An intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence
Through the intelligent tower crane crane operation safety monitoring system, multi-dimensional safety monitoring is used to use drones and multiple sensors to perform multi-dimensional safety monitoring, which solves the problems of high-altitude risks, low efficiency and insufficient environmental monitoring of tower crane crane safety monitoring, and achieves the safety accident rate Reduce and improve operation stability.
Patent Information
- Application Number
- CN202210827236.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-07-13
- Publication Date
- 2024-12-31
- Estimated Expiration
- 2042-07-13
AI Technical Summary
The safety monitoring of tower cranes in the prior art has problems such as manual aerial operation risks, low monitoring efficiency, incomplete dimensions and insufficient external environmental monitoring, resulting in high safety accident rates and unstable operation.
Design an intelligent crane operation safety intelligent monitoring, analysis and early warning system, including a data cloud platform, tower crane crane itself safety monitoring module, tower crane crane external environment safety monitoring module, comprehensive analysis platform and operation safety warning terminal, no one has passed the inspection The machine, high-definition camera, tension sensor, anemometer and rain gauge perform multi-dimensional safety monitoring and environmental monitoring, calculate safety factors and provide early warning.
It effectively reduces the risk of manual monitoring, improves monitoring efficiency and real-time performance, provides a comprehensive assessment of the operation safety of tower crane cranes, reduces safety accidents, and ensures the operation stability of tower crane cranes.
Smart Images

Figure CN115196526B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of crane operation safety monitoring, and in particular, relates to an intelligent crane operation safety intelligent monitoring, analysis and early warning system based on intelligence. Background Art
[0002] In recent years, with the rapid development of the real estate industry, tower cranes, as the main body of construction machinery in construction projects, have been widely used because of their advantages such as sufficient lifting height, large working space and high work efficiency. At the same time, the safety issues of tower cranes have also received widespread attention. Since the height of tower cranes is constantly adjusted and increased with the construction height of houses, the difficulty of monitoring the operation safety of tower cranes is also increasing. Failure to monitor any safety issues will increase the incidence of safety accidents, thereby affecting the development of the entire construction project.
[0003] The existing technology for safety monitoring of tower cranes has the following disadvantages:
[0004] (1) In the prior art, the safety monitoring of tower cranes is mostly done manually. Due to the high height of tower cranes, manual monitoring inevitably involves the risk of working at high altitudes, which in turn increases the incidence of safety accidents. For monitoring personnel, not only are they faced with extremely high work difficulty, but they also place a great workload on their bodies. At the same time, due to blind spots in their line of sight, it is difficult for monitoring personnel to detect subtle safety issues of tower cranes, resulting in low monitoring efficiency and poor real-time performance.
[0005] (2) Most existing technologies only focus on safety monitoring of the load-bearing capacity of tower cranes, but lack safety monitoring of the base appearance, tower frame and boom of tower cranes, resulting in a one-sided monitoring dimension and an inability to provide a reliable basis for the safety assessment of tower crane operations. At the same time, existing technologies focus on safety monitoring of the external environment in the area where the tower cranes are located, mainly on wind speed, but lack safety monitoring of precipitation, and are therefore unable to effectively ensure the safety of tower crane operations. Summary of the invention
[0006] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence, which can effectively solve the problems involved in the above-mentioned background technology.
[0007] The purpose of the present invention can be achieved by the following technical solutions:
[0008] An intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence, including: a data cloud platform, a tower crane self-safety monitoring module, a tower crane external environment safety monitoring module, a comprehensive analysis platform and an operation safety early warning terminal;
[0009] The data cloud platform is used to store the three-dimensional appearance image of the standard base of the tower crane, store the initial three-dimensional coordinates corresponding to the position of each tower node, store the standard tower placement angle of the tower crane, the maximum allowable operating angle of the boom and the maximum tension that the pull rod can withstand, and store the safe precipitation and the maximum wind speed that the tower crane can withstand;
[0010] The tower crane self-safety monitoring module is used to perform self-safety monitoring on the tower crane and evaluate the self-safety factor of the tower crane, wherein the tower crane self-safety monitoring module includes a base safety monitoring unit, a tower safety monitoring unit, a boom safety monitoring unit and a pull rod safety monitoring unit;
[0011] The tower crane external environment safety monitoring module is used to perform safety monitoring on the external environment of the tower crane and evaluate the external environment safety factor of the tower crane, wherein the tower crane external environment safety monitoring module includes a precipitation safety monitoring unit and a wind speed safety monitoring unit;
[0012] The comprehensive analysis platform is used to comprehensively analyze the operation safety factor of the tower crane based on the monitoring results of the tower crane's own safety monitoring module and the tower crane's external environment safety monitoring module;
[0013] The operation safety warning terminal is used to compare the operation safety factor of the tower crane with a preset standard operation safety factor. If the operation safety factor of the tower crane is lower than the standard operation safety factor, an operation safety warning is issued.
