A tower crane manway safety monitoring system and construction method that climbs with a climbing frame

Abstract

The application discloses a tower crane manway safety monitoring system and construction method for climbing with a climbing frame, belongs to the technical field of building construction, and comprises a climbing monitoring module, a walkway plate state monitoring module, a steel wire rope monitoring module, an image monitoring module, a cloud server, a control console, a mobile terminal, a simulation module and an early warning module, the climbing monitoring module comprises a displacement monitoring unit, a load monitoring unit, a time monitoring unit and an environment monitoring unit, and the steel wire rope monitoring module comprises a tension monitoring unit and a vibration monitoring unit. The manway is in a suspended state during the climbing frame lifting and the use of the manway, and there is no monitoring device during the climbing frame lifting and the use of the manway, so that the climbing state cannot be known, and a certain safety hazard exists.

Description

Technical Field

[0001] This invention relates to, but is not limited to, the field of building construction technology. Specifically, it relates to a safety monitoring system and construction method for a personnel access passageway of a tower crane that ascends with a climbing scaffold. Background Technology

[0002] In construction projects, tower cranes are common lifting equipment. As the building height increases, the tower crane also needs to be raised accordingly. Tower cranes are the most commonly used lifting equipment on construction sites, also known as "tower cranes". They are used to lift construction materials such as steel bars, timber, concrete, and steel pipes in standard sections.

[0003] Traditional tower crane access channels are typically monolithic, making them difficult to move and handle, resulting in high transportation costs. Furthermore, the need for a fixed connection between the access channel and the building's interior inevitably impacts the building's structure. Each time the access channel is lifted upwards, it requires manual disconnection from the building and re-secured at a higher level, a time-consuming, labor-intensive, and non-manual process that also poses safety hazards.

[0004] For example, Chinese patent application number CN202111561015.1 describes a reusable tower crane access passage that rises with the climbing frame. By setting up a reusable tower crane access passage that rises with the climbing frame, the tower crane passage is raised together with the climbing frame, avoiding multiple erections. However, during the lifting of the climbing frame and the use of the access passage, the access passage is in a suspended state. There is no monitoring device for the access passage and the lifting of the climbing frame, making it impossible to know its climbing status, which poses certain safety hazards. Therefore, a safety monitoring system and construction method for a tower crane access passage that rises with the climbing frame are designed. Summary of the Invention

[0005] This invention provides a safety monitoring system for a tower crane access passage that ascends with the climbing frame. It solves the problem that during the lifting of the climbing frame and the use of the access passage, the access passage is in a suspended state and there is no monitoring device during the lifting process, which makes it impossible to know the climbing status and poses certain safety hazards.

[0006] In view of the above problems, the technical solution proposed by the present invention is as follows:

[0007] This invention provides a safety monitoring system for personnel access passages on tower cranes that ascend with the climbing frame, including a climbing monitoring module, a walkway status monitoring module, a wire rope monitoring module, an image monitoring module, a cloud server, a console, a mobile terminal, a simulation module, and an early warning module;

[0008] The climbing monitoring module is used to monitor the climbing status of the access passage. The climbing monitoring module includes a displacement monitoring unit, a load monitoring unit, a time monitoring unit, and an environmental monitoring unit.

[0009] The displacement monitoring unit is used to monitor the displacement changes of the access passage and the climbing frame, and is installed at both ends of the access passage and the climbing position of the climbing frame.

[0010] The load monitoring unit is used to monitor the load on the access passage and is installed at the bottom of the access passage.

[0011] The time monitoring unit is used to monitor the duration of the climbing scaffold and is installed on the climbing scaffold;

[0012] The environmental monitoring unit is used to monitor changes in the external environment of the climbing frame. It is set up around the climbing frame, and the external environmental data includes temperature, humidity and wind speed.

[0013] The walkway status monitoring module is used to monitor the usage status of the walkway in the pedestrian passage.

[0014] The wire rope monitoring module is used to monitor the usage status of the wire rope used by the climbing frame to hoist the personnel access passage. The wire rope monitoring module includes a tensile force monitoring unit and a vibration monitoring unit.

[0015] The tensile force monitoring unit is used to monitor the changes in tensile force on the wire rope and is installed at both ends or the middle of the wire rope.

[0016] The vibration monitoring unit is used to monitor the changes in the tightness of the connection between the two ends of the wire rope and the climbing frame and the access passage, and is installed at the connection between the climbing frame and the access passage and the wire rope.

