of each tower crane, risk weights are assigned to the intersection area, generating a heat map of potential cross-operation areas with risk level identification. The risk weight is calculated based on the product of the square of the operation frequency, the operation load weight, and the coefficient of the operation type. The coefficient of the operation type is set according to different operation types: heavy component precision lifting: 1.8; standard component lifting: 1.5; conventional material transportation: 1.0; light equipment movement: 0.7. The calculated risk weights are normalized to obtain normalized weights. A risk level classification table is established: (0.0, 0.3]: low risk, green; (0.3, 0.6]: medium risk, yellow; (0.6, 0.8]: high risk, orange; (0.8, 1.0]: extremely high risk, red. Based on the risk level classification, the normalized weights are divided into different risk levels.

[0079] Based on historical collision risk data, potential cross-operation areas are optimized and classified to form a hierarchical cross-operation area range map; the optimized classification uses machine learning methods to construct feature vectors based on historical collision risk data, and the feature vectors include: spatial features: intersection volume; temporal features: operation duration, overlapping period; tower crane features: type, load capacity, movement speed; environmental features: weather conditions, visibility, wind speed; a random forest classifier is used to train the risk level prediction model, and a 5-fold cross-validation is used to evaluate the model performance. The model parameters are adjusted according to the confusion matrix to optimize the accuracy and recall rate; according to the optimized risk level prediction model, the model is classified into the following categories: Classification: Cross-operation areas are divided into four risk levels: Level 1 (low risk): Operator attention is required; Level 2 (medium risk): Slowdown is required, and the maximum speed is limited to 75% of the normal speed; Level 3 (high risk): Special supervision is required, and the speed is limited to 50% of the normal speed; Level 4 (extremely high risk): Simultaneous operations are prohibited in principle, and special circumstances require approval from the safety supervisor; Real-time updates automatically trigger area recalculation based on changes in the tower crane position, and only the changed areas are recalculated. The update frequency is dynamically matched with the tower crane's movement speed, with an update every 15 seconds when stationary and increased to once every 3 seconds when moving at high speed;

[0080] By predicting and analyzing crane operation trajectories, combined with current operation instructions and historical operation patterns, the system analyzes the projected movement trajectory of each crane within a future time window. Based on this predicted trajectory, the cross-operation area is updated to generate a dynamic distribution map of the cross-operation area. The prediction uses a Kalman filter algorithm to predict the movement trajectory within the next 10 to 30 seconds based on the crane's current position, speed, and acceleration.

[0081] In the above optional embodiment, when the tower crane operation stability is evaluated based on the tower crane load data and environmental parameter data to obtain the operation stability evaluation value, the load coefficient is calculated based on the ratio of the load data to the rated lifting capacity; the wind speed influence factor is calculated based on the ratio of the wind speed data to the safe wind speed threshold, and the visibility influence factor is calculated based on the ratio of the visibility data to the standard visibility. The direction of wind force on the tower crane boom is analyzed according to the wind direction data, and the wind direction influence factor is calculated. The wind speed influence factor, visibility influence factor and wind direction influence factor are weighted and summed to obtain the environmental influence coefficient; the operation stability evaluation value of the tower crane is obtained after weighted summation based on the load factor and the environmental influence coefficient.

[0082] Specifically, the load factor is calculated based on the ratio of the load data to the rated lifting capacity, and the environmental impact factor is calculated based on the environmental parameter data; the load factor The calculation formula is: ,in, is the current load weight, The rated lifting capacity under the current working radius; the wind speed impact factor is calculated based on the ratio of wind speed data to the safe wind speed threshold. : ,in, is the current wind speed, is the safety wind speed threshold, usually 20m / s; the visibility impact factor is calculated based on the ratio of visibility data to standard visibility : ,in, The minimum safety visibility standard is is the current visibility; analyze the direction of wind force on the tower crane boom based on wind direction data and calculate the wind direction influencing factor: ,in, is the current wind speed, It is the angle between wind direction and boom direction.

[0083] The environmental impact coefficient is obtained by weighting the wind speed impact factor, visibility impact factor and wind direction impact factor : ,in, 、 、 is the factor weight coefficient, and ;

[0084] The operational stability evaluation value of the tower crane is obtained by weighted summation of the load factor and the environmental impact factor. , the calculation formula is: ,in, 、 is the weight coefficient and satisfies the conditions: , A larger value indicates higher job stability.

[0085] In the above optional embodiment, when performing a dynamic collision risk analysis based on the dynamic distribution map and the operation stability assessment value to obtain a dynamic collision risk index, a collision time estimate is calculated based on the relative movement speed and direction of each tower crane in the dynamic distribution map of the cross-operation area; the calculation formula is: ,in, is the estimated collision time, is the distance between the two tower crane jibs or hooks, and are the velocity components of the two tower cranes in the direction of relative approach.

