Hydraulic climbing frame walkway load detection system and detection method thereof

Abstract

The invention relates to the technical field of constructional engineering detection, and provides a hydraulic climbing frame aisle load detection system and method, and the system comprises a fiber grating sensor, an optical fiber, a processing module, a fixing device, a fiber grating access port, and a load detection module. The fiber bragg grating sensor detects whether the free end of the adjustable floor supporting beam deforms or not; the processing module sends optical signals to the fiber bragg grating sensor regularly through optical fibers, the fiber bragg grating sensor receives the optical signals and then converts physical quantity of the free end of the adjustable floor supporting beam into optical signals and transmits the optical signals to the processing module, and the processing module obtains strain data and transmits the strain data to the load detection module for load calculation. And when the calculation result is overload, the load detection module judges an overload area and notifies the processing module to carry out visual shooting on the overload area, then the shooting result is sent to the load detection module, and prompt processing is carried out through the load detection module. According to the invention, unmanned detection of the aisle load of the hydraulic climbing frame can be realized.

Description

Technical Field

[0001] This invention relates to the field of building engineering testing technology, and in particular to a hydraulic climbing scaffold walkway load testing system and its testing method. Background Technology

[0002] Hydraulic climbing formwork is a relatively advanced formwork technology, consisting of climbing scaffolding, attachment support devices, platform walkways, and a hydraulic climbing system.

[0003] Adjustable floor support beams are part of the attached support device, which support the entire hydraulic climbing scaffold (climbing scaffold), prevent the climbing scaffold guide rails from overturning and falling, and can adjust their length according to the area of ​​different floors to adapt to the construction of buildings with irregular shapes.

[0004] Platform walkways are fixed to climbing scaffolding, providing footholds for construction workers during the construction of high-rise buildings. For the convenience of construction, workers will temporarily pile up building materials on the walkways. Before the hydraulic climbing scaffolding is raised, the materials piled up on the walkways need to be inspected and cleared. Since the location of the building materials cannot be known in advance, the traditional method requires personnel to patrol and inspect the climbing scaffolding walkways at each location on each floor. Moreover, because the weight and type of materials on the walkways are different (such as construction equipment, steel bars, and formwork), sometimes additional personnel need to be dispatched to carry them. This process consumes a lot of labor and time costs.

[0005] As can be seen from the above, designing a multifunctional load detection system and its detection method based on traditional hydraulic climbing scaffolding is one of the problems that urgently need to be solved in this field. Summary of the Invention

[0006] The purpose of this invention is to solve at least one technical problem in the background art and to provide a hydraulic climbing scaffold walkway load detection system and its detection method.

[0007] To achieve the above objectives, the present invention provides a hydraulic climbing scaffold walkway load detection system, comprising: Fiber Bragg grating sensor, optical fiber, processing module, fixing device, fiber Bragg grating interface, load detection module; The fiber optic sensor is fixed to the upper side of the free end of the adjustable floor slab support beam to detect whether the free end of the adjustable floor slab support beam is deformed due to the accumulation of material. The fiber Bragg grating sensor is connected to an optical fiber, which is connected to the processing module through a fiber Bragg grating inlet. The processing module is fixed below the hydraulic climbing frame walkway by a fixing device. The processing module sends optical signals to the fiber optic grating sensor at regular intervals via the optical fiber. After receiving the optical signals, the fiber optic grating sensor converts the physical quantity of whether the free end of the adjustable floor slab support beam has deformed due to the accumulation of materials into an optical signal, which is then transmitted to the processing module via the optical fiber. The processing module derives strain data based on the received optical signals and transmits the strain data to the load detection module for load calculation. If the calculation result indicates overload, the load detection module identifies the overload area and notifies the processing module to visually capture the overload area. The captured image is then sent to the load detection module for prompt processing.

