Reinforcement protection device and method for building repair

Abstract

The present invention provides a reinforcement and protection device for building repair, comprising a base, a driving component, a pushing portion, and a support member. The driving component is mounted on the bottom of the base for moving the device, and a lifting assembly is provided on the base to adjust the height of the pushing portion. The support member is provided on one side of the pushing portion and includes a support plate and multiple groups of storage capsules for storing magnetorheological fluid. The support plate has a placement groove for fixing the storage capsules, and an electromagnetic coil wrapped around the outer surface of the support plate can adjust the viscosity of the magnetorheological fluid. A main sensor and multiple groups of strain sensors are arranged on the contact surface of the contact plate to collect wall deformation data. A battery pack and a control module in the main body cavity power the device and enable intelligent control. The device uses sensors to monitor the three-dimensional deformation of the wall in real time. After algorithmic analysis, it drives the electromagnetic coil to change the viscosity of the magnetorheological fluid, achieving dynamic adjustment of the support strength. This effectively solves the problem that traditional reinforcement devices cannot adapt to real-time building deformation and are prone to secondary damage, thereby improving the reliability and effectiveness of building repair and reinforcement.

Description

Technical Field

[0001] The present invention belongs to the technical field of building restoration, and more specifically, relates to a reinforcement and protection device and method for building restoration. Background Art

[0002] Building restoration is an important project for maintaining and reinforcing walls and other building structures. When repairing walls, in order to ensure safety and effectiveness during the repair process, reinforcement and protection devices are needed. Reinforcement and protection devices can effectively provide physical support to the walls to prevent them from collapsing or deforming during the repair period. However, traditional reinforcement and protection devices usually use rigid supports and fixed-strength supports, which are unable to independently adjust the support strength, making it difficult to dynamically adapt to the real-time deformation requirements of the building structure. This may not only weaken the reinforcement effect, but may also cause secondary damage due to excessive local stress. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a reinforcement and protection device and method for building repair, so as to solve the technical problems in the prior art that traditional reinforcement and protection devices use rigid and fixed strength supports, cannot dynamically adapt to the real-time deformation requirements of building structures, and easily lead to reinforcement failure or even cause secondary damage.

[0004] The purpose and efficacy of the building repair reinforcement and protection device of the present invention are achieved by the following specific technical means:

[0005] A reinforcement and protection device for building repair, comprising a base, a pushing portion, and a driving component for moving the device, wherein the base is provided with a lifting assembly for adjusting the height of the pushing portion, the pushing portion is mounted on the top of the lifting assembly, the driving component is mounted on the bottom of the base, and a support member is provided above the base and located on one side of the pushing portion;

[0006] The support member includes a support plate and a plurality of storage capsules containing magnetorheological fluid, the support plate being connected to one side of the pushing portion, and a plurality of placement slots being provided on one side of the support plate, forming a grid pattern through the plurality of placement slots, the storage capsules being clamped in the placement slots, and an electromagnetic coil being wound around the storage capsules;

[0007] A contact plate is provided on one side of the storage bag, and one side of the contact plate is provided as a contact surface, through which the contact plate contacts the wall, and a main sensor and multiple groups of strain sensors are provided on the contact surface;

[0008] A main body shell is provided on the base, the main body shell forms a main body cavity, and a battery pack and a control module are installed in the main body cavity.

[0009] According to a preferred embodiment, the lifting assembly includes a first sleeve and an electric lifting rod, and a second sleeve is provided on the base. The first sleeve is inserted into the second sleeve and is slidably connected with the second sleeve to form a lifting cavity;

[0010] The electric lifting rod is located in the lifting chamber, the bottom of the electric lifting rod is connected to the second sleeve, and the top of the electric lifting rod is connected to the first sleeve;

[0011] The pushing portion includes a pushing base, a mounting seat is provided on one side of the first sleeve, and a plurality of clamping blocks are provided on one side of the pushing base. The clamping blocks are arranged in a triangular shape, and an angle α is set between the inclined surface of the clamping block and the side surface of the pushing base, α∈(10°, 30°). The mounting seat has a plurality of clamping slots corresponding to the clamping blocks, and the clamping blocks are clamped in the clamping slots. The pushing base is connected to the mounting seat by a plurality of bolts.

[0012] One side of the pushing base is provided with multiple groups of mounting sleeves, and the first electric cylinders are installed in the mounting sleeves. One side of the support plate is provided with a connecting plate, and the connecting plate is connected to the multiple groups of first electric cylinder shaft ends.

[0013] According to a preferred embodiment, two groups of support frames are provided on the base, the first sleeve and the second sleeve are located between the two groups of support frames, stable racks are provided on both sides of the first sleeve, and a rotating stable gear is provided on the support frame, and the stable gear is engaged with the stable rack;

[0014] A rotating rod is provided on one side of the stabilizing gear, and a locking portion is provided at one end of the rotating rod. A locking sleeve is sleeved on the rotating rod and located in the locking portion. Two groups of sliding grooves are provided at both ends of the locking sleeve. Two groups of positioning holes are provided on the rotating rod corresponding to the sliding grooves. The positioning bolt is inserted into the two groups of sliding grooves at one end of the positioning hole and the locking sleeve. The locking sleeve can be rotated within 50 degrees through the positioning bolt.

[0015] According to a preferred embodiment, the locking sleeve is provided with multiple groups of first latching teeth to form a gear structure, and mounting plates are provided on both sides of the support frame. The second electric cylinder is mounted on the mounting plates, and a locking plate is provided at the shaft end of the second electric cylinder. The locking plate is arc-shaped, and multiple groups of second latching teeth are provided on the inner side of the locking plate to form a rack structure, and the second latching teeth are clamped between two groups of the second latching teeth;

[0016] The tops of the first latching tooth and the second latching tooth are both provided with arc surfaces;

[0017] The stable gear is provided with an oil storage chamber, and a liquid inlet is provided on the stable gear, the ends of the liquid inlet are respectively connected to the oil storage chamber and the outside, the liquid inlet is inclined and forms an angle β with the axial direction of the stable gear, β∈ (15°, 75°);

[0018] The tooth surfaces of the stable gears are each provided with a limiting groove, in which an oil-absorbing cotton is clamped, and a plurality of oil delivery channels are provided in the stable gear, and the oil storage cavity is connected to the limiting groove through the oil delivery channels;

[0019] The oil-absorbing cotton protrudes from the tooth surface of the stable gear and contacts the tooth surface of the stable rack.

[0020] According to a preferred embodiment, a first mounting groove and multiple groups of second mounting grooves are defined on the contact surface. The main sensor is mounted in the first mounting groove, and the strain sensor is mounted in the second mounting groove. The multiple groups of strain sensors are arranged in a hexagon and located at the center of the hexagonal edges. The main sensor is located at the center of the hexagon. The strain sensors are electrically connected to adjacent strain sensors. Two groups of strain sensors and the main sensor are electrically connected to the control module.