[0017] The image monitoring module is used to monitor images of the climbing scaffold and the access passage, and is deployed around the climbing scaffold and access passage.

[0018] The cloud server is used to store and process monitoring data from the climbing monitoring module, the walkway status monitoring module, and the wire rope monitoring module;

[0019] The console obtains monitoring data from the cloud server and is used to manage the security monitoring system;

[0020] The mobile device allows for remote management of the security monitoring system through an intuitive operation method;

[0021] The simulation module uses data from the cloud server to simulate the climbing motion of the climbing frame and the access passage.

[0022] The early warning module is used to issue early warnings by comparing real-time data received by the cloud server with a preset threshold.

[0023] As a preferred technical solution of the present invention, the walkway slab status monitoring module includes a deformation monitoring unit and a stability monitoring unit. The deformation monitoring unit is used to monitor the stress on the walkway slab. The deformation monitoring unit is set at the bottom of each walkway slab. The deformation monitoring unit is one of a displacement sensor or a strain sensor.

[0024] The stability monitoring unit is used to monitor the connection stability at the assembly point of the walkway slab. The stability monitoring unit is located at the connection point of the walkway slab assembly position and is either a vibration sensor or an acoustic emission sensor.

[0025] As a preferred embodiment of the present invention, the displacement monitoring unit is one of a displacement sensor or a passive servo vibration sensor;

[0026] The load monitoring unit is either a weighing load sensor or a pressure load sensor.

[0027] The time monitoring unit is a timer. Based on the displacement data monitored by the displacement monitoring unit and the displacement duration monitored by the time monitoring unit, the speed of the climbing frame displacement is calculated.

[0028] The environmental monitoring unit consists of a temperature sensor, a humidity sensor, and a wind speed sensor. The temperature sensor and humidity sensor are installed at equal intervals on the side of the climbing frame, and the wind speed sensor is installed on the top of the climbing frame.

[0029] As a preferred technical solution of the present invention, the tensile force monitoring unit is a tensile force sensor, which observes the trend of tensile force change, determines whether the wire rope is in an overload state, calculates the stress distribution, and evaluates the overall performance of the wire rope.

[0030] The vibration monitoring unit is a vibration sensor that monitors the amplitude and frequency of the wire rope during its use.

[0031] The wire rope monitoring module also includes a magnetic sensing component, which is installed on the wire rope and collects defect signals of the wire rope by sensing changes in magnetic flux.

[0032] As a preferred embodiment of the present invention, the image monitoring module is a high-definition camera, and the image monitoring module uses an abnormal behavior recognition algorithm to monitor the construction work of the workers. The specific steps are as follows:

[0033] a. Input images based on routine construction actions and expressions, and set them as a public dataset;

[0034] b. Use Faceness-Net for facial expression recognition and use an RGB-based dual-stream convolutional neural network for action recognition;

[0035] c. Perform image preprocessing on the identified faces, including face alignment, data augmentation, and face normalization;

[0036] d. Based on the processed images, facial expressions and behavioral actions are recognized, and the facial images and behavioral images are converted into digital feature vectors;

[0037] e. Compare the person's real-time behavioral data with data in a publicly available dataset.

[0038] As a preferred embodiment of the present invention, the simulation steps of the simulation module are as follows:

[0039] A. Using Gensys multibody dynamics simulation analysis software, input the data of the climbing scaffold and the access passage itself, and establish a simulation model of the climbing scaffold and the access passage.

[0040] B. Set parameters and constraints in Gensys software to simulate the climbing process of the climbing frame and the access passage.

[0041] C. Use algorithms to classify fault data that occur during the simulation of the climbing frame and access passage;

[0042] D. Based on the simulation analysis of Gensys software, predict the usage of the climbing scaffold and the personnel access passage during the climbing process.

[0043] As a preferred embodiment of the present invention, the detailed steps of step C, which involves classifying the fault data that occurs during the simulation of the climbing frame and the access passage, are as follows:

[0044] C1, based on neural networks, analyzes and extracts feature data from the conventional fault state signals of the climbing frame and access passage, and performs preliminary parameter learning and fault classification.

[0045] C2 utilizes the HIWO algorithm to normalize the data, thereby optimizing the fault classification and identification method of the neural network.