[0014] In a possible implementation, the base safety monitoring unit is used to perform safety monitoring on the base of a tower crane, and the specific process is as follows:
[0015] A1: The high-definition camera installed in the inspection drone is used to collect the three-dimensional appearance image of the tower crane, thereby obtaining the three-dimensional appearance image of the tower crane, and extracting the three-dimensional appearance image corresponding to the base of the tower crane from it;
[0016] A2: Compare the three-dimensional appearance image corresponding to the tower crane base with the three-dimensional appearance image of the standard base of the tower crane stored in the data cloud platform, and then extract the appearance defect areas corresponding to the tower crane base, and number them as 1, 2, ..., i, ..., k, and then extract the appearance defect type and appearance defect area of each appearance defect area;
[0017] A3: Match the appearance defect type of each appearance defect area of the tower crane base with the preset risk impact factor per unit area of each appearance defect type, and obtain the risk impact factor per unit area of the appearance defect type of each appearance defect area of the tower crane base, and then calculate the appearance safety factor of the tower crane base based on it. The calculation formula is: δ represents the appearance safety factor of the tower crane base, D i and χ i ″ respectively represent the appearance defect area of the tower crane base corresponding to the i-th appearance defect area and the risk impact factor per unit area of the appearance defect type.
[0018] In a possible implementation, the tower safety monitoring unit is used to perform safety monitoring on the tower of a tower crane, and the specific process is as follows:
[0019] B1: Identify the location of each tower node from the three-dimensional appearance image of the tower crane, and number the identified tower nodes as 1, 2, ..., m, ..., v respectively;
[0020] B2: constructing a three-dimensional rectangular coordinate system for the tower according to a preset three-dimensional rectangular coordinate system construction method, and then obtaining the three-dimensional coordinates corresponding to the position of each tower node based on the constructed three-dimensional rectangular coordinate system;
[0021] B3: Compare the three-dimensional coordinates corresponding to the positions of each tower node with the initial three-dimensional coordinates corresponding to the positions of each tower node stored in the data cloud platform, and calculate the tower node safety factor of the tower crane. The calculation formula is: Where α is the tower node safety factor of the tower crane, x m0 ,y m0 and z m0 They are respectively represented as the initial three-dimensional coordinate values of the mth tower node position of the tower crane on the x-axis, y-axis and z-axis, m ,y m and z m They are respectively represented as the three-dimensional coordinate values on the x-axis, y-axis and z-axis corresponding to the position of the m-th tower node of the tower crane;
[0022] B4: extracting the angle between the tower and the base of the tower crane from the three-dimensional appearance image of the tower crane, and recording it as the tower placement angle of the tower crane;
[0023] B5: Compare the tower crane's tower placement angle with the tower crane's tower standard placement angle in the data cloud platform to calculate the tower crane's tower placement safety factor. The calculation formula is: Where β is the safety factor of the tower crane, θ″ is the angle of the tower crane, and θ 0 It is expressed as the standard placement angle of the tower of a tower crane;
[0024] B6: The tower safety factor of the tower crane is calculated based on the tower node safety factor of the tower crane and the tower placement safety factor of the tower crane. The calculation formula is: Where θ is the tower safety factor of the tower crane, e is the natural constant, γ 1 and γ 2 They respectively represent the safety correction factors corresponding to the tower nodes and tower placement of the preset tower crane.
[0025] In a possible implementation, the boom safety monitoring unit is used to perform safety monitoring on the boom of a tower crane, and the specific process is as follows:
[0026] C1: Take the ground where the tower crane is located as the reference horizontal plane, and then obtain the angle formed between the boom of the tower crane and the reference horizontal plane, and record it as the boom operating angle of the tower crane;
[0027] C2: Compare the boom operating angle of the tower crane with the maximum allowable operating angle of the tower crane boom in the data cloud platform to calculate the boom operating safety factor of the tower crane. The calculation formula is: Where λ is the safety factor of the tower crane’s boom operation, j 0 It represents the maximum allowable operating angle of the tower crane's boom, and j represents the operating angle of the tower crane's boom.
[0028] In a possible implementation, the tie rod safety monitoring unit is used to perform safety monitoring on the tie rod of a tower crane, and the specific process is as follows:
[0029] D1: Identify the position of each tie rod from the three-dimensional appearance image of the tower crane, and then number each tie rod of the tower crane as 1, ..., p, ..., u;
[0030] D2: Using a tension sensor to detect the tension borne by each tie rod of the tower crane, and then obtaining the tension borne by each tie rod of the tower crane;
[0031] D3: Compare the tension borne by each tie rod of the tower crane with the maximum tension that the tie rod of the tower crane can withstand stored in the data cloud platform, and calculate the load-bearing safety factor of the tie rod of the tower crane. The calculation formula is: in It is expressed as the safety factor of the tower crane’s tie rod load, F″ is expressed as the maximum tension that the tower crane’s tie rod can withstand, f p It is expressed as the tension borne by the pth tie rod of the tower crane;
[0032] D4: Based on the obtained tension on each tie rod of the tower crane, the maximum tension and minimum tension on the tie rod are extracted, and then the safety factor of the force distribution of the tie rod of the tower crane is calculated. The calculation formula is: Where η is the safety factor of the tower crane's tie rod force distribution, f max and f min They represent the maximum and minimum tensions that the rod can bear, respectively. 0 ' represents the maximum tension difference that the pull rod of the preset tower crane can withstand;
[0033] D5: Based on the safety factor of the tower crane's tie rod load and the safety factor of the tower crane's tie rod force distribution, the safety factor of the tower crane's tie rod is calculated using the following formula: in Expressed as the safety factor of the tower crane tie rod, a 1 and a 2 They respectively represent the safety weight factors corresponding to the preset tower crane's tie rod load-bearing and force distribution.