[0021] A silicone protective layer is provided on one side of the support plate, and the main sensor and the plurality of strain sensors are located between the silicone protective layer and the support plate, and are in indirect contact with the wall through the silicone protective layer.

[0022] According to a preferred embodiment, the battery pack includes multiple groups of battery modules, a battery box is provided on the base, the battery box is located in the main body cavity, the battery modules are installed in the battery box, and a heat insulation board is provided between the battery modules and adjacent battery modules;

[0023] A mounting bracket is provided in the main body cavity, an equipment box is provided on the mounting bracket, and the control module is installed in the equipment box;

[0024] A mounting frame is provided on the base, the cross section of the mounting frame is stepped, the main body shell is clamped in the mounting frame, multiple groups of water storage tanks are provided in the main body shell, the multiple groups of water outlet tanks are connected, and multiple groups of cooling fins are provided in the main body shell.

[0025] A method for adaptively reinforcing a wall of a reinforcement and protection device for building repair, applied to the above-mentioned reinforcement and protection device for building repair, comprises the following steps:

[0026] S1: Acquire 3D deformation data, perform spatiotemporal fusion and noise filtering preprocessing on the 3D deformation data based on the tensor field dynamic reconstruction algorithm associated with hexagonal topology neighborhood, and generate a feature parameter group including stress tensor parameters, strain gradient parameters and deformation direction parameters;

[0027] S2: Based on the spatial symmetry of the hexagonal array, a multi-scale tensor analysis of the characteristic parameter group is performed using a tensor decomposition algorithm to obtain the principal stress direction parameters and shear strain component parameters of the wall surface. A dynamic weight allocation model is constructed based on the topological neighborhood association rule to dynamically adjust the sensor weight coefficient according to the spatial position of the deformation area and the strain gradient parameter.

[0028] S3: Based on the preset thresholds of the principal stress direction parameters and the shear strain component parameters, when the characteristic parameter group exceeds the preset thresholds, the gradient magnetic field control algorithm is used to perform a partitioned viscosity control operation on the magnetorheological fluid.

[0029] According to a preferred embodiment, the spatiotemporal fusion and noise filtering preprocessing includes the following steps:

[0030] S11: Segment the 3D deformation data using a sliding window algorithm to extract the extreme points, mutation points, and periodic features of the time series, generating a time domain parameter set containing stress change rate and deformation frequency;

[0031] S12: Based on the geometric topology of the hexagonal array, the discrete sensor data is mapped into a continuous spatial field. The spatial gradient is calculated using the Laplace operator to generate a spatial domain parameter set containing the stress distribution morphology and strain gradient direction.

[0032] S13: Adopting the wavelet transform algorithm with adaptive threshold, the time domain parameter group and the space domain parameter group are decomposed, the low-frequency effective signal is retained, the high-frequency random noise is filtered out, and the preprocessed data with enhanced features is generated.

[0033] According to a preferred embodiment, the multi-scale tensor analysis comprises the following steps:

[0034] S21: Decompose the characteristic parameter group into three scales: macroscopic, mesoscopic, and microscopic. Based on the spatial symmetry of the hexagonal array, map the decomposed parameters into a geometric coordinate system to form a tensor field distribution.

[0035] S22: By analyzing the geometric characteristics of the tensor field, the stress concentration areas, the inflection points of the stress gradient change, and the stress distribution morphology are identified; based on the topological neighborhood association rules, the principal stress direction parameters of each area are calculated to obtain the principal stress direction parameters of the wall surface;

[0036] S23: Analyze the shear characteristics of the tensor field, identify the shear strain concentration zone, strain gradient direction, and strain distribution curvature; calculate the shear strain component parameters of each region based on the topological neighborhood association rules, and obtain the shear strain component parameters of the wall surface.

[0037] According to a preferred embodiment, S1 further includes:

[0038] 3D deformation data includes:

[0039] Normal displacement data: The displacement change signal perpendicular to the wall surface generated by the contact surface of the contact plate and the wall is collected by the main sensor and is used to represent the overall settlement or expansion deformation of the wall;

[0040] Tangential displacement data: The displacement change signal parallel to the wall surface generated by the relative sliding between the contact surface and the wall is collected by multiple sets of strain sensors and is used to characterize the shear deformation or slip trend of the wall;

[0041] Angle change data: The inclination change signal generated by the posture change of the contact surface in three-dimensional space is obtained through the collaborative data calculation of the main sensor and the strain sensor, and is used to characterize the torsion or bending deformation of the wall.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] 1. The device has a placement slot on the support plate, and a storage bag containing magnetorheological fluid is placed in the placement slot. Magnetorheological fluid has the characteristic of instantly transforming from liquid to solid under the action of a magnetic field. When the main sensor and strain sensor on the contact surface detect deformation of the wall, the control module adjusts the current intensity of the electromagnetic coil based on the data processing results, thereby changing the viscosity of the magnetorheological fluid in the storage bag, achieving real-time dynamic adjustment of the support strength.

[0044] 2. The device's lifting assembly and push-piece design further enhance the flexibility and adaptability of reinforcement. The electric lifting rod can adjust the height of the push-piece to meet the reinforcement requirements of walls of different heights. The combination of the triangular block on the push-piece base and the mounting slot, combined with the setting of the angle α (10°-30°), ensures that the push-piece is securely installed while facilitating removal and angle adjustment. The first electric cylinder drives the support plate to move, allowing the storage capsule to fit tightly against the wall surface, ensuring that the magnetorheological fluid effectively transmits the supporting force and achieves all-round reinforcement of the wall.

[0045] 3. The hexagonal arrangement of strain sensors and the central master sensor form a highly efficient monitoring network. Compared to traditional single-point or regular grid layouts, the hexagonal array more accurately captures the stress distribution and deformation direction of the wall surface, providing rich and accurate data to the control module. Furthermore, the robust structure consisting of the stabilizing gear, locking sleeve, and second electric cylinder, combined with the lubrication design of the oil-absorbing cotton and oil reservoir, ensures stable and reliable lifting and lowering operation over long-term use, reducing mechanical wear and extending service life, providing continuous and stable support for building repair and reinforcement. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the structure of the present invention after assembly;

[0047] Figure 2 It is a schematic diagram of the structure after the present invention is disassembled;

[0048] Figure 3 It is a schematic structural diagram of the pushing portion;

[0049] Figure 4 This is a schematic diagram of the structure of the storage capsule after it is disassembled;

[0050] Figure 5 yes Figure 2 A partial enlarged view of area a;

[0051] Figure 6 It is a schematic diagram of the structure of a stable gear;

[0052] Figure 7 It is a schematic diagram of the structure after the rotating rod and the locking sleeve are separated;

[0053] Figure 8 It is a cross-sectional view of the stable gear;

[0054] Figure 9 It is a structural diagram of the mounting base;

[0055] Figure 10 It is a structural diagram of the push base;

[0056] Figure 11 A flowchart of the steps of a method for adaptively reinforcing a wall of a reinforcement and protection device for building restoration;

[0057] Figure 12 It is the principle block diagram of the control module.