[0046] On the other hand, a construction method for a safety monitoring system for a tower crane access passageway that ascends with the climbing scaffolding includes the following steps:

[0047] S1, input the parameters of the actual climbing frame and access passage in the console, and use the simulation module to simulate the climbing operation of the climbing frame and access passage;

[0048] S2, Based on the simulation results, optimize the lifting work of the climbing frame and the access passage;

[0049] S3, based on the optimized enhancement parameters, install the climbing frame and access ramp;

[0050] S4, after installation, uses the climbing monitoring module, walkway status monitoring module, wire rope monitoring module and image monitoring module to monitor the climbing work of the climbing frame in real time;

[0051] S5: Real-time monitored data is synchronously transmitted to the cloud server for storage and can be viewed through the console and mobile devices;

[0052] S6, if the monitored data exceeds the preset threshold, an alarm signal is sent to the console and mobile terminal through the early warning module.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] (1) This invention monitors the changes in the climbing data of the climbing frame, the usage status of the walkway and the wire rope in real time, so as to realize the all-round monitoring and early warning of the personnel access of the tower crane, ensure the safety of construction personnel, improve construction efficiency, and provide strong data support for project management.

[0055] (2) This invention uses Gensys multibody dynamics simulation analysis software to simulate the climbing motion of the climbing frame, establishes a virtual model of the climbing frame, and through simulation analysis, combined with HIWO algorithm and neural network, predicts the motion trajectory, stress, stability, fault type and other data of the climbing frame during the lifting process, thereby evaluating the rationality and safety of the design scheme.

[0056] (3) This invention uses a camera combined with facial expression and behavior recognition algorithms to monitor the construction behavior of construction workers on the walkway. When an action or expression that is not a normal action or expression is detected, an alarm is triggered. This invention can identify the abnormal behavior of the workers and deal with it in a timely manner to prevent safety accidents.

[0057] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0058] Figure 1 This is a schematic diagram of a safety monitoring system for a tower crane access passage that ascends with the climbing frame, as disclosed in this invention.

[0059] Figure 2 This is a simulation flowchart of a simulation module for a safety monitoring system for a tower crane access passage that ascends with a climbing frame, as disclosed in this invention.

[0060] Figure 3 This is a schematic diagram of the construction process of a safety monitoring system for a tower crane access passage that ascends with the climbing frame, as disclosed in this invention.

[0061] Explanation of reference numerals in the attached diagram: 100, Climbing monitoring module; 101, Displacement monitoring unit; 102, Load monitoring unit; 103, Time monitoring unit; 104, Environmental monitoring unit; 200, Walkway slab status monitoring module; 201, Deformation monitoring unit; 202, Stability monitoring unit; 300, Wire rope monitoring module; 301, Tensile force monitoring unit; 302, Vibration monitoring unit; 400, Image monitoring module; 500, Cloud server; 600, Control console; 700, Mobile terminal; 800, Simulation module; 900, Early warning module. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0064] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0065] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0066] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0067] Example 1

[0068] See attached document Figure 1-2 As shown, the present invention provides a technical solution: a safety monitoring system for a tower crane access passage that ascends with the climbing frame, including a climbing monitoring module 100, a walkway status monitoring module 200, a wire rope monitoring module 300, an image monitoring module 400, a cloud server 500, a console 600, a mobile terminal 700, a simulation module 800, and an early warning module 900.

[0069] The climbing monitoring module 100 is used to monitor the climbing status of the access passage. The climbing monitoring module 100 includes a displacement monitoring unit 101, a load monitoring unit 102, a time monitoring unit 103, and an environmental monitoring unit 104.

[0070] The displacement monitoring unit 101 is used to monitor the displacement change data of the access passage and the climbing frame, and is installed at both ends of the access passage and the climbing position of the climbing frame.

[0071] The load monitoring unit 102 is used to monitor the load on the access passage and is installed at the bottom of the access passage.

[0072] The time monitoring unit 103 is used to monitor the duration of the climbing scaffold and is installed on the climbing scaffold;

[0073] The environmental monitoring unit 104 is used to monitor changes in the external environment of the climbing frame. It is set up around the climbing frame, and the external environmental data includes temperature, humidity and wind speed.

[0074] The walkway status monitoring module 200 is used to monitor the usage status of the walkway slabs in the pedestrian access passage.