[0034] In a possible implementation, the calculation formula of the tower crane's own safety factor is: Where ξ is the inherent safety factor of the tower crane, b 1 、b 2 、b 3 and b 4 They are the safety weight coefficients corresponding to the base, tower, boom and tie rod of the tower crane.
[0035] In a possible implementation, the precipitation safety monitoring unit is used to monitor the precipitation of the external environment in the area where the tower crane is located, and the specific process is as follows:
[0036] E1: Monitor the precipitation of the external environment in the area where the tower crane is located by using a rain gauge, and then obtain the precipitation corresponding to the external environment in the area where the tower crane is located;
[0037] E2: Compare the precipitation corresponding to the external environment in the area where the tower crane is located with the safe precipitation stored in the data cloud platform, and calculate the precipitation safety factor in the area where the tower crane is located. The calculation formula is: Where μ represents the safety factor of precipitation in the area where the tower crane is located, SL″ represents the safe precipitation, and sl′ represents the precipitation corresponding to the external environment in the area where the tower crane is located.
[0038] In a possible implementation, the wind speed safety monitoring unit is used to monitor the wind speed of the external environment in the area where the tower crane is located, and the specific process is as follows:
[0039] F1: Monitor the wind speed of the external environment in the area where the tower crane is located by using an anemometer, and then obtain the wind speed corresponding to the external environment in the area where the tower crane is located;
[0040] F2: Compare the wind speed corresponding to the external environment in the area where the tower crane is located with the maximum wind speed that the tower crane can withstand stored in the data cloud platform, and calculate the wind speed safety factor in the area where the tower crane is located. The calculation formula is: in Expressed as the wind speed safety factor in the area where the tower crane is located, FS max It represents the maximum wind speed that the tower crane can withstand, and fs″ represents the wind speed corresponding to the external environment in the area where the tower crane is located.
[0041] In a possible implementation, the calculation formula of the external environment safety factor of the tower crane is: Where σ represents the external environmental safety factor of the tower crane, c 1 and c 2 They are the safety weight values corresponding to the precipitation and wind speed in the area where the tower crane is located.
[0042] In a possible implementation, the calculation formula for the operation safety factor of the tower crane is: Where τ represents the operating safety factor of the tower crane, κ 1 and κ 2 They respectively represent the safety correction factors corresponding to the preset tower crane itself and the external environment.
[0043] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:
[0044] (1) The present invention provides an intelligent crane operation safety intelligent monitoring, analysis and early warning system, which can perform intelligent operation safety monitoring on tower cranes. Compared with traditional manual monitoring methods, the present invention takes into account the high height of tower cranes, thereby avoiding the risk of manual high-altitude operations and greatly reducing the incidence of safety accidents. For monitoring personnel, it not only reduces the difficulty of work, but also greatly alleviates the workload. At the same time, it avoids the influence of blind spots in the line of sight, can discover subtle safety problems of tower cranes, thereby improving monitoring efficiency and having good real-time performance.
[0045] (2) The present invention realizes the safety monitoring of the base appearance, tower frame, boom operation and tie rod bearing of the tower crane by using multiple monitoring devices such as inspection drones, high-definition cameras and tension sensors, thereby realizing multi-dimensional safety monitoring of the tower crane, improving the comprehensiveness of the safety monitoring of the tower crane, and providing a reliable basis for the safety assessment of the tower crane operation. At the same time, the present invention realizes the safety monitoring of wind speed and precipitation in the external environment of the tower crane area by using anemometers and rain gauges, thereby effectively ensuring the operation safety of the tower crane and improving the operation stability of the tower crane. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.
[0047] Figure 1 It is a schematic diagram of a tower crane involved in the present invention.
[0048] Figure 2 It is a schematic diagram of the system structure of the present invention.
[0049] Figure 3 It is a schematic structural diagram of the tower crane self-safety monitoring module of the present invention.
[0050] Figure 4 It is a schematic diagram of the structure of the external environment safety monitoring module of the tower crane of the present invention. DETAILED DESCRIPTION
[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0052] Reference Figure 2 As shown, the present invention provides an intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence, including: a data cloud platform, a tower crane self-safety monitoring module, a tower crane external environment safety monitoring module, a comprehensive analysis platform and an operation safety early warning terminal;
[0053] The tower crane's own safety monitoring module and the tower crane's external environment safety monitoring module are both connected to the data cloud platform and the comprehensive analysis platform, and the operation safety early warning terminal is connected to the comprehensive analysis platform.
