Energy-saving fabricated building module forming device

Abstract

The invention is suitable for the field of machine tools, and provides an energy-saving fabricated building module forming device which comprises a workbench, a plurality of electric push rods are distributed on the workbench in a rectangular mode, the electric push rods are fixedly connected with formworks through bolts, and all the formworks are jointly spliced into a pouring cavity used for concrete pouring forming. A plurality of positioning holes are formed in the templates, and a clamping assembly is arranged on each template; the workbench is fixedly connected with a supporting frame, the supporting frame is fixedly connected with an electric lifting rod, and the telescopic end of the electric lifting rod is fixedly connected with a vibrating mechanism. The problems of formwork deformation and steel bar deviation caused by lack of multi-factor comprehensive evaluation of a traditional device are effectively solved. By dynamically adjusting the clamping force, the structure of the formwork can be kept stable under the impact of high-flow-state concrete, and steel bar damage caused by excessive clamping can be avoided under the low-disturbance working condition.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of machine tools, and particularly relates to an energy-saving fabricated building module forming device. BACKGROUND

[0002] At present, a common building module forming device usually comprises a workbench, a formwork, a vibrating mechanism and the like basic components. The formwork is fixed by a mechanical or hydraulic way to form a pouring cavity by splicing; and the vibrating mechanism is used for vibrating the poured concrete to remove internal air bubbles and ensure the compactness. However, in the actual production process, the traditional device has obvious systematic defects:

[0003] In the concrete pouring stage, the high fluidity of the fresh concrete can generate a significant hydrostatic pressure, which linearly increases with the increase of the pouring height. Meanwhile, the mechanical vibration generated by the vibrating mechanism can be transmitted to the formwork system through the concrete medium to form a complex dynamic load. The coupling of the two forces can easily cause stress concentration at the formwork joint, and even cause elastic deformation or plastic deformation of the formwork. Especially when the formwork is used for many times, the wear of the connecting part can significantly reduce the overall stiffness and further aggravate the deformation risk.

[0004] The positioning stability of the steel reinforcement framework is also prominent. In the concrete pouring and vibrating process, the steel reinforcement framework simultaneously bears the combined action of fluid impact force, vibrating disturbance force and buoyancy. The traditional mechanical fixing method often uses a constant clamping force, which cannot be dynamically adjusted according to the real-time working condition. When the clamping force is insufficient, the steel reinforcement is prone to displacement, resulting in an unqualified protection layer thickness; and excessive clamping can cause damage to the surface of the steel reinforcement, affecting the bonding performance of the steel reinforcement and the concrete.

[0005] The existing technical solutions mostly adopt isolated improvement ideas: either simply enhancing the mechanical strength of the formwork, or only optimizing the vibrating parameters, lacking overall consideration of the complex system of "formwork-steel reinforcement-concrete-vibration".

[0006] In view of the above problems, the existing technology needs to be improved. SUMMARY

[0007] The purpose of the embodiment of the application is to provide an energy-saving fabricated building module forming device, which aims to solve the problem that the existing technical solutions mostly adopt isolated improvement ideas, lacking overall consideration of the complex system of "formwork-steel reinforcement-concrete-vibration".

[0008] The application is achieved, an energy-saving fabricated building module forming device, the workbench, a plurality of electric push rods are distributed in the workbench in a rectangular shape, the electric push rods are all fixedly connected with a formwork through bolts, all the formworks are jointly spliced into a pouring cavity for concrete pouring and forming, a plurality of positioning holes are arranged on the formwork, a clamping assembly is arranged on each formwork, the clamping assembly can simultaneously fix the positioning steel bars inserted into the positioning holes, so as to fix the steel bar framework in the pouring cavity; the workbench is fixedly connected with a support frame, the support frame is fixedly connected with an electric lifting rod, the telescopic end of the electric lifting rod is fixedly connected with a vibrating mechanism, the vibrating mechanism comprises a plurality of vibrating machines for vibrating the concrete in the pouring cavity;

[0009] The intelligent anti-deformation control system can comprehensively evaluate the building state of the formwork and the steel bar framework, the working state of the vibrating machine and the flow state of the concrete, and adjust the clamping force of the clamping assembly according to the evaluation result.

[0010] Further technical solutions, the clamping assembly comprises a sliding plate, a clamp, a motor and a driving wheel;

[0011] The upper and lower sides of the positioning hole are both provided with a sliding plate, the sliding plates are both horizontally and slidingly connected with the side wall of the formwork, the sliding plates are both fixedly connected with a clamp, the clamping surface of the clamp is opposite to the positioning hole on one side thereof, the formwork is fixedly connected with a motor through a fixing frame, the output shaft of the motor is fixedly connected with a driving wheel, and the driving wheel is engaged with the sliding plates on both sides.

[0012] Further technical solutions, the vibrating mechanism further comprises a connecting seat, two sliding seats A are slidingly connected in the connecting seat, the connecting seat is connected with a driving piece A for driving the two sliding seats A to move simultaneously, two sliding seats B are slidingly connected in the sliding seat A, the sliding seat A is connected with a driving piece B for driving the two sliding seats B to move, the movement direction of the sliding seat B is perpendicular to the movement direction of the sliding seat A, and the sliding seat B is fixedly connected with a vibrating machine.