[0008] According to one aspect of the present invention, the processing module includes: a demodulation module, a power supply, a communication module, an internal interface, and a vision sensor; The power supply provides power to the demodulation module, the communication module, and the vision sensor; The demodulation module periodically sends optical signals, which are transmitted to the fiber optic grating sensor via optical fiber. The fiber optic grating sensor receives the optical signals and returns the optical signals from the measurement point at the free end of the adjustable floor support beam. The demodulation module demodulates the optical signals to obtain strain data at the position of the fiber optic grating sensor and transmits the strain data to the communication module through the internal interface. The communication module then wirelessly transmits the strain data to the load detection module. The visual sensor is communicatively connected to the load detection module. It performs visual imaging of the overloaded area according to the instructions of the load detection module, and then sends the imaging results to the load detection module.

[0009] According to one aspect of the invention, the processing module further includes: a screw through-hole and an opening plate; The lower end of the processing module has an opening plate with a fiber optic grating inlet and four screw holes. The fiber optic grating inlet is located in the center of the opening plate, and the four screw holes are located at the four corners of the opening plate. The opening plate can be fixed to the upper housing of the processing module by screws.

[0010] According to one aspect of the present invention, the load detection module includes: a load calculation unit, a climbing frame load distribution unit, and a visual classification unit; The load calculation unit receives strain data sent by the communication module and calculates the load on the accumulated material based on the strain data. Then, it sends the calculated load result to the climbing frame load distribution unit. The climbing frame load distribution unit determines the overloaded area based on the load result and controls the vision sensor to take a visual picture of the overloaded area based on the determination result. Then, the vision sensor sends the visual picture result to the vision classification unit. The vision classification unit classifies the accumulated material based on the visual picture result and prompts for processing.

[0011] To achieve the above objectives, the present invention also provides a method for detecting the load of a hydraulic climbing scaffold walkway based on the aforementioned hydraulic climbing scaffold walkway load detection system, comprising: A fiber optic grating sensor is fixed to the upper side of the free end of the adjustable floor slab support beam to detect whether the free end of the adjustable floor slab support beam is deformed due to the accumulation of material. The fiber Bragg grating sensor is connected to an optical fiber, which is then connected to the processing module through the fiber Bragg grating inlet. The processing module is fixed below the hydraulic climbing scaffold walkway by a fixing device. The processing module sends optical signals to the fiber Bragg grating sensor at regular intervals via optical fiber. After receiving the optical signals, the fiber Bragg grating sensor converts the physical quantity of whether the free end of the adjustable floor support beam has deformed due to the accumulation of materials into an optical signal, which is then transmitted to the processing module via optical fiber. The processing module derives strain data from the received optical signal and transmits the strain data to the load detection module for load calculation. If the calculation result indicates overload, the load detection module identifies the overload area and notifies the processing module to take a visual image of the overload area. The image is then sent to the load detection module for prompt processing.

[0012] According to one aspect of the present invention, the processing module includes: a demodulation module, a power supply, a communication module, an internal interface, and a vision sensor; The power supply provides power to the demodulation module, the communication module, and the vision sensor; The demodulation module periodically sends optical signals, which are transmitted to the fiber optic grating sensor via optical fiber. The fiber optic grating sensor receives the optical signals and returns the optical signals from the measurement point at the free end of the adjustable floor support beam. The demodulation module demodulates the optical signal to obtain strain data of the fiber optic grating sensor position, and transmits the strain data to the communication module through the internal interface. The communication module then wirelessly transmits the strain data to the load detection module. The visual sensor is communicatively connected to the load detection module. It performs visual imaging of the overloaded area according to the instructions of the load detection module, and then sends the imaging results to the load detection module.