[0058] In the figure, the corresponding relationship between component names and reference numerals is as follows:

[0059] 11. Base; 12. Main body shell; 13. Second sleeve; 14. Support frame; 15. Assembly plate; 16. Second electric cylinder; 17. Locking plate; 18. Second latch; 19. Battery box; 21. Drive component; 22. Control module; 23. Electric lift rod; 24. Battery module; 25. Mounting bracket; 26. Equipment box; 301. Support plate; 302. Storage bag; 303. Placement slot; 304. Electromagnetic coil; 305. Contact plate; 306. Main sensor; 307. Strain sensor; 308. 08. Connecting plate; 309. First mounting slot; 310. Second mounting slot; 311. Silicone protective layer; 41. First sleeve; 42. Mounting seat; 43. Slot; 51. Push base; 52. Block; 53. Mounting sleeve; 54. First electric cylinder; 61. Stabilizing rack; 62. Stabilizing gear; 63. Rotating rod; 64. Locking sleeve; 65. Sliding slot; 66. Positioning hole; 67. Positioning bolt; 68. First latch; 69. Oil storage chamber; 71. Liquid inlet; 72. Limiting slot; 73. Oil-absorbing cotton. DETAILED DESCRIPTION

[0060] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the technical solutions of the present invention, but are not intended to limit the scope of protection of the present invention.

[0061] Example:

[0062] like Figures 1 to 12 As shown, the present invention provides a reinforcement and protection device for building repair, including a base 11, a pushing part and a driving component 21 for moving the device. The driving component 21 is installed at the bottom of the base 11, and the driving component 21 can drive the device to move on the ground, so that the device can easily reach the position of the wall that needs to be reinforced, meeting the movement requirements of different construction scenarios. A lifting component is provided on the base 11, and the lifting component is used to adjust the height of the pushing part. The pushing part is installed on the top of the lifting component. Through the adjustment of the lifting component, the pushing part can move in the vertical direction, thereby adapting to walls of different heights, so that the device can perform reinforcement operations on walls of different heights. The driving component 21 is installed at the bottom of the base 11 to provide power support for the movement of the device and ensure the stability and flexibility of the movement of the device. A support member is provided above the base 11. The support member is located on one side of the pushing part and is used to support and reinforce the wall.

[0063] The support member includes a support plate 301 and multiple groups of storage capsules 302, and the storage capsules 302 store magnetorheological fluid. The support plate 301 is connected to one side of the pushing part. Under the action of the pushing part, the support plate 301 can be close to the wall. Multiple groups of placement grooves 303 are provided on one side of the support plate 301. The multiple groups of placement grooves 303 are arranged to form a grid structure. This grid-like distribution allows the storage capsules 302 to be evenly distributed on the support plate 301. The storage capsules 302 are clamped in the placement grooves 303, which can fix the storage capsules 302 and prevent them from moving during the operation of the device. An electromagnetic coil 304 is wound around the storage capsule 302. When the electromagnetic coil 304 is energized, a magnetic field is generated. The magnetic field acts on the magnetorheological fluid in the storage capsule 302, which can change the viscosity of the magnetorheological fluid, thereby changing the support strength of the support member, achieving dynamic support and reinforcement of the wall.

[0064] A contact plate 305 is provided on one side of the storage capsule 302. One side of the contact plate 305 serves as a contact surface, through which the contact plate 305 contacts the wall and transmits the supporting force of the support member to the wall. A main sensor 306 and multiple sets of strain sensors 307 are provided on the contact surface. The main sensor 306 can be a displacement sensor that collects vertical displacement signals of the wall, used to characterize overall wall settlement or expansion deformation. The main sensor 306 can be an R-Series LVDT (Linear Variable Differential Transformer) displacement sensor. The multiple sets of strain sensors 307 monitor the strain on the wall surface and obtain strain data, which can reflect the trend and extent of wall deformation. The strain sensors 307 can be Honeywell SS200 series strain gauge sensors. The main and strain sensors 306 transmit the collected data to the control module 22, providing a basis for the control module 22 to analyze the wall's status and issue control instructions.

[0065] A main housing 12 is provided on the base 11. The main housing forms a main cavity, which provides installation space for the battery pack and control module 22. The battery pack and control module 22 are installed in the main cavity. The battery pack is composed of multiple groups of batteries and can store electrical energy to provide power to various components of the device, such as the drive component 21, the electric lift rod 23, and the electromagnetic coil 304, to ensure the normal operation of the device. The control module 22 is the control core of the device. It receives data from the main sensor 306 and the strain sensor 307, analyzes and processes the data, and then controls the operation of components such as the drive component 21, the electric lift rod 23, and the electromagnetic coil 304 based on the analysis results, realizing the automated reinforcement operation of the device. The control module 22 can adopt the TM241CEC24T control module.

[0066] The lifting assembly consists of a first sleeve 41, an electric lift rod 23, and a second sleeve 13. The second sleeve 13 is mounted on the base 11, and the first sleeve 41 is inserted into the second sleeve 13. The two are slidably connected to form a lifting chamber. This sleeve-type structure provides guidance and support for adjusting the height of the push portion, allowing the first sleeve 41 to move up and down smoothly within the second sleeve 13 without shaking or shifting.

[0067] The electric lift rod 23 is located within the lift chamber, connected at its bottom to the second sleeve 13 and at its top to the first sleeve 41. The electric lift rod 23 acts as a power source, driving the first sleeve 41 to slide within the second sleeve 13 through its own telescopic motion. When the electric lift rod 23 extends, the first sleeve 41 moves upward along the second sleeve 13, thereby raising the height of the push portion. When the electric lift rod 23 shortens, the first sleeve 41 moves downward, lowering the push portion. This allows the push portion to be adjusted in height to meet the reinforcement requirements of walls of varying heights.

[0068] like Figure 2 、 Figure 3 、 Figure 9 、 Figure 10 As shown, the pushing portion includes a pushing base 51, a mounting seat 42 is provided on one side of the first sleeve 41, and a plurality of triangular blocks 52 are provided on one side of the pushing base 51. The inclined surface of the block 52 is at an angle α to the side surface of the pushing base 51, and the value of α is in the range of 10° to 30°. The mounting seat 42 has a plurality of slots 43 corresponding to the block 52. After the block 52 is inserted into the slot 43, it can play a preliminary positioning role for the pushing base 51, so that the pushing base 51 can quickly find the corresponding position during installation. Subsequently, the pushing base 51 is connected to the mounting seat 42 by a plurality of bolts. This connection method ensures that the pushing base 51 is firmly installed on the first sleeve 41, and by forming an upward resistance, it limits the movement of the pushing base 51 in the vertical direction, preventing it from loosening and falling off due to vibration or external force during the operation of the device. At the same time, the coordination between the block 52 and the slot 43, as well as the angle α, allows the push base 51 to flexibly rotate within a certain range when the angle needs to be adjusted, adapting to wall surfaces at different angles and facilitating all-around wall reinforcement. To disassemble the push base 51, simply remove the bolts and remove the block 52 from the slot 43, facilitating maintenance and component replacement.