[0013] Further technical solutions, the intelligent anti-deformation control system comprises:

[0014] The pouring cavity reliability evaluation module: a pouring cavity reliability index model is constructed according to the stress of the connecting surface of adjacent formworks, the use frequency of the formwork and the flatness of the inner surface of the formwork, and a pouring cavity reliability index is output;

[0015] The framework stability evaluation module: a framework stability index model is constructed according to the cross-sectional reinforcement ratio of the steel bar framework in the pouring cavity and the overall rigidity of the steel bar framework, and a framework stability index is output;

[0016] The concrete fluid dynamic evaluation module: constructs a concrete flow state influence index model according to the concrete slump, the concrete unit weight and the concrete pouring speed, and outputs the concrete flow state influence index;

[0017] The vibration disturbance evaluation module: constructs a vibration disturbance index model according to the distribution density of all the vibrators, the vibration frequency of a single vibrator and the vibration amplitude, and outputs the vibration disturbance index;

[0018] The comprehensive deformation risk evaluation module: constructs a comprehensive deformation risk evaluation model according to the skeleton stability index and the concrete flow state influence index on the basis of the pouring cavity reliability index and the vibration disturbance index, and outputs a comprehensive deformation risk evaluation coefficient;

[0019] The clamping force control module: constructs a clamping force control model according to the preset clamping force of the clamping assembly and the comprehensive deformation risk evaluation coefficient, and outputs a target clamping force, and the clamping force control module is electrically connected with the PLC controller and the clamping assembly in sequence.

[0020] Further technical solutions: the stress of the connecting surface of the adjacent formwork, the use frequency of the formwork and the flatness of the inner surface of the formwork are normalized by using the maximum-minimum normalization method respectively, and the connecting surface stress index, the use frequency index and the surface flatness index are generated respectively; the pouring cavity reliability index model is:

[0021] ;

[0022] Wherein represents the connecting surface stress influence coefficient, represents the use frequency influence coefficient, represents the surface flatness influence coefficient, , , and are greater than , represents the connecting surface stress index, the use frequency index, the surface flatness index, the pouring cavity reliability index.

[0023] Further technical solutions: the overall stiffness of the steel reinforcement skeleton is normalized by using the maximum-minimum normalization method, and an overall stiffness index is generated; the skeleton stability index model is:

[0024] ;

[0025] Wherein represents the cross-section reinforcement ratio influence coefficient, represents the overall stiffness influence coefficient, , , are all greater than , represents the cross-section reinforcement ratio, represents the overall stiffness index, represents the skeleton stability index.

[0026] Further technical solutions, the concrete slump, concrete unit weight and concrete pouring speed are normalized by using the maximum-minimum normalization method respectively, and slump index, unit weight index and pouring speed index are generated respectively; the concrete flow state influence index model is:

[0027] .

[0028] Among them represents the slump index, represents the unit weight index, represents the pouring speed index, represents the concrete flow state influence index.

[0029] Further technical solutions, the distribution density of all vibrators, the vibration frequency of a single vibrator and the vibration amplitude are normalized by using the maximum-minimum normalization method respectively, and distribution density index, vibration frequency index and amplitude index are generated respectively; the vibrator disturbance index model is:

[0030] ;

[0031] Among them represents the density index, represents the vibration frequency index, is the amplitude index, represents the vibrator disturbance index.

[0032] Further technical solutions, the comprehensive deformation risk assessment model is:

[0033] .

[0034] Among them represents the risk scaling coefficient, is greater than , represents the concrete flow state influence index, represents the vibrator disturbance index, is the pouring cavity reliability index, represents the skeleton stability index, represents the comprehensive deformation risk assessment coefficient.

[0035] Further technical solutions, the clamping force control model is:

[0036] ;

[0037] wherein represents a preset clamping force, represents a maximum allowable safe clamping force, determined by mechanical design or steel strength, represents a control gain coefficient, the value range is , represents a comprehensive deformation risk assessment coefficient, represents a target clamping force.

[0038] Compared with the prior art, the beneficial effects of the present application are:

[0039] The present application effectively solves the problems of template deformation and steel bar deviation caused by the lack of multi-factor comprehensive evaluation in traditional devices. By dynamically adjusting the clamping force, both the stability of the template structure under high fluid concrete impact and the avoidance of steel damage caused by excessive clamping under low disturbance working conditions can be achieved. At the same time, the system can automatically compensate for the wear and tear error of the template caused by repeated use, ensuring the consistency of the forming precision under different working conditions. For the vibration disturbance caused by the vibrating operation, the system forms a dynamic damping effect by adjusting the clamping force in real time, significantly inhibiting the vibration displacement of the steel skeleton.

[0040] The present application can accurately quantify the mechanical disturbance intensity generated by the combined action of equipment distribution, vibration energy and impact strength during the vibrating operation process, establish a quantifiable evaluation index, and provide data support for subsequent dynamic adjustment of clamping force. When the vibrating disturbance index is detected to exceed the threshold value, the clamping force can be increased in time to offset the steel displacement caused by vibration, while avoiding excessive clamping under low risk working conditions, which causes energy waste or structural damage.

[0041] The present application can real-time evaluate the dynamic balance state between fluid impact, mechanical vibration and structural resistance during the concrete pouring process. When the fluid disturbance is detected to be enhanced or the structural resistance is detected to be decreased, the clamping force is automatically increased to offset the deformation risk; when the system is in a stable state, a lower clamping force is maintained to reduce energy consumption. This dynamic adjustment mechanism not only avoids the steel damage or positioning failure caused by traditional fixed clamping force, but also solves the problem of response lag of linear evaluation model to critical state in the prior art, effectively guaranteeing the forming precision of the building module.