[0013] According to one aspect of the present invention, the load detection module includes: a load calculation unit, a climbing frame load distribution unit, and a visual classification unit; The load calculation unit receives the strain data sent by the communication module, calculates the load on the pile based on the strain data, and then sends the calculated load result to the climbing frame load distribution unit. The climbing frame load distribution unit determines the overload area based on the load results, and then controls the vision sensor to take visual pictures of the overload area based on the determination results. The visual sensor sends the visual capture results to the visual classification unit, which classifies the accumulated materials based on the visual capture results and provides processing prompts.

[0014] To achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the hydraulic climbing scaffold walkway load detection method as described above.

[0015] To achieve the above objectives, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the hydraulic climbing scaffold walkway load detection method as described above.

[0016] According to the present invention, the processing module integrates a demodulation module, a power supply and a communication module, which can periodically detect the strain of the fiber optic grating sensor and capture and record images of the hydraulic climbing scaffold walkway accumulation, realizing unmanned detection of the hydraulic climbing scaffold walkway load, eliminating the need for manual entry into the building for inspection, thereby saving labor costs and improving construction efficiency. The load detection module of this invention includes a load calculation unit, a climbing frame load distribution unit, and a visual classification unit. It is remotely deployed on the network and can calculate the load at each location of the hydraulic climbing frame. The load is integrated and displayed in the climbing frame load distribution unit, which is intuitive and makes it easy for managers to confirm the location of overload on the climbing frame walkway. It can also identify the type of debris in the walkway through visual sensor images, which facilitates the subsequent reasonable arrangement of personnel and improves the efficiency of construction personnel. Attached Figure Description

[0017] Figure 1 This diagram illustrates the usage status of a hydraulic climbing scaffold walkway load detection system according to one embodiment of the present invention. Figure 2 A schematic cross-sectional view illustrating the structural arrangement of a processing module according to an embodiment of the present invention; Figure 3 The diagram schematically illustrates the structural block diagram of a load detection module according to one embodiment of the present invention. Detailed Implementation

[0018] The invention will now be discussed with reference to exemplary embodiments. It should be understood that the described embodiments are merely intended to enable those skilled in the art to better understand and thus implement the invention, and are not intended to imply any limitation on the scope of the invention.

[0019] As used herein, the term "comprising" and its variations are to be interpreted as open-ended terms meaning "including but not limited to". The term "based on" is to be interpreted as "at least partially based on". The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment".

[0020] Figure 1 This diagram schematically illustrates the operational status of a hydraulic climbing scaffold walkway load detection system according to one embodiment of the present invention. Figure 1 As shown, in this embodiment, the hydraulic climbing scaffold walkway load detection system includes: 1. Fiber Bragg grating sensor; 2. Fiber optic cable; 3. Processing module; 4. Fixing device; 5. Fiber Bragg grating inlet; 6. Load detection module (not shown in the figure). Fiber grating sensor 1 is fixed on the upper side of the free end of adjustable floor support beam 6 to detect whether the free end of adjustable floor support beam is deformed due to accumulated material. Fiber Bragg grating sensor 1 is connected to fiber optic 2. Fiber optic 2 is connected to processing module 3 through fiber Bragg grating inlet 5. Processing module 3 is fixed below the climbing frame walkway 8 of hydraulic climbing frame 7 by fixing device 4. The processing module 3 sends optical signals to the fiber optic grating sensor 1 at regular intervals via the optical fiber 2. After receiving the optical signals, the fiber optic grating sensor 1 converts the physical quantity of whether the free end of the adjustable floor support beam 6 is deformed due to the accumulation of materials into an optical signal, which is then transmitted to the processing module 3 via the optical fiber 2. The processing module 3 obtains strain data based on the received optical signals and transmits the strain data to the load detection module for load calculation. When the calculation result indicates overload, the load detection module identifies the overload area and notifies the processing module to take a visual picture of the overload area. The picture result is then sent to the load detection module, which identifies the accumulation of materials and prompts relevant personnel to handle the situation.