[0069] One side of the push base 51 is equipped with multiple sets of mounting sleeves 53, within which first electric cylinders 54 are mounted. A connecting plate 308 is provided on one side of the support plate 301, connected to the shaft ends of the multiple sets of first electric cylinders 54. When the first electric cylinders 54 are in operation, they push the connecting plate 308 through telescopic motion, thereby moving the support plate 301. When the wall needs to be reinforced, the first electric cylinders 54 extend, pushing the support plate 301 toward the wall, allowing the storage capsules 302 on the support plate 301 to contact the wall surface for subsequent support and reinforcement operations. When reinforcement is complete or the position needs to be adjusted, the first electric cylinders 54 retract, causing the support plate 301 to retract.

[0070] like Figure 2 、 Figures 5 to 8 As shown, two sets of support frames 14 are provided on the base 11, and these two sets of support frames 14 serve as supporting and stabilizing devices. The first sleeve 41 and the second sleeve 13 are both located between the two sets of support frames 14. This layout enables the two sets of support frames 14 to effectively protect and support the first sleeve 41 and the second sleeve 13. Stabilizing racks 61 are provided on both sides of the first sleeve 41, and a rotatable stabilizing gear 62 is provided on the support frame 14. The stabilizing gear 62 and the stabilizing rack 61 are meshed with each other. When the first sleeve 41 is raised and lowered under the action of the electric lifting rod 23, the stabilizing rack 61 will move up and down accordingly. Since the stabilizing gear 62 is meshed with the stabilizing rack 61, the stabilizing gear 62 will rotate under the drive of the stabilizing rack 61. This meshing relationship makes the lifting movement of the first sleeve 41 more stable and smooth.

[0071] A rotating rod 63 is provided on one side of the stabilizing gear 62. The rotating rod 63 rotates synchronously with the stabilizing gear 62. A locking portion is provided at one end of the rotating rod 63. A locking sleeve 64 is mounted on the rotating rod 63 and located within the locking portion. Two sets of sliding grooves 65 are formed at each end of the locking sleeve 64. Two sets of positioning holes 66 are formed on the rotating rod 63 corresponding to the sliding grooves 65. A positioning bolt 67 is inserted into the positioning holes 66 and the two sets of sliding grooves 65 at one end of the locking sleeve 64. This structure allows the locking sleeve 64 to rotate around the positioning bolt 67 within a certain range. Specifically, the locking sleeve 64 can rotate within 50 degrees through the positioning bolt 67.

[0072] The locking sleeve 64 is provided with multiple groups of first latch teeth 68, which are arranged to form a gear structure. Assembly plates 15 are provided on both sides of the support frame 14, and the assembly plates 15 are used to install the second electric cylinder 16. The second electric cylinder 16 is installed on the assembly plate 15, and a locking plate 17 is provided on its shaft end. The locking plate 17 is arranged in an arc shape and is adapted to the outer contour of the locking sleeve 64. Multiple groups of second latch teeth 18 are provided on the inner side of the locking plate 17, and these second latch teeth 18 form a rack structure. When the second electric cylinder 16 is working, it will push the locking plate 17 toward the locking sleeve 64, so that the second latch teeth 18 are stuck between the two groups of first latch teeth 68, thereby locking the locking sleeve 64, thereby limiting the rotation of the stabilizing gear 62 and fixing the first sleeve 41 at the current height.

[0073] The tops of the first latching tooth 68 and the second latching tooth 18 are both provided with arcuate surfaces. When the first latching tooth 68 contacts the top surfaces of the second latching tooth 18, the arcuate surfaces cause the two to slide toward each other. At the same time, in conjunction with the rotation of the locking sleeve 64, the first latching tooth 68 and the second latching tooth 18 can mesh with each other. This structural design makes the meshing process between the latching teeth smoother, reduces friction and wear between the latching teeth, and also facilitates the engagement and disengagement of the latching teeth.

[0074] An oil reservoir 69 is defined within the stabilizing gear 62, and a liquid inlet 71 is defined on the stabilizing gear 62. Both ends of the liquid inlet 71 communicate with the oil reservoir 69 and the outside world. The liquid inlet 71 is tilted, forming an angle β with the axis of the stabilizing gear 62, with β ranging from 15° to 75°. Lubricating oil can be injected into the oil reservoir 69 through the liquid inlet 71. The tilted position of the liquid inlet 71 facilitates the injection of lubricating oil while preventing the lubricating oil from easily escaping through the liquid inlet 71.

[0075] The tooth surfaces of the stabilizing gear 62 are each provided with a limit groove 72, within which an oil-absorbing cotton pad 73 is positioned. Multiple oil delivery channels are provided within the stabilizing gear 62, through which the oil reservoir 69 connects to the limit grooves 72. Lubricating oil within the oil reservoir 69 flows through the oil delivery channels into the limit grooves 72 and is absorbed by the oil-absorbing cotton pad 73. The oil-absorbing cotton pad 73 protrudes from the tooth surfaces of the stabilizing gear 62 and contacts the tooth surfaces of the stabilizing rack 61. When the stabilizing gear 62 and the stabilizing rack 61 mesh and rotate, the oil-absorbing cotton pad 73 applies lubricating oil to the tooth surfaces of the stabilizing gear 62 and the stabilizing rack 61, providing lubrication and reducing friction and wear during meshing, thereby increasing the service life and operational stability of the device.

[0076] like Figure 2 、 Figure 4As shown, a first mounting groove 309 and multiple groups of second mounting grooves 310 are provided on the contact surface, which provide fixed positions for the installation of sensors. The main sensor 306 is mounted in the first mounting groove 309 and can be stably fixed on the contact surface to collect relevant data of the wall, such as the displacement change signal perpendicular to the wall surface, so as to reflect the overall settlement or expansion deformation of the wall. The strain sensor 307 is mounted in the second mounting groove 310, and the multiple groups of strain sensors 307 are arranged in a hexagon and located at the center of the hexagonal edge, and the main sensor 306 is located at the center of the hexagon. This layout enables the sensor to obtain strain information on the wall surface from multiple directions and positions.

[0077] Strain sensors 307 are electrically connected to adjacent strain sensors 307, forming a data transmission network that allows for the exchange of collected data. Two sets of strain sensors 307 and the main sensor 306 are electrically connected to the control module 22, transmitting the collected data to the control module 22. Upon receiving this data, the control module 22 analyzes and processes it to determine the state and extent of wall deformation, providing a basis for decision-making regarding subsequent reinforcement operations.