[0042] The application solves the problem that the preset constant value of the traditional clamping force cannot be dynamically adjusted according to the real-time working condition. In the concrete pouring process, when the template stress is abnormal, the reinforcement framework displacement or the vibration disturbance is enhanced, the clamping force is automatically increased to inhibit the deformation risk; when the system stability is restored, the clamping force is reduced to reduce the mechanical loss. By dynamically balancing the clamping force and the deformation risk, the reinforcement deviation or the template deformation caused by insufficient clamping force is avoided, and the mechanical structure damage or the reinforcement plastic deformation caused by excessive clamping force is prevented, so that the size precision and the structural safety of the forming module are ensured. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 It is a structural schematic diagram of the application;

[0044] Figure 2 It is a structural schematic diagram of the vibrating mechanism;

[0045] Figure 3 It is a splicing structure schematic diagram of the template in the application;

[0046] Figure 4 It is a structural schematic diagram of the clamping assembly;

[0047] Figure 5 It is a working principle diagram of the intelligent anti-deformation control system.

[0048] In the drawings: 1, workbench; 2, electric push rod; 3, template; 4, positioning hole; 5, clamping assembly; 51, sliding plate; 52, clamp; 53, motor; 54, driving wheel; 6, support frame; 7, electric lifting rod; 8, vibrating mechanism; 81, connecting seat; 82, sliding seat A; 83, driving piece A; 84, sliding seat B; 85, driving piece B; 86, vibrator. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical scheme and advantages of the application clearer, the application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the application and do not limit the application.

[0050] The specific implementation of the application is described in detail below in combination with specific examples.

[0051] As Figures 1-4As shown, it is an energy-saving assembly type building module forming device provided by an embodiment of the application, the workbench 1, a plurality of electric push rods 2 are distributed in a rectangular shape on the workbench 1, the electric push rod 2 is fixedly connected with a formwork 3 through a bolt, all the formworks 3 are jointly spliced into a pouring cavity for concrete pouring and forming, a plurality of positioning holes 4 are arranged on the formwork 3, a clamping assembly 5 is arranged on each formwork 3, the clamping assembly 5 can simultaneously fix the positioning steel bars inserted into the positioning holes 4, so as to fix the steel bar framework in the pouring cavity; the workbench 1 is fixedly connected with a support frame 6, the support frame 6 is fixedly connected with an electric lifting rod 7, the telescopic end of the electric lifting rod 7 is fixedly connected with a vibrating mechanism 8, the vibrating mechanism 8 includes a plurality of vibrating machines 86 for vibrating the concrete in the pouring cavity;

[0052] The intelligent anti-deformation control system can comprehensively evaluate the building state of the formwork 3 and the steel bar framework, the working state of the vibrating machine 86 and the flow state of the concrete, and adjust the clamping force of the clamping assembly 5 according to the evaluation result.

[0053] In this embodiment, the workbench 1 drives the formwork 3 to move through the electric push rods 2 distributed in a rectangular shape, forming a pouring cavity enclosed on all sides. The positioning holes 4 are evenly arranged along the length direction of the formwork 3, after the positioning steel bars of the steel bar framework are inserted, the clamping assembly 5 realizes multi-point fixing through synchronous clamping action. The electric lifting rod 7 on the support frame 6 drives the vibrating mechanism 8 to move vertically, so that the vibrating machine 86 covers different pouring depths. The intelligent anti-deformation control system can comprehensively evaluate the building state of the formwork 3 and the steel bar framework, the working state of the vibrating machine 86 and the flow state of the concrete, and generate a clamping force adjustment signal according to the evaluation result and send it to the motor 53 controller of the clamping assembly 5, to dynamically adjust the clamping force of the clamp 52 on the positioning steel bars.

[0054] This scheme realizes the matching adjustment of the clamping force and the real-time working condition through the integration of multi-source sensing and intelligent evaluation model. For example, when the flow state of the concrete is large at the initial stage of pouring, the system automatically enhances the clamping force to resist the fluid impact; when high-frequency vibration is detected during the vibrating stage, the clamping force is dynamically compensated to prevent the steel bars from deviating. This closed-loop control mechanism solves the over-constraint or under-constraint problem caused by the traditional constant clamping force.

[0055] As shown in the figure, Figure 4 As a preferred embodiment of the application, the clamping assembly 5 includes a sliding plate 51, a clamp 52, a motor 53 and a driving wheel 54;

[0056] The upper and lower sides of the positioning hole 4 are provided with sliding plates 51, the sliding plates 51 are horizontally and slidingly connected with the side walls of the template 3, the sliding plates 51 are fixedly connected with clamps 52, the clamping surfaces of the clamps 52 are opposite to the positioning holes 4 on one side, the template 3 is fixedly connected with motors 53 through fixing frames, the output shafts of the motors 53 are fixedly connected with driving wheels 54, and the driving wheels 54 are engaged with the sliding plates 51 on both sides.

[0057] In this embodiment, when the motor 53 is started, the driving wheel 54 drives the upper and lower sliding plates 51 to move towards or away from each other through gear engagement, so that the clamps 52 move horizontally along the side walls of the template 3. The sliding direction of the sliding plate 51 is perpendicular to the axis of the positioning hole 4, and the clamping surface of the clamp 52 is always aligned with the reinforcing steel bar in the positioning hole 4. During the movement towards each other, the upper and lower clamps 52 simultaneously contact the surface of the reinforcing steel bar, forming a symmetrical clamping force. The gear engagement transmission ensures that the displacement amounts of the upper and lower sliding plates 51 are consistent, avoiding that the unilateral clamping force is too large to cause the reinforcing steel bar to tilt. During clamping, the servo motor 53 adjusts the rotation angle of the driving wheel 54 according to the control signal, so as to accurately control the distance between the clamps 52 and adapt to the fixing requirements of reinforcing steel bars with different diameters.