[0054] It should be noted that the schematic diagram of the tower crane structure of the present invention can be referred to Figure 1 shown.
[0055] The data cloud platform is used to store the three-dimensional appearance image of the standard base of the tower crane, store the initial three-dimensional coordinates corresponding to the position of each tower node, store the standard placement angle of the tower crane, the maximum allowable operating angle of the crane arm and the maximum tension that the pull rod can withstand, and store the safe precipitation and the maximum wind speed that the tower crane can withstand.
[0056] The tower crane self-safety monitoring module is used to perform self-safety monitoring on the tower crane and evaluate the self-safety factor of the tower crane.
[0057] Reference Figure 3 As shown, the tower crane's own safety monitoring module includes a base safety monitoring unit, a tower safety monitoring unit, a boom safety monitoring unit and a tie rod safety monitoring unit;
[0058] Specifically, the base safety monitoring unit is used to perform safety monitoring on the base of the tower crane, and the specific process is as follows:
[0059] A1: The high-definition camera installed in the inspection drone is used to collect the three-dimensional appearance image of the tower crane, thereby obtaining the three-dimensional appearance image of the tower crane, and extracting the three-dimensional appearance image corresponding to the base of the tower crane from it;
[0060] A2: Compare the three-dimensional appearance image corresponding to the tower crane base with the three-dimensional appearance image of the standard base of the tower crane stored in the data cloud platform, and then extract the appearance defect areas corresponding to the tower crane base, and number them as 1, 2, ..., i, ..., k, and then extract the appearance defect type and appearance defect area of each appearance defect area;
[0061] A3: Match the appearance defect type of each appearance defect area of the tower crane base with the preset risk impact factor per unit area of each appearance defect type, and obtain the risk impact factor per unit area of the appearance defect type of each appearance defect area of the tower crane base, and then calculate the appearance safety factor of the tower crane base based on it. The calculation formula is: δ represents the appearance safety factor of the tower crane base, D i and χ i ″ respectively represent the appearance defect area of the tower crane base corresponding to the i-th appearance defect area and the risk impact factor per unit area of the appearance defect type.
[0062] In a specific embodiment of the present invention, the above-mentioned types of appearance defects include peeling and cracks, etc. The purpose of conducting safety monitoring on the appearance of the base of the tower crane is to consider that the base is the load-bearing foundation of the tower crane, and the safety condition of the base will affect the overall operating stability of the tower crane.
[0063] Specifically, the tower safety monitoring unit is used to perform safety monitoring on the tower of the tower crane, and the specific process is as follows:
[0064] B1: Identify the location of each tower node from the three-dimensional appearance image of the tower crane, and number the identified tower nodes as 1, 2, ..., m, ..., v respectively;
[0065] B2: constructing a three-dimensional rectangular coordinate system for the tower according to a preset three-dimensional rectangular coordinate system construction method, and then obtaining the three-dimensional coordinates corresponding to the position of each tower node based on the constructed three-dimensional rectangular coordinate system;
[0066] B3: Compare the three-dimensional coordinates corresponding to the positions of each tower node with the initial three-dimensional coordinates corresponding to the positions of each tower node stored in the data cloud platform, and calculate the tower node safety factor of the tower crane. The calculation formula is: Where α is the tower node safety factor of the tower crane, x m0 ,y m0 and z m0 They are respectively represented as the initial three-dimensional coordinate values of the mth tower node position of the tower crane on the x-axis, y-axis and z-axis, m ,y m and z m They are respectively represented as the three-dimensional coordinate values on the x-axis, y-axis and z-axis corresponding to the position of the m-th tower node of the tower crane;
[0067] It should be noted that, in the above-mentioned calculation formula for the safety factor of the tower node of the tower crane, the smaller the difference between the three-dimensional coordinate values on the x-axis, y-axis and z-axis corresponding to a certain tower node position of the tower crane and the initial three-dimensional coordinate values on the x-axis, y-axis and z-axis corresponding to the tower node position, the greater the safety factor of the tower node of the tower crane, indicating that the tower node of the tower crane meets the safety standards more.
[0068] In a specific embodiment of the present invention, safety monitoring and analysis is performed on the tower nodes of the tower crane. The purpose is that the position changes of the tower nodes can reflect the structural stability of the tower crane. If the position offset of a tower node is too large, the overall structure of the tower crane will be at risk of loosening, thereby affecting the overall operational stability.