[0078] A silicone protective layer 311 is provided on one side of the support plate 301. The main sensor 306 and multiple sets of strain sensors 307 are located between the silicone protective layer 311 and the support plate 301, and indirectly contact the wall through the silicone protective layer 311. The silicone protective layer 311 has a certain degree of elasticity, which can act as a buffer when the device contacts the wall, preventing damage to the sensors due to direct impact with the wall. The silicone protective layer 311 also provides a certain degree of protection for the sensors, protecting them from external factors such as dust and moisture, ensuring long-term stable operation and continuously providing accurate monitoring data for the device.

[0079] The battery pack, comprised of multiple battery modules 24, provides power for the entire device. A battery box 19 is located on the base 11 within the main body cavity formed by the main housing 12. This box houses and secures the battery modules 24. Each battery module 24 is mounted within the box 19, with thermal insulation panels placed between adjacent modules. These thermal insulation panels block the heat generated by the battery modules 24 during operation, preventing heat accumulation within the battery pack. This prevents excessive temperatures from affecting battery performance and potentially causing safety issues, thereby ensuring stable operation of the battery pack.

[0080] A mounting bracket 25 is installed within the main body cavity, supporting and securing the device box 26. The device box 26 is mounted on the mounting bracket 25, and the control module 22 is installed within the device box 26. The device box 26 provides a protective space for the control module 22, reducing interference from external factors such as dust and moisture. This ensures that the control module 22 can operate safely and stably, accurately receiving and processing data from sensors, and thus controlling the operation of various components of the device.

[0081] A mounting frame is provided on the base 11, and the cross-section of the mounting frame is stepped, and the main housing 12 is clamped in the mounting frame. This structure makes the connection between the main housing 12 and the base 11 more stable and can withstand vibrations and external forces during the operation of the device. Multiple groups of water tanks are provided in the main housing 12, and the multiple groups of water tanks are interconnected and can store a certain amount of water. At the same time, multiple groups of heat dissipation fins are also provided in the main housing 12. When the internal components of the device generate heat during operation, the heat is transferred to the main housing 12. At this time, the water in the water tank absorbs heat through heat exchange, and the heat dissipation fins increase the contact area between the main housing 12 and the outside air, accelerating the speed at which heat is dissipated into the air, thereby reducing the internal temperature of the device, ensuring that components such as the battery pack and the control module 22 operate in a suitable temperature environment, and extending the service life of the device.

[0082] like Figure 4 、 Figure 11 、 Figure 12 The wall adaptive reinforcement method of a building repair reinforcement and protection device is applied to the above-mentioned building repair reinforcement and protection device, and includes the following steps:

[0083] S1: Acquire 3D deformation data, perform spatiotemporal fusion and noise filtering preprocessing on the 3D deformation data based on the tensor field dynamic reconstruction algorithm associated with hexagonal topology neighborhood, and generate a feature parameter group including stress tensor parameters, strain gradient parameters and deformation direction parameters;

[0084] Specifically, the algorithm constructs a hexagonal topology, connecting discrete sensor data points in space into a network with neighborhood relationships. In this network, each node represents a piece of sensor data, and its neighboring nodes are arranged in a hexagonal array. This structure more accurately reflects the anisotropic characteristics of physical space and, compared to traditional rectangular grids, offers greater precision in representing curved surfaces and irregular boundaries.

[0085] During the dynamic reconstruction of the tensor field, the algorithm first establishes a physical model based on the stress-strain relationship, converting the measured values ​​at each sensor node into a tensor form. Then, by solving the partial differential equations of the tensor field and incorporating constraints between neighboring nodes, a smooth reconstruction of the tensor field is achieved. A time dimension is introduced into this process, allowing the reconstruction results to reflect the dynamic evolution of the deformation.

[0086] Furthermore, the algorithm uses a weighted least squares method to solve the tensor field equations, with the weight coefficients dynamically adjusted based on sensor distance, measurement accuracy, and time correlation. In the temporal dimension, a Kalman filter algorithm is used to predict and update the tensor field, improving the system's responsiveness to rapidly changing deformations.

[0087] For example, when a wall undergoes local shear deformation, the hexagonal topology neighborhood association algorithm can accurately identify the boundaries and direction of the deformed area by analyzing the tensor differences between adjacent sensor nodes. Furthermore, combined with time series analysis, it can predict the development trend of the deformation, providing a basis for early warning.

[0088] At the same time, the 3D deformation data includes:

[0089] Normal displacement data: This data is generated by the contact surface of contact plate 305, perpendicular to the wall surface. This data is collected by main sensor 306 and used to characterize the overall settlement or expansion of the wall. Main sensor 306 utilizes a high-precision displacement sensor with a measurement accuracy of up to 0.01 mm, enabling real-time capture of minute vertical displacement changes. During data collection, the sensor converts the displacement signal into an electrical signal, which is then transmitted to control module 22 after analog-to-digital conversion.

[0090] Tangential displacement data: The displacement change signal parallel to the wall surface, generated by the relative sliding between the contact surface and the wall, is collected by multiple sets of strain sensors 307 and used to characterize the shear deformation or slip trend of the wall. The strain sensors 307 are distributed, with each sensor responsible for monitoring the tangential displacement of a specific area. The hexagonal array layout allows the sensors to cover the entire monitoring area and provide displacement information from multiple angles. After data collection, the relative displacement between adjacent sensors is calculated using a differential algorithm to obtain information on the shear deformation of the wall.

[0091] Angle change data: This is generated by the change in the contact surface's posture in three-dimensional space. This signal is calculated through collaborative data from the main sensor 306 and the strain sensor 307 and is used to characterize the wall's torsion or bending deformation. Both the main sensor 306 and the strain sensor 307 have built-in angle measurement units. By fusing angle data from multiple sensors and employing a complementary filtering algorithm to eliminate measurement errors, accurate angle change information is obtained. This information is crucial for determining whether the wall has experienced torsion or localized bending deformation.

[0092] The spatiotemporal fusion and noise filtering preprocessing includes the following steps:

[0093] S11: The three-dimensional deformation data is segmented using a sliding window algorithm to extract extreme points, mutation points, and periodic features of the time series, generating a time-domain parameter set containing the stress change rate and deformation frequency. The sliding window algorithm uses a fixed-length time window to slide across the data series, calculating the statistical characteristics of the data within the window with each slide. For extreme point detection, the algorithm determines the location of the extreme point by comparing the size relationship between the window center value and adjacent values. For mutation point detection, a threshold comparison method is used. When the rate of change of the data within the window exceeds the set threshold, it is determined to be a mutation point. Periodic feature extraction converts the time domain data into frequency domain data through Fourier transform, identifying the main frequency components and their amplitudes.