[0058] The present scheme realizes the linkage of the bilateral sliding plates 51 through gear engagement, and only a single motor 53 is needed to synchronously control the upper and lower clamps 52, thereby simplifying the driving system. In the prior art, the clamping direction of the clamp 52 is mostly inclined or longitudinal, which is easy to cause the reinforcing steel bar to be forced to deviate, while the present scheme makes the clamping force of the horizontally sliding clamp 52 act vertically on the axis of the reinforcing steel bar, thereby significantly improving the fixing effect.

[0059] As shown in Figure 2 As a preferred embodiment of the present application, the vibrating mechanism 8 further comprises a connecting seat 81, two sliding seats A 82 are slidingly connected in the connecting seat 81, the connecting seat 81 is connected with a driving member A 83 for driving the two sliding seats A 82 to move simultaneously and oppositely, two sliding seats B 84 are slidingly connected in the sliding seat A 82, the sliding seat A 82 is connected with a driving member B 85 for driving the two sliding seats B 84 to move oppositely, the movement direction of the sliding seat B 84 is perpendicular to the movement direction of the sliding seat A 82, and the sliding seat B 84 is fixedly connected with a vibrator 86.

[0060] In this embodiment, the connecting seat 81 serves as a basic support structure, and the two sliding seats A82 are controlled by the driving member A83 to move synchronously towards or away from each other in the horizontal direction, forming a vibrator 86 layout with adjustable lateral spacing. The sliding seat B84 nested in each sliding seat A82 is adjusted in the longitudinal position under the action of the driving member B85 in a direction perpendicular to the sliding seat A82. The combination of orthogonal motions enables the vibrator 86 to form a dynamic distribution of a rectangular grid in the horizontal plane, and the distribution density of the vibrator 86 in the lateral and longitudinal directions can be changed by adjusting the movement distance of the sliding seat A82 and the sliding seat B84. When the size of the pouring cavity changes, the driving member A83 drives the sliding seat A82 to expand or shrink the lateral coverage; when the flow state of the concrete changes, the driving member B85 adjusts the longitudinal spacing of the sliding seat B84 to match the vibration needs of different areas.

[0061] The present scheme dynamically matches the distribution density of the vibrator 86 with the size of the pouring cavity through the orthogonal two-way adjustable structure, eliminates the vibration blind area, and avoids waste of vibration energy. The prior art one-way adjustment mechanism can only change the vibration coverage in a single direction, while the present scheme realizes density adjustment at any position in the plane through the two-stage sliding structure, significantly improving the vibration uniformity.

[0062] As shown in Figure 5 As a preferred embodiment of the present application, the intelligent anti-deformation control system comprises:

[0063] The pouring cavity reliability evaluation module: a pouring cavity reliability index model is constructed according to the stress of the connecting surface of the adjacent formwork 3, the number of times of use of the formwork 3, and the flatness of the inner surface of the formwork 3, and a pouring cavity reliability index is output;

[0064] The skeleton stability evaluation module: a skeleton stability index model is constructed according to the cross-sectional reinforcement ratio of the steel reinforcement skeleton in the pouring cavity and the overall stiffness of the steel reinforcement skeleton, and a skeleton stability index is output;

[0065] The concrete fluid dynamics evaluation module: a concrete flow state influence index model is constructed according to the slump of the concrete, the unit weight of the concrete, and the pouring speed of the concrete, and a concrete flow state influence index is output;

[0066] The vibration disturbance evaluation module: a vibration disturbance index model is constructed according to the distribution density of all vibrators 86, the vibration frequency of a single vibrator 86, and the vibration amplitude, and a vibration disturbance index is output;

[0067] The comprehensive deformation risk evaluation module: a comprehensive deformation risk evaluation model is constructed according to the skeleton stability index and the concrete flow state influence index on the basis of the pouring cavity reliability index and the vibration disturbance index, and a comprehensive deformation risk evaluation coefficient is output;

[0068] The clamping force control module is electrically connected with the PLC controller and the clamping assembly 5 in sequence.

[0069] In this embodiment, the pouring cavity reliability index model refers to a mathematical model for evaluating the structural integrity of the pouring cavity by quantifying the comprehensive influence of the stress of the template 3 connecting surface, the number of uses and the surface flatness. Specifically, stress sensor can be used to collect stress data of the template 3 connecting surface, and data can be obtained by combining the template 3 use frequency counter and the surface roughness detector. The calculation is realized by weighted normalization. The skeleton stability index model refers to a calculation model for reflecting the displacement resistance of the steel reinforcement skeleton by fusing the parameters of reinforcement ratio and overall stiffness. Specifically, a steel bar diameter scanner and a stiffness detection device can be used to obtain data, and the calculation is realized by linear weighting. The concrete flow state influence index model refers to a three-dimensional parameter coupling model representing the flow impact effect of concrete. Specifically, a slump tester, a bulk density sensor and a flowmeter can be used to collect data, and the calculation is realized by cubic root superposition. The vibration disturbance index model refers to a spatial distribution model for evaluating the intensity of mechanical vibration disturbance. Specifically, a vibrating machine 86 position encoder, a vibration frequency meter and an amplitude sensor can be used to obtain data, and the calculation is realized by square sum square root. The comprehensive deformation risk assessment model refers to a nonlinear function reflecting the deformation risk under the coupling action of multiple factors. Specifically, the product of the concrete flow state influence index and the vibration disturbance index can be scaled by a tangent function. The clamping force control model refers to a control algorithm for generating a target clamping force based on the dynamic superposition relationship between the preset clamping force and the risk assessment coefficient. Specifically, the PLC controller can be used to receive the comprehensive deformation risk assessment coefficient, and the output torque of the motor 53 can be adjusted in real time to realize the control.