[0086] The dynamic collision risk index is calculated by combining the operation stability assessment value, collision time estimation value and the distribution of obstacles in the intersection area. , the calculation formula is: ,in, For the cross-operation area The operational stability assessment value of a tower crane, is the obstacle factor, The estimated collision time is calculated based on the number and distribution of obstacles in the cross-operation area, which is the number of obstacles in the cross-operation area divided by the mapped area of ​​the cross-operation area on the horizontal plane.

[0087] When calculating the adaptive safety distance threshold based on the dynamic collision risk index, the minimum safety distance is first calculated based on the dynamic collision risk index, combined with the braking distance characteristics and operating speed of each tower crane. The calculation formula is: ,in, For the The linear speed of the tower crane boom, For the Braking reaction time of a tower crane, is a safety margin function based on the dynamic collision risk index; then, a basic safety distance value is set according to the operation type and on-site construction requirements. The basic safety distance value is compared with the minimum safety distance, and the larger value is used as the adaptive safety distance threshold.

[0088] After setting the adaptive safety distance threshold, the real-time distance between the tower cranes can be obtained, and the adaptive safety distance threshold and the real-time distance between the tower cranes can be compared to perform early warning and intervention, specifically: when the real-time distance is greater than A times the adaptive safety distance threshold (in this embodiment, the preferred value of A is 1.5), it is determined to be in a safe state, and a green signal is displayed on the monitoring interface; when the real-time distance is less than or equal to A times the adaptive safety distance threshold and greater than the adaptive safety distance threshold, a yellow warning signal is issued, and the operator is reminded to pay attention through the sound and light alarm device; when the real-time distance D is less than or equal to the adaptive safety distance threshold and greater than B times the adaptive safety distance threshold (in this embodiment, the preferred value of B is 0.6), a red alarm signal is issued, and the maximum operating speed of the relevant tower crane is reduced to 50% of the normal speed through the control system interface, and an alarm message is sent to the operation management personnel at the same time; when the real-time distance D is less than or equal to B times the adaptive safety distance threshold, the system triggers the emergency braking mechanism, forcibly stops the operation of the relevant tower crane, locks the control system, and sends an emergency notice to the management personnel and safety supervision personnel, requiring manual confirmation of safety before resuming operation.

[0089] It should be noted that the parameters (e.g., weight coefficients and thresholds) used in this embodiment were obtained through experimentation by those skilled in the art. Specifically, the experimental method involved collecting a large amount of historical tower crane operation data, including crane parameter data, load data, environmental parameter data under different operating conditions, and corresponding safety incident and hazard records. Machine learning algorithms were then used to perform data analysis and model training to determine optimal weight coefficient and threshold settings. The system also possesses self-learning and optimization capabilities, continuously adjusting parameter settings based on feedback data during actual use, thereby improving the accuracy and timeliness of safety warnings.

[0090] Figure 3 An embodiment of a computer device of the present invention is shown. The computer device may be a server, comprising a processor, a memory, and a network interface connected via a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is configured to store static and dynamic information data. The network interface of the computer device is configured to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the steps of the above-described method embodiment are implemented.

[0091] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0092] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0093] In addition, the present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0094] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware using a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes in the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0095] It should be understood that the above general description and the detailed description that follows are merely exemplary and explanatory and do not limit the present invention. The present invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof.

Claims

1. A tower crane construction safety assurance method, characterized in that: include: Obtain tower crane parameter data, tower crane load data, tower crane real-time operation status data and tower crane environmental parameter data; Dynamically identify the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data, and obtain a dynamic distribution map of the cross-operation area; Evaluate the tower crane operation stability based on the tower crane load data and environmental parameter data to obtain an operation stability evaluation value; Perform dynamic collision risk analysis based on the dynamic distribution map and operation stability assessment value to obtain a dynamic collision risk index; Setting adaptive safety distance threshold based on dynamic collision risk index; And perform graded warning and intervention control based on adaptive safety distance thresholds.

2. The tower crane construction safety guarantee method according to claim 1, characterized in that: The tower crane parameter data includes: tower crane position spatial coordinate data, boom rotation angle data, boom elevation angle data, boom extension length data, and hook height data; The tower crane load data includes: hook load weight data; The tower crane real-time operation status data includes: tower crane operation instruction data and current operation status data; The tower crane environmental parameter data includes: wind speed data, wind direction data, and visibility data of the environment in which the tower crane is located.

3. The tower crane construction safety guarantee method according to claim 2, characterized in that: Based on tower crane parameter data and real-time operation status data, the cross-operation area of ​​multiple tower cranes is dynamically identified, and the dynamic distribution map of the cross-operation area is obtained, including: Calculate the real-time operating radius and coverage of each tower crane based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data; Based on the real-time operating radius and coverage of each tower crane, the overlapping areas of the operating spaces of multiple tower cranes are analyzed to obtain a map of potential cross-operation areas. Based on the tower crane operation instruction data and current operation status data, combined with historical operation patterns, the tower crane operation trajectory is predicted and analyzed to obtain the expected movement trajectory of each tower crane in the future time window; The potential cross-operation area range map is updated based on the expected motion trajectory to obtain a dynamic distribution map of the cross-operation area.