[0094] S12: Based on the geometric topology of the hexagonal array, the discrete sensor data is mapped into a continuous spatial field. The spatial gradient is calculated using the Laplace operator, generating a spatial domain parameter set containing the stress distribution morphology and strain gradient direction. This step first constructs a discrete Laplace operator for the hexagonal grid and interpolates the discrete sensor data onto the grid nodes using a weighted average. The Laplace operator is then used to calculate the second-order derivative of the spatial field to obtain curvature information of the stress distribution. By analyzing the direction of curvature, the principal direction of the strain gradient is determined. Kriging interpolation is used to address missing data points in this process to improve the accuracy of spatial field reconstruction.

[0095] S13: A wavelet transform algorithm with an adaptive threshold is used to decompose the time-domain and spatial-domain parameter groups, retaining low-frequency valid signals and filtering out high-frequency random noise to generate feature-enhanced preprocessed data. The wavelet transform algorithm uses the db4 wavelet basis function to perform a multi-layer decomposition of the data. The adaptive threshold is determined using the Birge-Massart strategy, dynamically adjusting the threshold based on the local characteristics of the signal. During the decomposition process, high-frequency coefficients correspond to noise components and are set to zero through thresholding. Low-frequency coefficients correspond to valid signals and are retained and reconstructed. The reconstructed signal retains the main features of the original data while effectively suppressing random noise interference, providing a high-quality data foundation for subsequent feature parameter extraction.

[0096] S2: Based on the spatial symmetry of the hexagonal array, a multi-scale tensor analysis of the characteristic parameter group is performed using a tensor decomposition algorithm to obtain the principal stress direction parameters and shear strain component parameters of the wall surface. A dynamic weight allocation model is constructed based on the topological neighborhood association rule to dynamically adjust the sensor weight coefficient according to the spatial position of the deformation area and the strain gradient parameter.

[0097] Specifically, this step is based on the characteristic parameter set generated in S1, which includes stress tensor parameters, strain gradient parameters, and deformation direction parameters. Because the data in the characteristic parameter set spatially corresponds to the information collected by sensors arranged in a hexagonal array, the rotational and mirror symmetries of the hexagonal array provide a structured analysis framework for the tensor decomposition algorithm. The tensor decomposition algorithm can decompose the high-dimensional characteristic parameter set into a combination of multiple low-dimensional tensors, thereby isolating stress and strain characteristics at different scales.

[0098] Furthermore, the tensor decomposition algorithm employs the Tucker decomposition method, which decomposes the original tensor into the product of a core tensor and multiple factor matrices. The core tensor preserves the intrinsic structure and interrelationships of the data, while the factor matrices correspond to basis vectors of different dimensions (such as spatial position and stress and strain type). This decomposition enables the extraction of tensor features at the macro, meso, and micro scales from a complex set of characteristic parameters. Furthermore, the topological neighborhood association rule establishes data association based on the connection between each sensor node and its six neighboring nodes in the hexagonal array, which is used for subsequent parameter calculation and weight allocation.

[0099] For example, when stress concentration occurs locally on a wall, the stress tensor parameters in the corresponding region of the characteristic parameter group will show abnormal values. The tensor decomposition algorithm, through Tucker decomposition, can locate specific sensor nodes and their neighborhoods at the microscale, identify the extent of the stress concentration area at the mesoscale, and grasp the stress distribution trend of the entire wall at the macroscale.

[0100] A more detailed multiscale tensor analysis includes the following steps:

[0101] S21: Decompose the characteristic parameter group into three scales: macroscopic, mesoscopic, and microscopic. Based on the spatial symmetry of the hexagonal array, map the decomposed parameters into a geometric coordinate system to form a tensor field distribution.

[0102] At the macroscale, the entire wall is analyzed, aggregating characteristic parameter groups into a tensor reflecting overall deformation trends. At the mesoscale, the wall is divided into multiple hexagonal grid regions, each corresponding to a set of parameters for analyzing local deformation characteristics. At the microscale, the focus is on a single sensor node and its neighborhood to capture subtle deformation changes. During the geometric coordinate mapping process, the center of the hexagon is used as the coordinate origin, and the relationship between the hexagon's side length and internal angle is utilized to accurately map each parameter to its corresponding spatial position. This ultimately forms a continuous tensor field distribution, visually displaying the stress and strain state of the wall.

[0103] S22: By analyzing the geometric characteristics of the tensor field, the stress concentration areas, the inflection points of the stress gradient change, and the stress distribution morphology are identified; based on the topological neighborhood association rules, the principal stress direction parameters of each area are calculated to obtain the principal stress direction parameters of the wall surface;

[0104] In the tensor field, stress concentration areas appear as areas where the tensor value is significantly higher than that of the neighborhood, and can be preliminarily identified by setting a threshold. The inflection point of the stress gradient change is determined by calculating the first-order derivative of the tensor field and finding the position where the derivative change rate is the largest. The stress distribution morphology can be visually observed by visualizing the contour lines or streamlines of the tensor field. Based on the topological neighborhood association rule, for each area, the stress tensor information of its six neighboring nodes is considered, and the weighted average method is used to calculate the principal stress direction. The weight is determined according to the distance between the nodes and the strain gradient difference. The closer the distance and the smaller the strain gradient difference, the higher the weight of the node, so that the principal stress direction parameters of each area can be accurately calculated, and then the principal stress direction parameters of the entire wall surface can be obtained.

[0105] S23: Analyze the shear characteristics of the tensor field, identify the shear strain concentration zone, strain gradient direction, and strain distribution curvature; calculate the shear strain component parameters of each region based on the topological neighborhood association rules, and obtain the shear strain component parameters of the wall surface.

[0106] The shear characteristics of the tensor field are reflected by analyzing the off-diagonal elements of the strain tensor. The shear strain concentration zone is manifested as an area with large and continuous off-diagonal element values. The strain gradient direction is determined by calculating the gradient vector of the shear strain tensor, and the direction of this vector is the strain gradient direction. The strain distribution curvature is obtained by calculating the rate of change of the gradient vector. Also based on the topological neighborhood association rule, combined with the shear strain information of each region and its neighboring nodes, a weighted method similar to the calculation of the principal stress direction is used to calculate the shear strain component parameters of each region. Through calculations in all regions, the shear strain component parameters of the entire wall surface are finally obtained, providing key data support for subsequent reinforcement decisions.

[0107] Based on the parameters derived from the multiscale tensor analysis, a dynamic weight allocation model was constructed. This model takes the spatial location of the deformed region and the strain gradient parameter as input. When the strain gradient in a region is large, indicating that the deformation is more severe, the weight coefficient of the corresponding sensor is increased, causing the control module to pay more attention to the data in this area when making decisions. Conversely, for regions with smaller strain gradients, the sensor weight coefficient is reduced. By dynamically adjusting the sensor weight coefficient, the device's response accuracy to wall deformation and the reinforcement effect are improved.

[0108] S3: Based on the preset thresholds of the principal stress direction parameters and the shear strain component parameters, when the characteristic parameter group exceeds the preset thresholds, the gradient magnetic field control algorithm is used to perform a partitioned viscosity control operation on the magnetorheological fluid.