[0070] Specifically, during the concrete pouring process, the pouring cavity reliability evaluation module calculates the pouring cavity reliability index by real-time monitoring of the formwork 3 connecting surface stress, combined with the formwork 3 usage frequency and surface flatness data. At the same time, the skeleton stability evaluation module generates a skeleton stability index according to the steel reinforcement ratio and overall stiffness data. The concrete fluid dynamics evaluation module outputs the concrete flow state influence index based on the dynamic changes of slump, bulk density and pouring speed. The vibration disturbance evaluation module generates a vibration disturbance index according to the vibrator 86 distribution density, vibration frequency and amplitude. The comprehensive deformation risk evaluation module inputs the above indexes into a nonlinear coupling model to calculate the comprehensive deformation risk evaluation coefficient. The clamping force control module sends control signals to the motor 53 of the clamping assembly 5 through the PLC controller according to the dynamic relationship between the coefficient and the preset clamping force, to adjust the clamping force of the clamp 52 on the positioning steel in real time. When the stress of the formwork 3 increases or the concrete flow impact increases, the system automatically enhances the clamping force to suppress the deformation of the formwork 3; when the steel skeleton stiffness is high or the vibration disturbance is small, the clamping force is appropriately reduced to avoid mechanical overload.

[0071] Compared with the prior art, the traditional forming device only fixes the steel by presetting a fixed clamping force, without considering the dynamic influence of the formwork 3 wear state, concrete flow characteristics and vibration disturbance on the system stability. The single factor monitoring method in the prior art cannot accurately evaluate the deformation risk under the coupling action of multiple physical fields, resulting in lag or misalignment of clamping force adjustment. The present scheme realizes real-time comprehensive monitoring of the formwork 3 state, steel stability, concrete flow state and vibration disturbance by constructing a multi-dimensional dynamic evaluation system, and generates accurate clamping force control instructions based on a nonlinear risk evaluation model to form a closed-loop control system.

[0072] As a preferred embodiment of the present application, the stress of the connecting surface of the adjacent formwork 3, the usage frequency of the formwork 3 and the surface flatness of the formwork 3 are normalized by the maximum-minimum normalization method respectively, and the connecting surface stress index, the usage frequency index and the surface flatness index are generated respectively; the pouring cavity reliability index model is:

[0073] ;

[0074] wherein represents the connecting surface stress influence coefficient, represents the usage frequency influence coefficient, represents the surface flatness influence coefficient, , , and are all greater than , represents the connecting surface stress index, the usage frequency index, a surface flatness index, a pouring cavity reliability index.

[0075] In this embodiment, the maximum-minimum normalization method refers to linearly transforming the original data to the interval [0, 1], which can be specifically implemented by dividing the measured parameter by the historical maximum parameter value, for eliminating the incomparability between parameters of different dimensions. The connection surface stress index refers to a standardized parameter generated after normalization processing of the stress value of the contact surface between adjacent forms 3 measured by a stress sensor, for quantifying the influence of stress concentration on structural integrity. The use frequency index refers to the normalized value of the cumulative use frequency of the form 3, which is used to reflect the influence of the cumulative use frequency on the reliability of the form 3. The expression is converted into a reliability attenuation factor, reflecting the contribution of the remaining life of the form 3 to the reliability. The surface flatness index refers to a parameter generated after normalization processing of the inner surface roughness of the form 3 measured by a laser scanner, for characterizing the sealing performance of the form 3. The weight coefficient 、 and are determined by experimental data fitting or expert experience, for adjusting the contribution proportion of different parameters to the reliability evaluation.

[0076] Specifically, the stress data of the connection surface between adjacent forms 3 are collected in real time by a stress sensor, and the cumulative use frequency record and the surface roughness measurement result of the form 3 are combined to generate corresponding stress index, use frequency index and flatness index respectively after normalization processing. In constructing the model, the use frequency index is introduced into the calculation in the form of , so that the reliability index presents a decreasing trend as the use frequency of the form 3 increases. The three normalized indices are summed by weighting to comprehensively reflect the influence of the current structural strength, historical use loss and surface state of the form 3 on the overall reliability of the pouring cavity. By dynamically adjusting the weight coefficient, the evaluation model can be optimized for different materials or working conditions, so that the index can accurately represent the real-time state of the form 3 system.

[0077] Through the above technical solutions, the present application can accurately quantify the comprehensive influence of the stress concentration, fatigue accumulation and surface wear of the form 3 connection surface on the structural reliability of the pouring cavity, avoiding concrete leakage or size deviation caused by deformation or sealing failure of the form 3. The normalization processing eliminates the dimensional difference between parameters, so that data from different sources can directly participate in model calculation, improving the objectivity of the evaluation result. The weighted summation model can adjust the weight of each parameter according to actual requirements, adapting to the reliability evaluation requirements under different material or process conditions, and providing accurate basis for subsequent dynamic adjustment of clamping force.