4. The tower crane construction safety assurance method according to claim 3, characterized in that: Based on the tower crane position spatial coordinate data, boom rotation angle data, boom elevation data, boom extension length data, and hook height data, the real-time operating radius and coverage range of each tower crane are calculated, including: Based on the boom extension length data and boom elevation angle data, the horizontal projection distance from the boom end to the center point of the tower body is calculated to obtain the current actual operating radius of the tower crane; Construct a three-dimensional operating space model of each tower crane based on the tower center point coordinates, boom rotation angle data, actual operating radius, and hook height data; Operation simulation is performed based on the three-dimensional operation space model to obtain the real-time operation coverage of the tower crane.

5. The tower crane construction safety assurance method according to claim 4, characterized in that: Based on the real-time operating radius and coverage of each crane, the overlapping areas of the operating spaces of multiple cranes are analyzed to obtain a map of potential cross-operation areas, including: Project the 3D working space model of each tower crane into a unified construction site coordinate system to generate a unified spatial representation; Using spatial calculation algorithms, identify and mark the intersection areas of different tower crane operating spaces, and calculate the spatial volume and boundary coordinates of the intersection areas; Based on the operating frequency and operation type of each tower crane, risk weights are assigned to the intersection areas, generating a heat map of potential intersection operation areas with risk level identification. Based on historical collision risk data, potential cross-operation areas are optimized and classified to form a hierarchical cross-operation area range map.

6. The tower crane construction safety guarantee method according to claim 2, characterized in that: The tower crane operation stability assessment is performed based on the tower crane load data and environmental parameter data. The obtained operation stability assessment values ​​include: Calculate the load factor based on the ratio of load data to rated lifting capacity; The wind speed impact factor is calculated based on the ratio of the wind speed data to the safe wind speed threshold. The visibility impact factor is calculated based on the ratio of the visibility data to the standard visibility. The direction of wind force acting on the tower crane boom is analyzed based on the wind direction data, and the wind direction impact factor is calculated. The wind speed impact factor, visibility impact factor, and wind direction impact factor are weighted and summed to obtain the environmental impact coefficient. The operational stability evaluation value of the tower crane is obtained by weighted summation of the load factor and the environmental impact coefficient.

7. The tower crane construction safety assurance method according to claim 1, characterized in that: Based on the dynamic distribution map and the operation stability assessment value, dynamic collision risk analysis is performed to obtain the dynamic collision risk index including: Calculate the estimated collision time based on the relative movement speed and direction of each crane in the dynamic distribution diagram of the cross-operation area; The dynamic collision risk index is calculated comprehensively by combining the operation stability assessment value, collision time estimate and the distribution of obstacles in the intersection area.

8. The tower crane construction safety assurance method according to claim 1, characterized in that: Calculating the adaptive safety distance threshold based on the dynamic collision risk index includes: Based on the dynamic collision risk index, combined with the braking distance characteristics and operating speed of each tower crane, the minimum safety distance is calculated; and according to the operation type and on-site construction requirements, a basic safety distance value is set. The basic safety distance value is compared with the minimum safety distance, and the larger value is used as the adaptive safety distance threshold.

9. The tower crane construction safety guarantee method according to claim 1, characterized in that: Gradual warning and intervention control based on adaptive safety distance thresholds include: Get the real-time distance between tower cranes; When the real-time distance is greater than A times the adaptive safety distance threshold, it is in a safe state and displays a green signal; When the real-time distance is less than or equal to A times the adaptive safety distance threshold and greater than the adaptive safety distance threshold, a yellow warning signal is issued to alert the operator; When the real-time distance is less than or equal to the adaptive safety distance threshold and greater than B times the adaptive safety distance threshold, a red alarm signal is issued and the maximum operating speed of the relevant tower crane is reduced; When the real-time distance is less than or equal to B times the adaptive safety distance threshold, the emergency braking mechanism is triggered, the relevant tower crane is forced to stop operating, and an emergency notification is sent to the management personnel.

10. A tower crane construction safety assurance system, characterized in that: include: The data acquisition module is used to obtain tower crane parameter data, tower crane load data, tower crane real-time operation status data and tower crane environmental parameter data; The area recognition module is used to dynamically identify the cross-operation area of ​​multiple tower cranes based on tower crane parameter data and real-time operation status data, and obtain a dynamic distribution map of the cross-operation area; A stability assessment module is used to assess the stability of tower crane operations based on tower crane load data and environmental parameter data to obtain an operational stability assessment value; The risk analysis module is used to perform dynamic collision risk analysis based on the dynamic distribution map and the operation stability assessment value to obtain a dynamic collision risk index; A warning processing module is used to set an adaptive safety distance threshold based on a dynamic collision risk index; And perform graded warning and intervention control based on adaptive safety distance thresholds.

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