[0075] The wire rope monitoring module 300 is used to monitor the usage status of the wire rope used by the climbing frame to hoist the access passage. The wire rope monitoring module 300 includes a tensile force monitoring unit 301 and a vibration monitoring unit 302.

[0076] The tensile force monitoring unit 301 is used to monitor the changes in tensile force on the wire rope and is installed at both ends or the middle of the wire rope.

[0077] Vibration monitoring unit 302 is used to monitor the changes in tightness of the connection between the two ends of the wire rope and the connection points of the climbing frame and the access passage, and is installed at the connection points of the climbing frame and the access passage with the wire rope;

[0078] The image monitoring module 400 is used to monitor images of the climbing scaffold and the use of the access passage, and is deployed around the climbing scaffold and the access passage.

[0079] The cloud server 500 is used to store and process monitoring data from the climbing monitoring module 100, the walkway status monitoring module 200, and the wire rope monitoring module 300.

[0080] The console 600 obtains monitoring data from the cloud server 500 for managing the security monitoring system;

[0081] The mobile app allows for remote management of the security monitoring system through an intuitive interface.

[0082] The simulation module 800 uses data from the cloud server 500 to simulate the climbing motion of the climbing frame and the access passage.

[0083] The early warning module 900 is used to issue early warnings by comparing the real-time data received by the cloud server 500 with the preset threshold.

[0084] The embodiments of the present invention are also implemented through the following technical solutions.

[0085] In an embodiment of the present invention, the walkway slab status monitoring module 200 includes a deformation monitoring unit 201 and a stability monitoring unit 202. The deformation monitoring unit 201 is used to monitor the stress on the walkway slab. The deformation monitoring unit 201 is disposed at the bottom of each walkway slab. The deformation monitoring unit 201 is one of a displacement sensor or a strain sensor.

[0086] The stability monitoring unit 202 is used to monitor the connection stability at the assembly point of the walkway slab. The stability monitoring unit 202 is set at the connection point of the walkway slab assembly position. The stability monitoring unit 202 is one of a vibration sensor or an acoustic emission sensor. The vibration sensor is used to monitor the vibration at the connection point of the walkway slab. If there is looseness or instability at the connection point, the vibration sensor will detect abnormal vibration signals. By analyzing the vibration data, the tightness of the connection point can be determined.

[0087] The acoustic emission sensor detects acoustic emission signals generated at the connection points of the walkway panels due to loosening or damage. The sensor is sensitive to minute changes and can be used to monitor the status of the connection points in real time.

[0088] In addition, the walkway slabs need to be able to withstand the weight of construction workers and equipment. Therefore, it is crucial to monitor their load-bearing capacity and deformation. By monitoring the walkway slabs and their stress conditions, potential safety hazards can be identified in a timely manner, and corresponding repair or replacement measures can be taken.

[0089] Walkway slabs are typically made up of multiple panels. The connection and fixing of these panels are designed for safety. Monitoring the joints of the walkway slabs to ensure they are secure and not loose, and that the fasteners are intact, can ensure that the walkway slabs will not cause accidents due to connection problems during use.

[0090] In an embodiment of the present invention, the displacement monitoring unit 101 is either a displacement sensor or a passive servo vibration sensor. The passive servo vibration sensor uses an inertial navigation system and is a moving coil reciprocating vibration pickup. Since the structure has both velocity and acceleration during the displacement process, the moving coil reciprocating vibration pickup can calculate the displacement through this signal.

[0091] The load monitoring unit 102 is one of a weighing load sensor or a pressure load sensor;

[0092] The time monitoring unit 103 is a timer. Based on the displacement data monitored by the displacement monitoring unit 101 and the displacement duration monitored by the time monitoring unit 103, the speed of the climbing frame displacement is calculated.

[0093] The environmental monitoring unit 104 consists of a temperature sensor, a humidity sensor, and a wind speed sensor. The temperature sensor and humidity sensor are installed at equal intervals on the side of the climbing frame, and the wind speed sensor is installed on the top of the climbing frame.

[0094] In an embodiment of the present invention, the tensile force monitoring unit 301 is a tensile force sensor that observes the trend of tensile force change, determines whether the wire rope is in an overload state, calculates the stress distribution, and evaluates the overall performance of the wire rope.

[0095] The vibration monitoring unit 302 is a vibration sensor that monitors the amplitude and frequency of the wire rope during its use.