[0078] As a preferred embodiment of the present application, the overall rigidity of the steel reinforcement framework is normalized by using the maximum-minimum normalization method, and an overall rigidity index is generated; the framework stability index model is:

[0079]

[0080] wherein represents a cross-section reinforcement ratio influence coefficient, represents an overall rigidity influence coefficient, , , are all greater than , represents a cross-section reinforcement ratio, dimensionless, and takes a value range of , represents an overall rigidity index, represents a framework stability index.

[0081] In this embodiment, the overall rigidity refers to the ability of the steel reinforcement framework to resist deformation in three-dimensional space, which can be specifically measured by using strain sensors to measure the deformation of the steel reinforcement framework under stress in different directions, and a quantitative index is generated by using a rigidity calculation formula. The cross-section reinforcement ratio refers to the proportion of steel reinforcement in a unit cross-sectional area, which can be specifically calculated by using image recognition technology to scan the cross-section of the steel reinforcement framework and calculate the steel reinforcement distribution density. The cross-section reinforcement ratio influence coefficient and the overall rigidity influence coefficient are used to reflect the contribution weight of the two types of parameters to the stability of the framework, which can be specifically set by engineering test data or expert experience.

[0082] Specifically, the overall rigidity of the steel reinforcement framework is collected in real time by strain sensors arranged at key nodes, and the original rigidity data is converted into a dimensionless overall rigidity index after being normalized by using the maximum-minimum normalization method. The cross-section reinforcement ratio is generated by calculating the ratio of the actual reinforcement ratio to the design reinforcement ratio based on the steel reinforcement distribution information obtained by an image acquisition device. In the framework stability index model, the overall rigidity index and the cross-section reinforcement ratio are multiplied by the corresponding weight coefficients and then added, and the sum of the weight coefficients is 1, so as to ensure that the contribution proportion of different parameters to the stability evaluation can be adjusted. The framework stability index output by the model can quantitatively reflect the anti-displacement ability of the steel reinforcement framework under the flow of concrete and the disturbance of vibration, thereby providing a basis for the dynamic adjustment of the clamping force.

[0083] ​Through the technical solution, the stability state of the steel reinforcement framework under complex working conditions can be accurately quantified, and the clamping force of the clamping assembly 5 is dynamically adjusted according to the real-time evaluation result. When the framework stability index is low, the clamping force is automatically increased to inhibit the displacement of the steel reinforcement; when the index is high, the clamping force is appropriately reduced to avoid excessive constraint. The scheme effectively balances the steel reinforcement fixing demand and the mechanical damage risk, and ensures that the thickness of the steel reinforcement protection layer in the pouring process always meets the design requirements.

[0084] As a preferred embodiment of the present application, the concrete slump, the concrete unit weight and the concrete pouring speed are normalized by using the maximum-minimum normalization method respectively, and a slump index, a unit weight index and a pouring speed index are generated respectively; the concrete flow state influence index model is:

[0085] .

[0086] wherein represents the slump index, represents the unit weight index, represents the pouring speed index, represents the concrete flow state influence index.

[0087] In this embodiment, the slump index is a dimensionless parameter converted from the measured value of the concrete slump to the range of 0-1 by using the maximum-minimum normalization method, which can be calculated by the ratio of the measured value of the slump to the preset slump extreme value, and is used to represent the influence degree of the concrete flowability. The unit weight index is a dimensionless parameter converted from the measured value of the concrete unit weight to the range of 0-1 by using the maximum-minimum normalization method, which can be calculated by the ratio of the measured value of the unit weight to the preset unit weight extreme value, and is used to represent the influence degree of the concrete self-weight on the side pressure of the formwork 3. The pouring speed index is a dimensionless parameter converted from the measured value of the concrete pouring speed to the range of 0-1 by using the maximum-minimum normalization method, which can be calculated by the ratio of the measured value of the pouring speed to the preset speed extreme value, and is used to represent the influence degree of the pouring impact force on the stability of the steel reinforcement framework. The cubic root function is a nonlinear processing method for performing cubic root operation on the sum of the three normalized indexes, which can be realized by an embedded processor, and is used to balance the weight relationship between multiple parameters and strengthen the synergistic effect.

[0088] Specifically, first, the real-time data of the slump, the unit weight and the pouring speed of the concrete are collected by the sensors respectively, the measured values of the parameters are respectively linearly mapped with the preset maximum and minimum values of the same parameters, and the slump index, the unit weight index and the pouring speed index in the range of 0-1 are generated. The slump index reflects the dynamic influence of the flow state of the concrete on the side pressure of the formwork 3, the unit weight index represents the continuous load of the self-weight of the concrete on the support structure of the formwork 3, and the pouring speed index quantifies the instantaneous disturbance of the pouring impact on the reinforcement framework. Then, the three indexes are added and the cubic root is taken, to form a comprehensive flow state influence index. This nonlinear operation method not only avoids the single parameter dominant evaluation result, but also amplifies the comprehensive influence of the coupling of multiple parameters on the system stability through mathematical transformation, so that the flow state influence index can dynamically reflect the combined influence strength of the flow state change of the concrete on the formwork 3 and the reinforcement framework.