[0021] Furthermore, Figure 2 This schematic cross-sectional view illustrates the structural arrangement of a processing module according to one embodiment of the present invention. Figure 2 As shown, in this embodiment, the processing module 3 includes: a demodulation module 31, a power supply 32, a communication module 33, an internal interface 34, and a vision sensor 35; Power supply 32 provides power to demodulation module 31, communication module 33 and vision sensor 35; The demodulation module 31 periodically sends optical signals, which are transmitted to the fiber optic grating sensor 1 through the optical fiber 2. The fiber optic grating sensor 1 receives the optical signals and returns the optical signals of the measurement point at the free end of the adjustable floor support beam 6. The demodulation module 31 demodulates the optical signals to obtain the strain data of the position of the fiber optic grating sensor 1, and transmits the strain data to the communication module 33 through the internal interface 34. The communication module 33 wirelessly transmits the strain data to the load detection module. The vision sensor 35 is connected to the load detection module. It performs visual imaging of the overloaded area according to the instructions of the load detection module, and then sends the imaging results to the load detection module.

[0022] Furthermore, such as Figure 2 As shown, in this embodiment, the processing module 3 further includes: a screw through-hole 36 and an opening plate 37; The lower end of the processing module 3 has an opening plate 37 with a fiber optic grating inlet 5 and four screw ports 36. The fiber optic grating inlet 5 is located in the center of the opening plate 37, and the four screw ports 36 are located at the four corners of the opening plate 37. The opening plate 37 can be fixed to the upper housing of the processing module 3 by screws.

[0023] Furthermore, such as Figure 1 and Figure 2 As shown, in this embodiment, a fixing device 4 is provided on the upper end of the processor module 3. The fixing device 4 has bolt holes. The bolt holes are consistent with the bolt holes on the climbing frame crossbar 9 on the side of the climbing frame walkway 8 and the bolt holes on the climbing frame walkway 8 in terms of diameter, position and spacing. The fixing device 4 is fixed to the climbing frame crossbar 9 by bolt clamping.

[0024] Furthermore, Figure 3 This schematic diagram illustrates the structural block diagram of a load detection module according to one embodiment of the present invention. Figure 3 As shown, in this embodiment, the load detection module includes: a load calculation unit 10, a climbing frame load distribution unit 11, and a visual classification unit 12; The load calculation unit 10 receives strain data sent by the communication module 33 and calculates the load on the pile based on the strain data. Then, it sends the calculated load result to the climbing frame load distribution unit 11. The climbing frame load distribution unit 11 determines the overload area based on the load result and then controls the vision sensor 35 to take a visual picture of the overload area based on the determination result. The vision sensor 35 then sends the visual picture result to the vision classification unit 12. The vision classification unit 12 classifies the pile based on the visual picture result and prompts relevant personnel to handle it.

[0025] In this embodiment, the load detection module is deployed on a mobile device or PC and is wirelessly connected to the processing module 3.

[0026] Furthermore, according to one embodiment of the present invention, the load calculation unit 10 calculates the load condition using strain data and displays the load at each location in the climbing frame load distribution unit 11, including: A mechanical model of the adjustable floor support beam is established, in which the part extending out of the floor can be regarded as a cantilever support beam, and the beam bearing pin bears the concentrated force from the overall weight of the hydraulic climbing frame 7.

[0027] Stress is obtained from the strain at the measurement point. : ; For elastic modulus, For measuring strain at the point; Set the neutral axis of the support beam as Axis, height direction is Axis, width direction is axis; Bending moment at measurement point The expression is: ; For the coordinates of the measurement point, The specific expression for the moment of inertia of the cross-section at the measurement point is: . Furthermore, from bending moment Concentration can be obtained : . The distance from the concentrated force to the measurement point.