[0096] The wire rope monitoring module 300 also includes a magnetic sensing component, which is installed on the wire rope and collects defect signals of the wire rope by sensing changes in magnetic flux.

[0097] In addition, the magnetic sensing component consists of a magnetically focused structure composed of permanent magnets and magnetic sensitive elements. The number of magnetic sensitive elements inside the magnetic sensor varies depending on the thickness of the wire rope. The entire magnetic sensing component can achieve omnidirectional encirclement of the wire rope, ensuring that the entire wire rope is within the detection range of the magnetic sensing component. If there are problems such as cracks or broken wires on the surface or inside the wire rope of the lifting machinery, the magnetic flux collected by the magnetic sensing component will change.

[0098] In an embodiment of the present invention, the image monitoring module 400 is a high-definition camera. The image monitoring module 400 uses an abnormal behavior recognition algorithm to monitor the construction work of the workers. The specific steps are as follows:

[0099] a. Input images based on routine construction actions and expressions, and set them as a public dataset;

[0100] b. Use Faceness-Net for facial expression recognition and use an RGB-based dual-stream convolutional neural network for action recognition;

[0101] c. Perform image preprocessing on the identified faces, including face alignment, data augmentation, and face normalization;

[0102] d. Based on the processed images, facial expressions and behavioral actions are recognized, and the facial images and behavioral images are converted into digital feature vectors, thereby providing useful information for subsequent classification tasks;

[0103] e. Compare the person's real-time behavioral data with data in a publicly available dataset.

[0104] In addition, in daily applications, the image input in step a is usually obtained from video, through a camera. There are already many publicly available datasets, and different datasets will have different emphases depending on different needs.

[0105] In step c, image preprocessing enhances useful information, highlights its features, and simplifies image information to facilitate feature extraction.

[0106] Step d involves decision-level data fusion, which uses different network models to identify and classify each modal feature, coordinates and integrates the identification results, and combines the credibility of the identification results of different features to give the final decision category. Commonly used fusion strategies include methods based on statistics, adaptive reinforcement, Bayesian theory and its derivatives, fuzzy integrals, and ensemble learning. Referring to the AdaBoost ensemble learning algorithm in decision-level fusion, the results of facial expression and action recognition are fused to make accurate and fast judgments on behavioral anomalies.

[0107] In addition, the facial expression recognition algorithm is improved based on the RepVGG network. After the image is preprocessed, it is fed into the RepVGG facial expression recognition network. The input image is processed through convolutional layers, batch normalization layers and max pooling layers. Then the image is fed into four RepVGG block structures connected together, and finally fed into the Softmax layer through a fully connected layer for facial expression classification, thereby improving the accuracy of facial expression recognition.

[0108] In an embodiment of the present invention, the simulation steps of the simulation module 800 are as follows:

[0109] A. Using Gensys multibody dynamics simulation analysis software, input the data of the climbing scaffold and the access passage itself, and establish a simulation model of the climbing scaffold and the access passage.

[0110] B. Set parameters and constraints in Gensys software to simulate the climbing process of the climbing frame and the access passage.

[0111] C. Use algorithms to classify fault data that occur during the simulation of the climbing frame and access passage;

[0112] D. Based on the simulation analysis of Gensys software, predict the usage of the climbing scaffold and the personnel access passage during the climbing process.

[0113] In an embodiment of the present invention, the detailed steps of step C, which classifies the fault data that occurs during the simulation of the climbing frame and the access passage, are as follows:

[0114] C1, based on neural networks, analyzes and extracts feature data from the conventional fault state signals of the climbing frame and access passage, and performs preliminary parameter learning and fault classification.

[0115] C2 utilizes the HIWO algorithm to normalize the data, thereby optimizing the fault classification and identification method of the neural network.

[0116] Example 2

[0117] See attached document Figure 3 As shown in the figure, another embodiment of the present invention provides a construction method for a safety monitoring system for a tower crane access passage that ascends with the climbing frame, comprising the following steps:

[0118] S1. Input the parameters and constraints of the actual climbing frame and access passage in the console 600, and use the simulation module 800 to simulate the climbing operation of the climbing frame and access passage.

[0119] S2, Based on the simulation results, optimize the lifting work of the climbing frame and the access passage;

[0120] S3, based on the optimized enhancement parameters, install the climbing frame and access ramp;

[0121] S4, after installation, the climbing work of the climbing frame is monitored in real time through the climbing monitoring module 100, the walkway plate status monitoring module 200, the wire rope monitoring module 300 and the image monitoring module 400.