[0069] B4: extracting the angle between the tower and the base of the tower crane from the three-dimensional appearance image of the tower crane, and recording it as the tower placement angle of the tower crane;
[0070] B5: Compare the tower crane's tower placement angle with the tower crane's tower standard placement angle in the data cloud platform to calculate the tower crane's tower placement safety factor. The calculation formula is: Where β is the safety factor of the tower crane, θ″ is the angle of the tower crane, and θ 0 It is expressed as the standard placement angle of the tower of a tower crane;
[0071] It should be noted that, in the above-mentioned tower crane tower placement safety factor calculation formula, the smaller the difference between the tower crane tower placement angle and the tower crane tower standard placement angle, the greater the tower crane tower placement safety factor, indicating that the tower crane tower placement is more in line with safety standards.
[0072] In a specific embodiment of the present invention, a safety monitoring and analysis is performed on the tower placement of a tower crane. The purpose is to take into account that the tower placement can reflect the offset condition of the overall structure of the tower crane. If the difference between the tower placement angle of the tower crane and the standard tower placement angle of the tower crane is too large, the tower crane will be at risk of tilting and collapsing.
[0073] B6: The tower safety factor of the tower crane is calculated based on the tower node safety factor of the tower crane and the tower placement safety factor of the tower crane. The calculation formula is: Where θ is the tower safety factor of the tower crane, e is the natural constant, γ 1 and γ 2 They respectively represent the safety correction factors corresponding to the tower nodes and tower placement of the preset tower crane.
[0074] Specifically, the boom safety monitoring unit is used to perform safety monitoring on the boom of the tower crane, and the specific process is as follows:
[0075] C1: Take the ground where the tower crane is located as the reference horizontal plane, and then obtain the angle formed between the boom of the tower crane and the reference horizontal plane, and record it as the boom operating angle of the tower crane;
[0076] C2: Compare the boom operating angle of the tower crane with the maximum allowable operating angle of the tower crane boom in the data cloud platform to calculate the boom operating safety factor of the tower crane. The calculation formula is: Where λ is the safety factor of the tower crane’s boom operation, j 0 It represents the maximum allowable operating angle of the tower crane's boom, and j represents the operating angle of the tower crane's boom.
[0077] It should be noted that, in the above-mentioned calculation formula for the safety factor of the boom operation of the tower crane, the smaller the boom operation angle of the tower crane, the greater the boom operation safety factor of the tower crane, indicating that the boom operation of the tower crane is more in line with safety standards.
[0078] In a specific embodiment of the present invention, the operation of the boom of the tower crane is safety monitored and analyzed. The purpose is to take into account that the boom is the operating body of the tower crane, and its operating safety condition will affect the overall operating stability of the tower crane. If the operating angle of the boom of the tower crane is too large, the boom of the tower crane will be at risk of deviation and collapse, which will be detrimental to the progress of the overall operation.
[0079] Specifically, the tie rod safety monitoring unit is used to perform safety monitoring on the tie rod of the tower crane, and the specific process is as follows:
[0080] D1: Identify the position of each tie rod from the three-dimensional appearance image of the tower crane, and then number each tie rod of the tower crane as 1, ..., p, ..., u;
[0081] D2: Using a tension sensor to detect the tension borne by each tie rod of the tower crane, and then obtaining the tension borne by each tie rod of the tower crane;
[0082] D3: Compare the tension borne by each tie rod of the tower crane with the maximum tension that the tie rod of the tower crane can withstand stored in the data cloud platform, and calculate the load-bearing safety factor of the tie rod of the tower crane. The calculation formula is: in It is expressed as the safety factor of the tower crane’s tie rod load, F″ is expressed as the maximum tension that the tower crane’s tie rod can withstand, f p It is expressed as the tension borne by the pth tie rod of the tower crane;
[0083] It should be noted that, in the above-mentioned calculation formula for the safety factor of the tie rod load-bearing of the tower crane, the smaller the tension borne by a certain tie rod of the tower crane, the greater the safety factor of the tie rod load-bearing of the tower crane, indicating that the tie rod load-bearing of the tower crane is more in line with the safety standards.
[0084] D4: Based on the obtained tension on each tie rod of the tower crane, the maximum tension and minimum tension on the tie rod are extracted, and then the safety factor of the force distribution of the tie rod of the tower crane is calculated. The calculation formula is: Where η is the safety factor of the tower crane's tie rod force distribution, f max and f min They represent the maximum and minimum tensions that the rod can bear, respectively. 0 ' represents the maximum tension difference that the pull rod of the preset tower crane can withstand;
[0085] It should be noted that, in the above-mentioned calculation formula for the safety factor of the force distribution of the tie rod of the tower crane, the smaller the difference between the maximum tension and the minimum tension borne by the tie rod, the greater the safety factor of the force distribution of the tie rod of the tower crane, indicating that the force distribution of the tie rod of the tower crane is more in line with the safety standards.
[0086] In a specific embodiment of the present invention, a safety analysis is performed on the force distribution of the tie rod of the tower crane. The purpose is to take into account the negative impact of uneven force on the tower crane. If the difference between the maximum tension and the minimum tension borne by the tie rod is too large, the risk of tipping over of the tower crane will increase.