[0089] Through the above technical solution, the dynamic comprehensive evaluation of the concrete flow state parameters is realized, and the evaluation deviation problem caused by the isolated analysis of the parameters in the traditional method is solved. The synergistic effect of the slump, the unit weight and the pouring speed is accurately quantified, the combined influence of the flow state of the concrete on the deformation of the formwork 3 and the deviation of the reinforcement can be accurately predicted, the clamping force regulation can be differentially controlled according to the flow state characteristics under different working conditions, and the structural instability risk caused by the dynamic change of the flow state parameters is effectively inhibited.

[0090] As a preferred embodiment of the present application, the distribution density of all the vibrators 86, the vibration frequency of a single vibrator 86 and the vibration amplitude are respectively normalized by the maximum-minimum normalization method, and the distribution density index, the vibration frequency index and the vibration amplitude index are respectively generated; the vibrator disturbance index model is:

[0091]

[0092] wherein the density index is denoted by D, the vibration frequency index is denoted by F, the vibration amplitude index is denoted by A, and the vibrator disturbance index is denoted by V.

[0093] ​In this embodiment, the distribution density index refers to the intensity of the spatial distribution of the vibrating machine 86 around the pouring cavity. Specifically, the actual measured distribution density value can be mapped to the 0-1 interval using the maximum-minimum normalization method to eliminate the influence of size differences of different scale pouring cavities on the distribution density evaluation. The vibration frequency index refers to the number of vibrations generated by a single vibrating machine 86 per unit time. Specifically, the measured vibration frequency can be normalized by the preset safe frequency range to reflect the vibration energy input intensity. The amplitude index refers to the amplitude of the vibrating stroke of the vibrating machine 86. Specifically, the amplitude can be measured by a laser displacement sensor and then normalized to convert it into a dimensionless index, which is used to represent the instantaneous impact intensity of the vibration on the formwork 3. The Euclidean distance model refers to the calculation of the square sum of the three indices to obtain a comprehensive disturbance index. Specifically, it is used to fuse the nonlinear coupling relationship of multi-dimensional parameters and quantify the dynamic mechanical disturbance intensity of the vibrating operation on the formwork 3 and the reinforcement cage.

[0094] Specifically, the distribution density, vibration frequency, and vibration amplitude have significant differences in physical dimension and numerical range, and direct superposition can cause distortion of the evaluation results. By normalizing the three indices to dimensionless indices, the order of magnitude difference is eliminated, and the parameter comparability is ensured. When using the Euclidean distance model for parameter fusion, the square operation can amplify the contribution of high-value parameters, and the root operation controls the growth rate of the index, so that the vibrating disturbance index can reflect the superposition effect of high density, high frequency, and large amplitude, and also identify the risks caused by the abnormal increase of a single parameter. When the vibrating machine 86 is densely distributed, the distribution density index tends to 1. At this time, even if the vibration frequency and amplitude are within the normal range, the comprehensive disturbance index will still increase significantly, indicating that the clamping force control needs to be strengthened.

[0095] As a preferred embodiment of the present application, the comprehensive deformation risk assessment model is:

[0096] .

[0097] wherein β represents the risk scaling coefficient, is greater than , represents the concrete flow state influence index, represents the vibrating disturbance index, is the pouring cavity reliability index, represents the skeleton stability index, represents the comprehensive deformation risk assessment coefficient.

[0098] In this embodiment, the risk scaling coefficient β is a parameter used to adjust the output range of the model. Specifically, a calibration method based on historical data fitting can be used to determine the value of β, such that the model output is positively correlated with the measured deformation. The concrete flow state influence index is a comprehensive index reflecting the flow characteristics of concrete, used to quantify the impact of fluid on the formwork 3 and reinforcement. Vibration disturbance index is an index representing the influence of vibration operation on system stability, used to quantify the dynamic disturbance caused by mechanical vibration. Pouring cavity reliability index is an index for evaluating the structural integrity of the formwork 3, used to reflect the anti-deformation ability of the formwork 3 itself. Skeleton stability index is an index for evaluating the anti-displacement ability of the reinforcement skeleton, used to represent the structural stability of the reinforcement system.

[0099] Specifically, the model constructs a nonlinear ratio relationship by taking the product of the concrete flow state influence index and the vibration disturbance index as the numerator, and the product of the pouring cavity reliability index and the skeleton stability index as the denominator. When the concrete flow impact is enhanced or the vibration disturbance is intensified, the numerator increases; when the formwork 3 structure is aging or the reinforcement skeleton stiffness is insufficient, the denominator decreases, both of which together lead to an increase in the ratio. The linear ratio is converted to a nonlinear risk assessment coefficient by the tangent function, and when the ratio approaches π / 2, the risk coefficient shows a sharp upward trend, which can effectively identify the critical instability state. The introduction of the risk scaling coefficient β allows the model sensitivity to be adjusted according to engineering practice, for example, it can be set to a larger value in high-rise building component production to improve the risk response speed, and it can be appropriately reduced in low-rise buildings to avoid excessive regulation.

[0100] As a preferred embodiment of the present application, the clamping force control model is:

[0101] ;

[0102] wherein represents the preset clamping force, represents the maximum allowable safe clamping force, determined by mechanical design or reinforcement strength, represents the control gain coefficient, the value range is , represents the comprehensive deformation risk assessment coefficient, represents the target clamping force.