[0109] Specifically, this step pre-defines corresponding safety thresholds in the control module 22 based on the principal stress direction parameters and shear strain component parameters obtained in S2. These thresholds are determined based on the mechanical properties of building materials, wall design standards, and engineering experience, and correspond to safety critical values ​​for the principal stress direction parameters and shear strain component parameters, respectively. If, after analyzing the stress tensor parameters, strain gradient parameters, and other data within the characteristic parameter group generated in S1, the principal stress direction parameter or the shear strain component parameter exceeds the preset threshold, it indicates that the corresponding area of ​​the wall is at high risk of damage and requires reinforcement intervention.

[0110] Furthermore, the core of the gradient magnetic field control algorithm lies in precisely controlling the strength and direction of the magnetic field generated by the electromagnetic coils 304 based on the stress and strain states of different regions, thereby adjusting the viscosity of the magnetorheological fluid within the storage capsule 302. The algorithm first divides the wall surface into grid regions corresponding to the layout of the storage capsule 302, with each region corresponding to a set of electromagnetic coils 304. For each grid region, the algorithm determines the direction of the magnetic field based on the principal stress direction parameters of that region, ensuring that the magnetic field direction forms a specific angle with the principal stress direction (usually 90° to maximize the curing effect of the magnetorheological fluid). The magnetic field strength is also determined based on the magnitude of the shear strain component parameter. The larger the shear strain component parameter, the greater the corresponding current in the electromagnetic coils 304, and the stronger the magnetic field strength generated.

[0111] The algorithm uses a PID (proportional-integral-differential) control strategy to dynamically adjust the magnetic field strength. The proportional phase responds quickly based on the deviation between the current parameter and the threshold, outputting the initial magnetic field strength adjustment. The integral phase accumulates historical deviations to eliminate steady-state errors, ensuring that the magnetic field strength ultimately stabilizes at the target value. The differential phase predicts the trend based on the rate of change of the deviation and adjusts the magnetic field strength in advance to avoid overshoot during the adjustment process. Furthermore, considering the correlation between stress and strain in adjacent grid regions, the algorithm introduces a neighborhood coupling coefficient to smooth the transition of magnetic field strength between adjacent regions, preventing uneven curing of the magnetorheological fluid due to sudden changes in magnetic field strength.

[0112] For example, when the principal stress direction in a certain area of ​​the wall is detected to be horizontal and to the right, and the shear strain component parameter exceeds a preset threshold of 120%, the control module 22 triggers the gradient magnetic field control algorithm. The algorithm first determines that the magnetic field direction of the electromagnetic coil 304 corresponding to that area is vertical. Then, based on the PID control strategy, it calculates that the current of that electromagnetic coil 304 needs to be increased to 1.5 times the rated current to generate a high-intensity magnetic field. Simultaneously, the algorithm appropriately adjusts the current of adjacent electromagnetic coils 304 in that area based on the neighborhood coupling coefficient (for example, increasing it to 1.2 times the rated current), thereby achieving a gradual transition in the viscosity of the magnetorheological fluid in adjacent areas. Under the influence of the magnetic field, the magnetorheological fluid in the storage capsule 302 in the corresponding area rapidly transforms from a liquid to a semi-solid state, providing additional support to the wall and offsetting excessive stress and strain.

[0113] Through the partitioned viscosity control operation of the gradient magnetic field control algorithm, the device can achieve precise reinforcement of high-risk areas of the wall, dynamically adjust the mechanical properties of the magnetorheological fluid according to the actual stress state, and avoid excessive reinforcement of the entire wall while ensuring the reinforcement effect, thereby improving material utilization efficiency and reinforcement economy.

[0114] The basic principles, main features and advantages of the present invention are shown and described above. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments.

Claims

1. A reinforcement and protection device for building repair, comprising a base (11), a pushing portion, and a driving component (21) for moving the device, characterized in that: The base (11) is provided with a lifting assembly for adjusting the height of the pushing portion, the pushing portion is mounted on the top of the lifting assembly, the driving component (21) is mounted on the bottom of the base (11), and a support member is provided above the base (11) and is located on one side of the pushing portion; The support member includes a support plate (301) and a plurality of storage capsules (302) storing magnetorheological fluid. The support plate (301) is connected to one side of the pushing portion. A plurality of placement grooves (303) are provided on one side of the support plate (301). A grid is formed by the plurality of placement grooves (303). The storage capsules (302) are clamped in the placement grooves (303), and an electromagnetic coil (304) is wound around the storage capsules (302). A contact plate (305) is provided on one side of the storage capsule (302), one side of the contact plate (305) is provided as a contact surface, the contact plate (305) contacts the wall via the contact surface, and a main sensor (306) and multiple groups of strain sensors (307) are provided on the contact surface; A main body shell (12) is provided on the base (11), the main body shell forms a main body cavity, and a battery pack and a control module (22) are installed in the main body cavity.

2. A reinforcement and protection device for building repair according to claim 1, characterized in that: The lifting assembly includes a first sleeve (41) and an electric lifting rod (23); a second sleeve (13) is provided on the base (11); the first sleeve (41) is inserted into the second sleeve (13) and is slidably connected with the second sleeve (13) to form a lifting cavity; The electric lifting rod (23) is located in the lifting chamber, the bottom of the electric lifting rod (23) is connected to the second sleeve (13), and the top is connected to the first sleeve (41); The pushing portion includes a pushing base (51), a mounting seat (42) is provided on one side of the first sleeve (41), a plurality of blocks (52) are provided on one side of the pushing base (51), the blocks (52) are arranged in a triangular shape, an angle α is set between the inclined surface of the blocks (52) and the side surface of the pushing base (51), α∈(10°, 30°), the mounting seat (42) is provided with a plurality of slots (43) corresponding to the blocks (52), the blocks (52) are clamped in the slots (43), and the pushing base (51) is connected to the mounting seat (42) by a plurality of bolts; A plurality of mounting sleeves (53) are provided on one side of the pushing base (51), a first electric cylinder (54) is installed in the mounting sleeve (53), and a connecting plate (308) is provided on one side of the support plate (301), the connecting plate (308) being connected to the shaft ends of the plurality of first electric cylinders (54).

3. A reinforcement and protection device for building repair according to claim 2, characterized in that: Two groups of support frames (14) are provided on the base (11), the first sleeve (41) and the second sleeve (13) are located between the two groups of support frames (14), both sides of the first sleeve (41) are provided with stable racks (61), and a rotating stable gear (62) is provided on the support frame (14), and the stable gear (62) is engaged with the stable rack (61); A rotating rod (63) is provided on one side of the stabilizing gear (62), and a locking portion is provided at one end of the rotating rod (63). A locking sleeve (64) is sleeved on the rotating rod (63) and located in the locking portion. Two groups of sliding grooves (65) are provided at both ends of the locking sleeve (64). Two groups of positioning holes (66) are provided on the rotating rod (63) corresponding to the sliding grooves (65). A positioning bolt (67) is inserted into the two groups of sliding grooves (65) at one end of the positioning hole (66) and the locking sleeve (64). The locking sleeve (64) can be rotated within 50 degrees through the positioning bolt (67).