[0087] D5: Based on the safety factor of the tower crane's tie rod load and the safety factor of the tower crane's tie rod force distribution, the safety factor of the tower crane's tie rod is calculated using the following formula: in Expressed as the safety factor of the tower crane tie rod, a 1 and a 2 They respectively represent the safety weight factors corresponding to the preset tower crane's tie rod load-bearing and force distribution.
[0088] Furthermore, the calculation formula of the tower crane's own safety factor is: Where ξ is the inherent safety factor of the tower crane, b 1 、b 2 、b 3 and b 4They are the safety weight coefficients corresponding to the base, tower, boom and tie rod of the tower crane.
[0089] The tower crane external environment safety monitoring module is used to perform safety monitoring on the external environment of the tower crane and evaluate the external environment safety factor of the tower crane.
[0090] Reference Figure 4 As shown, the external environment safety monitoring module of the tower crane includes a precipitation safety monitoring unit and a wind speed safety monitoring unit;
[0091] Specifically, the precipitation safety monitoring unit is used to monitor the precipitation of the external environment in the area where the tower crane is located, and the specific process is as follows:
[0092] E1: Monitor the precipitation of the external environment in the area where the tower crane is located by using a rain gauge, and then obtain the precipitation corresponding to the external environment in the area where the tower crane is located;
[0093] E2: Compare the precipitation corresponding to the external environment in the area where the tower crane is located with the safe precipitation stored in the data cloud platform, and calculate the precipitation safety factor in the area where the tower crane is located. The calculation formula is: Where μ represents the safety factor of precipitation in the area where the tower crane is located, SL″ represents the safe precipitation, and sl′ represents the precipitation corresponding to the external environment in the area where the tower crane is located.
[0094] It should be noted that in the above-mentioned calculation formula for the precipitation safety factor in the area where the tower crane is located, the smaller the precipitation corresponding to the external environment in the area where the tower crane is located, the greater the precipitation safety factor in the area where the tower crane is located, indicating that the precipitation in the area where the tower crane is located is more in line with the safety standards.
[0095] In a specific embodiment of the present invention, the precipitation includes rain, snow, hail, etc. If the precipitation is too large, it will cause impact or squeezing risks to the tower crane, thereby affecting the operating safety of the tower crane.
[0096] Specifically, the wind speed safety monitoring unit is used to monitor the wind speed of the external environment in the area where the tower crane is located, and the specific process is as follows:
[0097] F1: Monitor the wind speed of the external environment in the area where the tower crane is located by using an anemometer, and then obtain the wind speed corresponding to the external environment in the area where the tower crane is located;
[0098] F2: Compare the wind speed corresponding to the external environment in the area where the tower crane is located with the maximum wind speed that the tower crane can withstand stored in the data cloud platform, and calculate the wind speed safety factor in the area where the tower crane is located. The calculation formula is: in Expressed as the wind speed safety factor in the area where the tower crane is located, FS max It represents the maximum wind speed that the tower crane can withstand, and fs″ represents the wind speed corresponding to the external environment in the area where the tower crane is located.
[0099] It should be noted that in the above-mentioned calculation formula for the wind speed safety factor in the area where the tower crane is located, the smaller the wind speed corresponding to the external environment in the area where the tower crane is located, the greater the wind speed safety factor in the area where the tower crane is located, indicating that the wind speed in the area where the tower crane is located is more in line with safety standards.
[0100] Furthermore, the calculation formula of the external environment safety factor of the tower crane is: Where σ represents the external environmental safety factor of the tower crane, c 1 and c 2 They are the safety weight values corresponding to the precipitation and wind speed in the area where the tower crane is located.
[0101] In a specific embodiment of the present invention, by using multiple monitoring devices such as inspection drones, high-definition cameras and tension sensors, safety monitoring of the base appearance, tower, boom operation and pull rod bearing of the tower crane is achieved, thereby realizing multi-dimensional safety monitoring of the tower crane, improving the comprehensiveness of the safety monitoring of the tower crane, and providing a reliable basis for the safety assessment of the operation of the tower crane. At the same time, the present invention realizes safety monitoring of the wind speed and precipitation of the external environment in the area where the tower crane is located by using an anemometer and a rain gauge, thereby effectively ensuring the operation safety of the tower crane and improving the operation stability of the tower crane.
[0102] The comprehensive analysis platform is used to comprehensively analyze the operation safety factor of the tower crane based on the monitoring results of the tower crane's own safety monitoring module and the tower crane's external environment safety monitoring module;
[0103] Specifically, the calculation formula for the operation safety factor of the tower crane is: Where τ represents the operating safety factor of the tower crane, κ 1 and κ 2 They respectively represent the safety correction factors corresponding to the preset tower crane itself and the external environment.
[0104] The operation safety warning terminal is used to compare the operation safety factor of the tower crane with a preset standard operation safety factor. If the operation safety factor of the tower crane is lower than the standard operation safety factor, an operation safety warning is issued.
[0105] It should be noted that, by setting up an operation safety warning terminal, the present invention enables the staff to intuitively see the operation safety status of the tower crane and make timely operation adjustments, thereby effectively ensuring the operation safety of the tower crane.