[0122] The climbing monitoring module 100 monitors the displacement, duration, speed and external environment of the climbing frame and the access passage in real time, and also monitors the load status of the access passage during use.

[0123] The walkway slab condition monitoring module 200 monitors the stress on the walkway slab during use and the connection firmness at the assembly points of the walkway slab.

[0124] The wire rope monitoring module 300 enables real-time monitoring of internal and external defects in the wire rope, allowing for timely replacement of the wire rope, preventing accidents, and ensuring the operational stability of the climbing scaffold and personnel access passage.

[0125] The overall working status of the lifting machinery is monitored by the 400 video probe of the image monitoring module, and the staff can check the on-site working status on the mobile terminal and the control panel.

[0126] S5: Real-time monitored data is synchronously transmitted to cloud server 500 for storage, and can be viewed through console 600 and mobile terminal 700;

[0127] S6: Set thresholds for various data in the cloud server 500 or the control panel. If the monitored data exceeds the preset thresholds, send an alarm signal to the control panel 600 and the mobile terminal 700 through the early warning module 900.

[0128] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0129] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0130] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0131] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or outside the processor; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

Claims

1. A safety monitoring system for personnel access passages on tower cranes that ascend with a climbing scaffold, characterized in that, It includes a climbing monitoring module (100), a walkway status monitoring module (200), a wire rope monitoring module (300), an image monitoring module (400), a cloud server (500), a console (600), a mobile terminal (700), a simulation module (800), and an early warning module (900). The climbing monitoring module (100) is used to monitor the climbing status of the access passage. The climbing monitoring module (100) includes a displacement monitoring unit (101), a load monitoring unit (102), a time monitoring unit (103), and an environmental monitoring unit (104). The displacement monitoring unit (101) is used to monitor the displacement change data of the access passage and the climbing frame, and is set at both ends of the access passage and the climbing position of the climbing frame. The load monitoring unit (102) is used to monitor the load of the access passage and is installed at the bottom of the access passage. The time monitoring unit (103) is used to monitor the duration of the climbing frame's ascent and is installed on the climbing frame; The environmental monitoring unit (104) is used to monitor changes in the external environment of the climbing frame. It is set up around the climbing frame. The external environmental data includes temperature, humidity and wind force. The walkway status monitoring module (200) is used to monitor the usage status of the walkway in the pedestrian passage. The wire rope monitoring module (300) is used to monitor the usage status of the wire rope used by the climbing frame to hoist the access passage. The wire rope monitoring module (300) includes a tensile force monitoring unit (301) and a vibration monitoring unit (302). The tensile force monitoring unit (301) is used to monitor the change in tensile force on the wire rope and is installed at both ends or the middle of the wire rope. The vibration monitoring unit (302) is used to monitor the changes in the tightness of the connection between the two ends of the wire rope and the climbing frame and the access passage, and is installed at the connection between the climbing frame and the access passage and the wire rope; The image monitoring module (400) is used to monitor the images of the climbing scaffold and the access passage, and is deployed around the climbing scaffold and the access passage. The cloud server (500) is used to store and process monitoring data from the climbing monitoring module (100), the walkway status monitoring module (200), and the wire rope monitoring module (300); The console (600) obtains monitoring data through the cloud server (500) for managing the security monitoring system; The mobile terminal (700) allows for remote management of the security monitoring system through an intuitive operation method; The simulation module (800) uses data from the cloud server (500) to simulate the climbing motion of the climbing frame and the access passage; The early warning module (900) is used to issue an early warning based on the comparison between the real-time data received by the cloud server (500) and a preset threshold.

2. The safety monitoring system for a tower crane access passageway that ascends with the climbing frame as described in claim 1, characterized in that, The walkway slab status monitoring module (200) includes a deformation monitoring unit (201) and a stability monitoring unit (202). The deformation monitoring unit (201) is used to monitor the stress on the walkway slab. The deformation monitoring unit (201) is set at the bottom of each walkway slab. The deformation monitoring unit (201) is either a displacement sensor or a strain sensor. The stability monitoring unit (202) is used to monitor the connection stability at the assembly point of the walkway slab. The stability monitoring unit (202) is set at the connection point of the walkway slab assembly position. The stability monitoring unit (202) is either a vibration sensor or an acoustic emission sensor.