4. A reinforcement and protection device for building repair according to claim 3, characterized in that: The locking sleeve (64) is provided with a plurality of groups of first latch teeth (68) to form a gear structure, and both sides of the support frame (14) are provided with assembly plates (15), the second electric cylinder (16) is mounted on the assembly plates (15), and the shaft end of the second electric cylinder (16) is provided with a locking plate (17), the locking plate (17) is arranged in an arc shape, and a plurality of groups of second latch teeth (18) are provided on the inner side of the locking plate (17) to form a rack structure, and the second latch teeth (18) are clamped between two groups of the first latch teeth (68); The tops of the first latching tooth (68) and the second latching tooth (18) are both provided with arc surfaces; An oil storage chamber (69) is provided in the stable gear (62), and a liquid inlet (71) is provided on the stable gear (62). Both ends of the liquid inlet (71) are connected to the oil storage chamber (69) and the outside respectively. The liquid inlet (71) is inclined and forms an angle β with the axial direction of the stable gear (62), β∈(15°, 75°); The tooth surface of the stable gear (62) is provided with a limiting groove (72), and an oil-absorbing cotton (73) is provided in the limiting groove (72). The stable gear (62) is provided with a plurality of oil delivery channels, and the oil storage cavity (69) is connected to the limiting groove (72) through the oil delivery channels. The oil-absorbing cotton (73) protrudes from the tooth surface of the stabilizing gear (62) and contacts the tooth surface of the stabilizing rack (61).

5. The reinforcement and protection device for building repair according to claim 1, characterized in that: The contact surface is provided with a first mounting groove (309) and a plurality of second mounting grooves (310); the main sensor (306) is mounted in the first mounting groove (309); the strain sensor (307) is mounted in the second mounting groove (310); the plurality of strain sensors (307) are arranged in a hexagon and are located at the center of the hexagonal edge; the main sensor (306) is located at the center of the hexagon; the strain sensor (307) is electrically connected to adjacent strain sensors (307); and two groups of strain sensors (307) and the main sensor (306) are electrically connected to the control module (22); A silicone protective layer (311) is provided on one side of the support plate (301), and the main sensor (306) and the plurality of strain sensors (307) are located between the silicone protective layer (311) and the support plate (301), and are in indirect contact with the wall through the silicone protective layer (311).

6. The reinforcement and protection device for building repair according to claim 1, characterized in that: The battery pack includes a plurality of battery modules (24), a battery box (19) is provided on the base (11), the battery box (19) is located in the main body cavity, the battery modules (24) are installed in the battery box (19), and a heat insulation plate is provided between the battery modules (24) and adjacent battery modules (24); A mounting bracket (25) is provided in the main body cavity, an equipment box (26) is provided on the mounting bracket (25), and the control module (22) is installed in the equipment box (26); A mounting frame is provided on the base (11), and the cross section of the mounting frame is stepped. The main body shell (12) is clamped in the mounting frame. A plurality of water storage tanks are provided in the main body shell (12), and the plurality of water storage tanks are connected to each other. A plurality of heat dissipation fins are provided in the main body shell (12).

7. A method for adaptively reinforcing a wall of a reinforcement and protection device for building repair, applied to a reinforcement and protection device for building repair according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1: Acquire 3D deformation data, perform spatiotemporal fusion and noise filtering preprocessing on the 3D deformation data based on the tensor field dynamic reconstruction algorithm associated with hexagonal topology neighborhood, and generate a feature parameter group including stress tensor parameters, strain gradient parameters and deformation direction parameters; S2: Based on the spatial symmetry of the hexagonal array, a multi-scale tensor analysis of the characteristic parameter group is performed using a tensor decomposition algorithm to obtain the principal stress direction parameters and shear strain component parameters of the wall surface. A dynamic weight allocation model is constructed based on the topological neighborhood association rule to dynamically adjust the sensor weight coefficient according to the spatial position of the deformation area and the strain gradient parameter. S3: Based on the preset thresholds of the principal stress direction parameters and the shear strain component parameters, when the characteristic parameter group exceeds the preset thresholds, the gradient magnetic field control algorithm is used to perform a partitioned viscosity control operation on the magnetorheological fluid.

8. The wall adaptive reinforcement method of a reinforcement and protection device for building repair according to claim 7, characterized in that: The spatiotemporal fusion and noise filtering preprocessing includes the following steps: S11: Segment the 3D deformation data using a sliding window algorithm to extract the extreme points, mutation points, and periodic features of the time series, generating a time domain parameter set containing stress change rate and deformation frequency; S12: Based on the geometric topology of the hexagonal array, the discrete sensor data is mapped into a continuous spatial field. The spatial gradient is calculated using the Laplace operator to generate a spatial domain parameter set containing the stress distribution morphology and strain gradient direction. S13: Adopting the wavelet transform algorithm with adaptive threshold, the time domain parameter group and the space domain parameter group are decomposed, the low-frequency effective signal is retained, the high-frequency random noise is filtered out, and the preprocessed data with enhanced features is generated.

9. The wall adaptive reinforcement method of a reinforcement and protection device for building repair according to claim 7, characterized in that: Multiscale tensor analysis includes the following steps: S21: Decompose the characteristic parameter group into three scales: macroscopic, mesoscopic, and microscopic. Based on the spatial symmetry of the hexagonal array, map the decomposed parameters into a geometric coordinate system to form a tensor field distribution. S22: By analyzing the geometric characteristics of the tensor field, the stress concentration areas, the inflection points of the stress gradient change, and the stress distribution morphology are identified; based on the topological neighborhood association rules, the principal stress direction parameters of each area are calculated to obtain the principal stress direction parameters of the wall surface; S23: Analyze the shear characteristics of the tensor field, identify the shear strain concentration zone, strain gradient direction, and strain distribution curvature; calculate the shear strain component parameters of each region based on the topological neighborhood association rules, and obtain the shear strain component parameters of the wall surface.

10. The wall adaptive reinforcement method of a reinforcement and protection device for building repair according to claim 7, characterized in that: The S1 also includes: 3D deformation data includes: Normal displacement data: a displacement change signal perpendicular to the wall surface generated by the contact surface of the contact plate (305) contacting the wall, collected by the main sensor (306), and used to characterize the overall settlement or expansion deformation of the wall; Tangential displacement data: displacement change signals parallel to the wall surface generated by the relative sliding between the contact surface and the wall, collected by multiple sets of strain sensors (307), used to characterize the shear deformation or sliding trend of the wall; Angle change data: An inclination change signal generated by the change in the posture of the contact surface in three-dimensional space is obtained through collaborative data calculation of the main sensor (306) and the strain sensor (307) and is used to characterize the torsion or bending deformation of the wall.

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