[0106] In a specific embodiment of the present invention, by providing an intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence, it is possible to perform intelligent operation safety monitoring on tower cranes. Compared with traditional manual monitoring methods, considering the high height of tower cranes, the risk of manual high-altitude operations is avoided and the incidence of safety accidents is greatly reduced. For monitoring personnel, it not only reduces the difficulty of work, but also greatly alleviates the workload. At the same time, it avoids the influence of blind spots in the line of sight, and can discover subtle safety issues of tower cranes, thereby improving monitoring efficiency and having good real-time performance.
[0107] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.
Claims
1. An intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence, characterized in that: include: Data cloud platform, tower crane self-safety monitoring module, tower crane external environment safety monitoring module, comprehensive analysis platform and operation safety early warning terminal; The data cloud platform is used to store the three-dimensional appearance image of the standard base of the tower crane, store the initial three-dimensional coordinates corresponding to the position of each tower node, store the standard tower placement angle of the tower crane, the maximum allowable operating angle of the boom and the maximum tension that the pull rod can withstand, and store the safe precipitation and the maximum wind speed that the tower crane can withstand; The tower crane self-safety monitoring module is used to perform self-safety monitoring on the tower crane and evaluate the self-safety factor of the tower crane, wherein the tower crane self-safety monitoring module includes a base safety monitoring unit, a tower safety monitoring unit, a boom safety monitoring unit and a pull rod safety monitoring unit; The tower crane external environment safety monitoring module is used to perform safety monitoring on the external environment of the tower crane and evaluate the external environment safety factor of the tower crane, wherein the tower crane external environment safety monitoring module includes a precipitation safety monitoring unit and a wind speed safety monitoring unit; The comprehensive analysis platform is used to comprehensively analyze the operation safety factor of the tower crane based on the monitoring results of the tower crane's own safety monitoring module and the tower crane's external environment safety monitoring module; The operation safety warning terminal is used to compare the operation safety factor of the tower crane with the preset standard operation safety factor. If the operation safety factor of the tower crane is lower than the standard operation safety factor, an operation safety warning is issued; The precipitation safety monitoring unit is used to monitor the precipitation of the external environment in the area where the tower crane is located, and the specific process is as follows: E1: Monitor the precipitation of the external environment in the area where the tower crane is located by using a rain gauge, and then obtain the precipitation corresponding to the external environment in the area where the tower crane is located; E2: Compare the precipitation corresponding to the external environment in the area where the tower crane is located with the safe precipitation stored in the data cloud platform, and calculate the precipitation safety factor in the area where the tower crane is located. The calculation formula is: ,in It is expressed as the safety factor of precipitation in the area where the tower crane is located, Expressed as safe precipitation, It is expressed as the precipitation corresponding to the external environment in the area where the tower crane is located; The wind speed safety monitoring unit is used to monitor the wind speed of the external environment in the area where the tower crane is located, and the specific process is as follows: F1: Monitor the wind speed of the external environment in the area where the tower crane is located by using an anemometer, and then obtain the wind speed corresponding to the external environment in the area where the tower crane is located; F2: Compare the wind speed corresponding to the external environment in the area where the tower crane is located with the maximum wind speed that the tower crane can withstand stored in the data cloud platform, and calculate the wind speed safety factor in the area where the tower crane is located. The calculation formula is: ,in It is expressed as the wind speed safety factor in the area where the tower crane is located. It is the maximum wind speed that the tower crane can withstand. It is expressed as the wind speed corresponding to the external environment in the area where the tower crane is located; The calculation formula of the external environment safety factor of the tower crane is: ,in It is expressed as the external environment safety factor of the tower crane. and They are the safety weight values corresponding to the precipitation and wind speed in the area where the tower crane is located.
2. The intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence according to claim 1 is characterized by: The base safety monitoring unit is used to monitor the safety of the tower crane base, and the specific process is as follows: A1: The high-definition camera installed in the inspection drone is used to collect the three-dimensional appearance image of the tower crane, thereby obtaining the three-dimensional appearance image of the tower crane, and extracting the three-dimensional appearance image corresponding to the base of the tower crane from it; A2: Compare the three-dimensional appearance image corresponding to the tower crane base with the three-dimensional appearance image of the standard base of the tower crane stored in the data cloud platform, and then extract the appearance defect areas corresponding to the tower crane base, and number them as 1, 2, ..., i, ..., k, and then extract the appearance defect type and appearance defect area of each appearance defect area; A3: Match the appearance defect type of each appearance defect area of the tower crane base with the preset risk impact factor per unit area of each appearance defect type, and obtain the risk impact factor per unit area of the appearance defect type of each appearance defect area of the tower crane base, and then calculate the appearance safety factor of the tower crane base based on it. The calculation formula is: , It is expressed as the appearance safety factor of the tower crane base. and Respectively represent the tower crane base corresponding to the The appearance defect area of each appearance defect area and the risk impact factor per unit area of this appearance defect type.