3. The safety monitoring system for a tower crane access passageway that ascends with the climbing frame as described in claim 1, characterized in that, The displacement monitoring unit (101) is either a displacement sensor or a passive servo vibration sensor; The load monitoring unit (102) is either a weighing load sensor or a pressure load sensor; The time monitoring unit (103) is a timer. Based on the displacement data monitored by the displacement monitoring unit (101) and the displacement duration monitored by the time monitoring unit (103), the speed of the climbing frame displacement is calculated. The environmental monitoring unit (104) consists of a temperature sensor, a humidity sensor, and a wind speed sensor. The temperature sensor and humidity sensor are installed at equal intervals on the side of the climbing frame, and the wind speed sensor is installed on the top of the climbing frame.

4. The safety monitoring system for a tower crane access passageway that ascends with the climbing frame as described in claim 1, characterized in that, The tensile force monitoring unit (301) is a tensile force sensor that observes the trend of tensile force change, determines whether the wire rope is in an overload state, calculates the stress distribution, and evaluates the overall performance of the wire rope. The vibration monitoring unit (302) is a vibration sensor that monitors the amplitude and frequency of the wire rope during its use. The wire rope monitoring module (300) also includes a magnetic sensing component, which is installed on the wire rope and collects defect signals of the wire rope by sensing changes in magnetic flux.

5. A safety monitoring system for a tower crane access passageway that ascends with a climbing scaffold, as described in claim 1, is characterized in that, The image monitoring module (400) is a high-definition camera. The image monitoring module (400) uses an abnormal behavior recognition algorithm to monitor the construction work of the workers. The specific steps are as follows: a. Input images based on routine construction actions and expressions, and set them as a public dataset; b. Use Faceness-Net for facial expression recognition and use an RGB-based dual-stream convolutional neural network for action recognition; c. Perform image preprocessing on the identified faces, including face alignment, data augmentation, and face normalization; d. Based on the processed images, facial expressions and behavioral actions are recognized, and the facial images and behavioral images are converted into digital feature vectors; e. Compare the person's real-time behavioral data with data in a publicly available dataset.

6. A safety monitoring system for a tower crane access passageway that ascends with a climbing scaffold, as described in claim 1, is characterized in that, The simulation steps of the simulation module (800) are as follows: A. Using Gensys multibody dynamics simulation analysis software, input the data of the climbing scaffold and the access passage itself, and establish a simulation model of the climbing scaffold and the access passage. B. Set parameters and constraints in Gensys software to simulate the climbing process of the climbing frame and the access passage. C. Use algorithms to classify fault data that occur during the simulation of the climbing frame and access passage; D. Based on the simulation analysis of Gensys software, predict the usage of the climbing scaffold and the personnel access passage during the climbing process.

7. A safety monitoring system for a tower crane access passageway that ascends with a climbing scaffold, as described in claim 6, is characterized in that, The detailed steps of step C, which involves classifying the fault data that occurs during the simulation of the climbing frame and the access passage, are as follows: C1, based on neural networks, analyzes and extracts feature data from the conventional fault state signals of the climbing frame and access passage, and performs preliminary parameter learning and fault classification. C2 utilizes the HIWO algorithm to normalize the data, thereby optimizing the fault classification and identification method of the neural network.

8. A construction method for a safety monitoring system for a tower crane access passageway that ascends with a climbing scaffold, applicable to the safety monitoring system for a tower crane access passageway that ascends with a climbing scaffold as described in any one of claims 1 to 7, characterized in that, Includes the following steps: S1, Input the parameters of the actual climbing frame and access passage in the console (600), and use the simulation module (800) to simulate the climbing operation of the climbing frame and access passage; S2, Based on the simulation results, optimize the lifting work of the climbing frame and the access passage; S3, based on the optimized enhancement parameters, install the climbing frame and access ramp; S4, after installation, the climbing work of the climbing frame is monitored in real time through the climbing monitoring module (100), the walkway plate status monitoring module (200), the wire rope monitoring module (300) and the image monitoring module (400); S5, real-time monitored data is synchronously transmitted to the cloud server (500) for storage, and can be viewed through the console (600) and mobile terminal (700); S6. If the monitored data exceeds the preset threshold, an alarm signal is sent to the console (600) and mobile terminal (700) through the early warning module (900) to trigger an alarm.

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