[0028] A segmented hydraulic climbing formwork mechanical model was established. Each segment of the hydraulic climbing formwork is supported by multiple adjustable floor slab support beams. Therefore, the hydraulic climbing formwork is considered as a statically indeterminate beam, and the adjustable floor slab support beams are considered as hinged supports. Therefore, the load on the accumulated material on this segmented hydraulic climbing formwork is... for: ; This refers to the number of adjustable floor support beams for this segmented hydraulic climbing formwork. For the first Concentrated forces on the adjustable floor slab support beams The weight of the hydraulic climbing frame.

[0029] Furthermore, the climbing scaffold load distribution unit 11 includes load distribution models for each floor of the climbing scaffold. Specifically, the climbing scaffold load distribution model can display the climbing scaffold load data on the floor plan, allowing managers to directly view the hydraulic climbing scaffold structure and corresponding data. When a section of the hydraulic climbing scaffold is overloaded, a warning is sent to relevant personnel, and a signal is sent to activate the vision sensor 35 at that location. The vision sensor obtains an image of the nearby climbing scaffold walkway 8, and transmits the image to the load detection module. The vision classification unit 12 identifies the type of accumulated material and alerts the relevant personnel to clear it, preparing for subsequent climbing scaffold lifting.

[0030] In this embodiment, the visual classification unit 12 improves the AlexNet neural network's ability to identify different types of piles by training it. The improvements include: By introducing the residual structure from ResNet, the neural network can maintain classification accuracy as the number of layers increases. Specifically, the residual structure includes a main line and branches, with the main line input... Through two 3s The result is obtained from a convolutional layer of 3. The branch line directly inputs The final output is the sum of the results obtained from the main line and the branches. It can be expressed by the formula: ; Using the SiLU activation function instead of ReLU allows for deeper neural networks while improving performance. The formula is as follows: ; in for: .

[0031] According to the above-described solution of the present invention, the processing module of the present invention integrates a demodulation module, a power supply and a communication module, which can periodically detect the strain of the fiber optic grating sensor and capture and record images of the hydraulic climbing formwork walkway accumulation, thereby realizing unmanned detection of the hydraulic climbing formwork walkway load, eliminating the need for manual entry into the building for inspection, thus saving labor costs and improving construction efficiency. The load detection module of this invention includes a load calculation unit, a climbing frame load distribution unit, and a visual classification unit. It is remotely deployed on the network and can calculate the load at each location of the hydraulic climbing frame. The load is integrated and displayed in the climbing frame load distribution unit, which is intuitive and makes it easy for managers to confirm the location of overload on the climbing frame walkway. It can also identify the type of debris in the walkway through visual sensor images, which facilitates the subsequent reasonable arrangement of personnel and improves the efficiency of construction personnel.

[0032] Furthermore, to achieve the above objectives, the present invention also provides a method for detecting the load of a hydraulic climbing scaffold walkway based on the aforementioned hydraulic climbing scaffold walkway load detection system, comprising: The fiber optic sensor 1 is fixed on the upper side of the free end of the adjustable floor support beam 6 to detect whether the free end of the adjustable floor support beam 6 is deformed due to the accumulation of material. Fiber Bragg grating sensor 1 is connected to fiber optic 2. Fiber optic 2 is connected to processing module 3 through fiber Bragg grating inlet 5. Processing module 3 is fixed below the climbing frame walkway 8 of hydraulic climbing frame 7 by fixing device 4. The processing module 3 sends optical signals to the fiber optic grating sensor 1 at regular intervals via the optical fiber 2. After receiving the optical signals, the fiber optic grating sensor 1 converts the physical quantity of whether the free end of the adjustable floor support beam 6 is deformed due to the accumulation of materials into an optical signal, which is then transmitted to the processing module 3 via the optical fiber 2. The processing module 3 obtains strain data based on the received optical signal and transmits the strain data to the load detection module for load calculation. When the calculation result is overload, the load detection module identifies the overload area and notifies the processing module 3 to take a visual picture of the overload area. Then, the picture result is sent to the load detection module for prompt processing.