3. The intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence according to claim 2 is characterized by: The tower safety monitoring unit is used to perform safety monitoring on the tower of the tower crane, and the specific process is as follows: B1: Identify the location of each tower node from the three-dimensional appearance image of the tower crane, and number the identified tower nodes as 1, 2, ..., m, ..., v; B2: constructing a three-dimensional rectangular coordinate system for the tower according to a preset three-dimensional rectangular coordinate system construction method, and then obtaining the three-dimensional coordinates corresponding to the position of each tower node based on the constructed three-dimensional rectangular coordinate system; B3: Compare the three-dimensional coordinates corresponding to the positions of each tower node with the initial three-dimensional coordinates corresponding to the positions of each tower node stored in the data cloud platform, and calculate the tower node safety factor of the tower crane. The calculation formula is: ,in Expressed as the tower node safety factor of the tower crane, , and Respectively represent the tower crane The tower node position corresponds to axis, Axis and The initial three-dimensional coordinate values on the axis, , and Respectively represent the tower crane The tower node position corresponds to axis, Axis and The three-dimensional coordinate values on the axis; B4: extracting the angle between the tower and the base of the tower crane from the three-dimensional appearance image of the tower crane, and recording it as the tower placement angle of the tower crane; B5: Compare the tower crane's tower placement angle with the tower crane's tower standard placement angle in the data cloud platform to calculate the tower crane's tower placement safety factor. The calculation formula is: ,in Expressed as the tower crane's tower placement safety factor, It is expressed as the tower placement angle of the tower crane. It is expressed as the standard placement angle of the tower of a tower crane; B6: The tower safety factor of the tower crane is calculated based on the tower node safety factor of the tower crane and the tower placement safety factor of the tower crane. The calculation formula is: ,in It is expressed as the tower safety factor of the tower crane, e is expressed as a natural constant, and They respectively represent the safety correction factors corresponding to the tower nodes and tower placement of the preset tower crane.
4. The intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence according to claim 3 is characterized by: The boom safety monitoring unit is used to perform safety monitoring on the boom of the tower crane, and the specific process is as follows: C1: Take the ground where the tower crane is located as the reference horizontal plane, and then obtain the angle formed between the boom of the tower crane and the reference horizontal plane, and record it as the boom operating angle of the tower crane; C2: Compare the boom operating angle of the tower crane with the maximum allowable operating angle of the tower crane boom in the data cloud platform to calculate the boom operating safety factor of the tower crane. The calculation formula is: ,in It is expressed as the safety factor of the tower crane's boom operation. It is expressed as the maximum operating angle allowed for the boom of the tower crane. Expressed as the operating angle of the tower crane's boom.
5. The intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence according to claim 4 is characterized by: The tie rod safety monitoring unit is used to perform safety monitoring on the tie rod of the tower crane, and the specific process is as follows: D1: Identify the position of each tie rod from the three-dimensional appearance image of the tower crane, and then number each tie rod of the tower crane as 1, ..., p, ..., u; D2: The tension on each tie rod of the tower crane is detected by a tension sensor, thereby obtaining the tension on each tie rod of the tower crane; D3: Compare the tension borne by each tie rod of the tower crane with the maximum tension that the tie rod of the tower crane can withstand stored in the data cloud platform, and calculate the load-bearing safety factor of the tie rod of the tower crane. The calculation formula is: ,in It is expressed as the safety factor of the tower crane's tie rod load. It is expressed as the maximum pulling force that the tower crane's tie rod can withstand. It is expressed as the tension on the pth tie rod of the tower crane; D4: Based on the obtained tension on each tie rod of the tower crane, the maximum tension and minimum tension on the tie rod are extracted, and then the safety factor of the force distribution of the tie rod of the tower crane is calculated. The calculation formula is: ,in It is expressed as the safety factor of the force distribution of the tower crane's tie rod, and They represent the maximum and minimum tensions that the rod can bear, respectively. It is expressed as the maximum tension difference that the tie rod of the preset tower crane can withstand; D5: Based on the load-bearing safety factor of the tower crane's tie rod and the force distribution safety factor of the tower crane's tie rod, the safety factor of the tower crane's tie rod is calculated using the following formula: ,in Expressed as the safety factor of the tower crane tie rod, and They are respectively represented as the safety weight factors corresponding to the preset tower crane's tie rod bearing and force distribution.
6. The intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence according to claim 5 is characterized by: The calculation formula of the tower crane's own safety factor is: ,in Expressed as the tower crane's own safety factor, , , and They are the safety weight coefficients corresponding to the base, tower, boom and tie rod of the tower crane.
7. The intelligent monitoring, analysis and early warning system for crane operation safety based on intelligence according to claim 6 is characterized by: The calculation formula of the operation safety factor of the tower crane is: ,in Expressed as the operating safety factor of the tower crane, and They respectively represent the safety correction factors corresponding to the preset tower crane itself and the external environment.