[0033] Furthermore, according to one embodiment of the present invention, the processing module 3 includes: a demodulation module 31, a power supply 32, a communication module 33, an internal interface 34, and a vision sensor 35; Power supply 32 provides power to demodulation module 31, communication module 33 and vision sensor 35; The demodulation module 31 sends optical signals at regular intervals, which are transmitted to the fiber optic grating sensor 1 through the optical fiber 2. The fiber optic grating sensor 1 receives the optical signals and returns the optical signals of the measurement points at the free end of the adjustable floor support beam 6. The demodulation module 31 demodulates the optical signal to obtain the strain data at the position of the fiber optic grating sensor 1, and transmits the strain data to the communication module 33 through the internal interface 34. The communication module 33 then wirelessly transmits the strain data to the load detection module. The vision sensor 35 is connected to the load detection module. It performs visual imaging of the overloaded area according to the instructions of the load detection module, and then sends the imaging results to the load detection module.

[0034] Furthermore, according to one embodiment of the present invention, the load detection module includes: a load calculation unit 10, a climbing frame load distribution unit 11, and a visual classification unit 12; The load calculation unit 10 receives the strain data sent by the communication module 33, calculates the load on the pile based on the strain data, and then sends the calculated load result to the climbing frame load distribution unit 11. The climbing frame load distribution unit 11 determines the overload area based on the load results, and then controls the vision sensor 35 to take visual pictures of the overload area based on the determination results. Then, the visual sensor 35 sends the visual imaging results to the visual classification unit 12, which classifies the accumulated materials according to the visual imaging results and prompts relevant personnel to handle them.

[0035] In this embodiment, the load detection module is deployed on a mobile device or PC and is wirelessly connected to the processing module 3.

[0036] Furthermore, according to one embodiment of the present invention, the load calculation unit 10 calculates the load condition using strain data and displays the load at each location in the climbing frame load distribution unit 11, including: A mechanical model of the adjustable floor support beam is established, in which the part extending out of the floor can be regarded as a cantilever support beam, and the beam bearing pin bears the concentrated force from the overall weight of the hydraulic climbing frame 7.

[0037] Stress is obtained from the strain at the measurement point. : ; For elastic modulus, For measuring strain at the point; Set the neutral axis of the support beam as Axis, height direction is Axis, width direction is axis; Bending moment at measurement point The expression is: ; For the coordinates of the measurement point, The specific expression for the moment of inertia of the cross-section at the measurement point is: . Furthermore, from bending moment Concentration can be obtained : . The distance from the concentrated force to the measurement point.

[0038] A segmented hydraulic climbing formwork mechanical model was established. Each segment of the hydraulic climbing formwork is supported by multiple adjustable floor slab support beams. Therefore, the hydraulic climbing formwork is considered as a statically indeterminate beam, and the adjustable floor slab support beams are considered as hinged supports. Therefore, the load on the accumulated material on this segmented hydraulic climbing formwork is... for: ; This refers to the number of adjustable floor support beams for this segmented hydraulic climbing formwork. For the first Concentrated forces on the adjustable floor slab support beams The weight of the hydraulic climbing frame.

[0039] Furthermore, the climbing scaffold load distribution unit includes load distribution models for each floor of the climbing scaffold. Specifically, the climbing scaffold load distribution model can display the climbing scaffold load data on the floor plan, allowing managers to directly view the hydraulic climbing scaffold structure and corresponding data. When a section of the hydraulic climbing scaffold is overloaded, an alert is sent to relevant personnel, and a signal is sent to activate the vision sensor 35 at that location. The vision sensor obtains an image of the nearby climbing scaffold walkway 8, which is then transmitted to the load detection module. The vision classification unit 12 identifies the type of accumulated material and alerts the relevant personnel to clear it, preparing for subsequent climbing scaffold lifting.

[0040] In this embodiment, the visual classification unit 12 improves the AlexNet neural network's ability to identify different types of piles by training it. The improvements include: By introducing the residual structure from ResNet, the neural network can maintain classification accuracy as the number of layers increases. Specifically, the residual structure includes a main line and branches, with the main line input... Through two 3s The result is obtained from a convolutional layer of 3. The branch line directly inputs The final output is the sum of the results obtained from the main line and the branches. It can be expressed by the formula: ; Using the SiLU activation function instead of ReLU allows for deeper neural networks while improving performance. The formula is as follows: ; in for: .

[0041] According to the above-described solution of the present invention, the processing module of the present invention integrates a demodulation module, a power supply and a communication module, which can periodically detect the strain of the fiber optic grating sensor and capture and record images of the hydraulic climbing formwork walkway accumulation, thereby realizing unmanned detection of the hydraulic climbing formwork walkway load, eliminating the need for manual entry into the building for inspection, thus saving labor costs and improving construction efficiency. The load detection module of this invention includes a load calculation unit, a climbing frame load distribution unit, and a visual classification unit. It is remotely deployed on the network and can calculate the load at each location of the hydraulic climbing frame. The load is integrated and displayed in the climbing frame load distribution unit, which is intuitive and makes it easy for managers to confirm the location of overload on the climbing frame walkway. It can also identify the type of debris in the walkway through visual sensor images, which facilitates the subsequent reasonable arrangement of personnel and improves the efficiency of construction personnel.

[0042] Furthermore, to achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the hydraulic climbing scaffold walkway load detection method as described above.

[0043] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the hydraulic climbing scaffold walkway load detection method as described above.

[0044] Those skilled in the art will recognize that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0045] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and equipment can be referred to the corresponding process in the foregoing method implementation, and will not be repeated here.

[0046] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0047] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the objectives of the embodiments of the present invention, depending on actual needs.

[0048] In addition, the functional modules in the embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0049] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the sending / receiving methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0050] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in this application.

[0051] It should be understood that the sequence number of each step in the invention and its embodiments does not absolutely imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

Claims

1. A hydraulic climbing scaffold walkway load detection system, characterized in that, include: Fiber Bragg grating sensor, optical fiber, processing module, fixing device, fiber Bragg grating interface, load detection module; The fiber optic sensor is fixed to the upper side of the free end of the adjustable floor slab support beam to detect whether the free end of the adjustable floor slab support beam is deformed due to the accumulation of material. The fiber Bragg grating sensor is connected to an optical fiber, which is connected to the processing module through a fiber Bragg grating inlet. The processing module is fixed below the hydraulic climbing frame walkway by a fixing device. The processing module sends optical signals to the fiber optic grating sensor at regular intervals via the optical fiber. After receiving the optical signals, the fiber optic grating sensor converts the physical quantity of whether the free end of the adjustable floor slab support beam has deformed due to the accumulation of materials into an optical signal, which is then transmitted to the processing module via the optical fiber. The processing module derives strain data based on the received optical signals and transmits the strain data to the load detection module for load calculation. If the calculation result indicates overload, the load detection module identifies the overload area and notifies the processing module to visually capture the overload area. The captured image is then sent to the load detection module for prompt processing.

2. The hydraulic climbing scaffold walkway load detection system according to claim 1, characterized in that, The processing module includes: a demodulation module, a power supply, a communication module, an internal interface, and a vision sensor; The power supply provides power to the demodulation module, the communication module, and the vision sensor; The demodulation module periodically sends optical signals, which are transmitted to the fiber optic grating sensor via optical fiber. The fiber optic grating sensor receives the optical signals and returns the optical signals from the measurement point at the free end of the adjustable floor support beam. The demodulation module demodulates the optical signals to obtain strain data at the position of the fiber optic grating sensor and transmits the strain data to the communication module through the internal interface. The communication module then wirelessly transmits the strain data to the load detection module. The visual sensor is communicatively connected to the load detection module. It performs visual imaging of the overloaded area according to the instructions of the load detection module, and then sends the imaging results to the load detection module.

3. The hydraulic climbing scaffold walkway load detection system according to claim 1, characterized in that, The processing module further includes: a screw passage and an opening plate; The lower end of the processing module has an opening plate with a fiber optic grating inlet and four screw holes. The fiber optic grating inlet is located in the center of the opening plate, and the four screw holes are located at the four corners of the opening plate. The opening plate can be fixed to the upper housing of the processing module by screws.

4. The hydraulic climbing scaffold walkway load detection system according to claim 1, characterized in that, The load detection module includes: a load calculation unit, a climbing frame load distribution unit, and a visual classification unit; The load calculation unit receives strain data sent by the communication module and calculates the load on the accumulated material based on the strain data. Then, it sends the calculated load result to the climbing frame load distribution unit. The climbing frame load distribution unit determines the overloaded area based on the load result and controls the vision sensor to take a visual picture of the overloaded area based on the determination result. Then, the vision sensor sends the visual picture result to the vision classification unit. The vision classification unit classifies the accumulated material based on the visual picture result and prompts for processing.

5. The hydraulic climbing scaffold walkway load detection method of the hydraulic climbing scaffold walkway load detection system according to any one of claims 1-4, characterized in that, include: A fiber optic grating sensor is fixed to the upper side of the free end of the adjustable floor slab support beam to detect whether the free end of the adjustable floor slab support beam is deformed due to the accumulation of material. The fiber Bragg grating sensor is connected to an optical fiber, which is then connected to the processing module through the fiber Bragg grating inlet. The processing module is fixed below the hydraulic climbing scaffold walkway by a fixing device. The processing module sends optical signals to the fiber Bragg grating sensor at regular intervals via optical fiber. After receiving the optical signals, the fiber Bragg grating sensor converts the physical quantity of whether the free end of the adjustable floor support beam has deformed due to the accumulation of materials into an optical signal, which is then transmitted to the processing module via optical fiber. The processing module derives strain data from the received optical signal and transmits the strain data to the load detection module for load calculation. If the calculation result indicates overload, the load detection module identifies the overload area and notifies the processing module to take a visual image of the overload area. The image is then sent to the load detection module for prompt processing.

6. The method for detecting the load on a hydraulic climbing scaffold walkway according to claim 5, characterized in that, The processing module includes: a demodulation module, a power supply, a communication module, an internal interface, and a vision sensor; The power supply provides power to the demodulation module, the communication module, and the vision sensor; The demodulation module periodically sends optical signals, which are transmitted to the fiber optic grating sensor via optical fiber. The fiber optic grating sensor receives the optical signals and returns the optical signals from the measurement point at the free end of the adjustable floor support beam. The demodulation module demodulates the optical signal to obtain strain data of the fiber optic grating sensor position, and transmits the strain data to the communication module through the internal interface. The communication module then wirelessly transmits the strain data to the load detection module. The visual sensor is communicatively connected to the load detection module. It performs visual imaging of the overloaded area according to the instructions of the load detection module, and then sends the imaging results to the load detection module.

7. The method for detecting the load on a hydraulic climbing scaffold walkway according to claim 6, characterized in that, The load detection module includes: a load calculation unit, a climbing frame load distribution unit, and a visual classification unit; The load calculation unit receives the strain data sent by the communication module, calculates the load on the pile based on the strain data, and then sends the calculated load result to the climbing frame load distribution unit. The climbing frame load distribution unit determines the overload area based on the load results, and then controls the vision sensor to take visual pictures of the overload area based on the determination results. The visual sensor sends the visual capture results to the visual classification unit, which classifies the accumulated materials based on the visual capture results and provides processing prompts.

8. An electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the hydraulic climbing scaffold walkway load detection method as described in any one of claims 5-7.

9. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the hydraulic climbing scaffold walkway load detection method as described in any one of claims 5-7.

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