[0103] In this embodiment, the preset clamping force refers to the basic clamping force value preset based on the conventional working condition, which can be determined by experimental test or engineering experience, and is used to maintain the initial fixation of the reinforcement framework when there is no significant risk. The maximum safe clamping force refers to the upper limit of the clamping force allowed by the system, which is determined by the mechanical structure strength or the reinforcement yield strength threshold, and is used to prevent mechanical damage or reinforcement deformation caused by excessive clamping force. The control gain coefficient refers to the proportional factor of the clamping force adjustment amplitude, which can be set by programmable parameters, and is used to control the change rate of the clamping force compensation amount. The comprehensive deformation risk assessment coefficient refers to the dynamic risk quantitative value calculated by coupling the formwork 3 reliability, framework stability, concrete flow state and vibration disturbance, which is generated in real time by sensor data and evaluation model, and is used to reflect the deformation risk level under the current working condition.

[0104] Specifically, the model takes the preset clamping force as the basic value, and dynamically compensates the clamping force by introducing the comprehensive deformation risk assessment coefficient. When the real-time monitored formwork 3 stress, reinforcement displacement or vibration disturbance parameters exceed the safety threshold, the comprehensive deformation risk assessment coefficient increases, triggering the clamping force compensation mechanism. At this time, the control gain coefficient and the maximum safe clamping force jointly constrain the compensation amplitude, so that the clamping force is proportionally increased between the preset value and the safety upper limit. For example, when the concrete pouring speed is too fast, causing the fluid pressure to increase suddenly, the system increases the clamping force to suppress the reinforcement framework deviation; when the formwork 3 reliability decreases due to repeated use, the clamping force automatically increases to enhance the formwork 3 connection stability. Conversely, when the assessment coefficient decreases, the clamping force returns to the preset value to reduce mechanical wear and tear. Through real-time feedback and nonlinear regulation, the clamping force is always maintained between the minimum effective value required to suppress deformation and the safety upper limit.

[0105] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An energy-saving prefabricated building module forming device, the workbench, a plurality of electric push rods are distributed in a rectangular shape on the workbench, the electric push rods are all fixedly connected with a formwork through bolts, all the formworks are jointly spliced to form a pouring cavity for concrete pouring and forming, a plurality of positioning holes are arranged on the formwork, a clamping assembly is arranged on each formwork, the clamping assembly can simultaneously fix the positioning steel bars inserted into the positioning holes, so as to fix the steel bar framework in the pouring cavity; the workbench is fixedly connected with a support frame, the support frame is fixedly connected with an electric lifting rod, the telescopic end of the electric lifting rod is fixedly connected with a vibrating mechanism, the vibrating mechanism comprises a plurality of vibrating machines for vibrating the concrete in the pouring cavity; An intelligent anti-deformation control system can comprehensively evaluate the building state of the formwork and the steel bar framework, the working state of the vibrating machine and the flow state of the concrete, and adjust the clamping force of the clamping assembly according to the evaluation result.

2. The energy-saving fabricated building module forming device according to claim 1, wherein The clamping assembly comprises a sliding plate, a clamp, a motor and a driving wheel; The upper and lower sides of the positioning hole are both provided with a sliding plate, the sliding plates are both horizontally and slidingly connected with the side wall of the formwork, the sliding plates are both fixedly connected with the clamps, the clamping surfaces of the clamps are all opposite to the positioning holes on their one side, the formwork is fixedly connected with a motor through a fixing frame, the output shaft of the motor is fixedly connected with a driving wheel, and the driving wheel is engaged with the sliding plates on both sides. 3.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The vibrating mechanism further comprises a connecting seat, two sliding seats A are slidingly connected in the connecting seat, the connecting seat is connected with a driving piece A for driving the two sliding seats A to move simultaneously, two sliding seats B are slidingly connected in the sliding seat A, the sliding seat A is connected with a driving piece B for driving the two sliding seats B to move relative to each other, the movement direction of the sliding seat B is perpendicular to the movement direction of the sliding seat A, and the sliding seat B is fixedly connected with a vibrating machine. 4.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The intelligent anti-deformation control system comprises: A pouring cavity reliability evaluation module: a pouring cavity reliability index model is constructed according to the stress of the connecting surface of adjacent formworks, the number of times of using the formwork and the flatness of the inner surface of the formwork, and a pouring cavity reliability index is output; A framework stability evaluation module: a framework stability index model is constructed according to the cross-sectional reinforcement ratio of the steel bar framework in the pouring cavity and the overall rigidity of the steel bar framework, and a framework stability index is output; A concrete fluid dynamics evaluation module: a concrete flow state influence index model is constructed according to the slump degree of the concrete, the unit weight of the concrete and the concrete pouring speed, and a concrete flow state influence index is output; A vibrating disturbance evaluation module: a vibrating disturbance index model is constructed according to the distribution density of all vibrating machines, the vibration frequency of a single vibrating machine and the vibration amplitude, and a vibrating disturbance index is output; A comprehensive deformation risk evaluation module: a comprehensive deformation risk evaluation model is constructed according to the framework stability index and the concrete flow state influence index on the basis of the pouring cavity reliability index and the vibrating disturbance index, and a comprehensive deformation risk evaluation coefficient is output. The clamping force control module is electrically connected with the PLC controller and the clamping assembly in sequence. 5.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The stress of the adjacent template connecting surface, the template use frequency and the template inner surface flatness are normalized by using the maximum-minimum normalization method, and the connecting surface stress index, the use frequency index and the surface flatness index are generated respectively; the pouring cavity reliability index model is: ； wherein represents a connection surface stress influence coefficient, represents a use frequency influence coefficient, represents a surface flatness influence coefficient, represents a connection surface stress index, a use frequency index, a surface flatness index, a pouring cavity reliability index. 6.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The overall rigidity of the steel reinforcement framework is normalized by using the maximum-minimum normalization method, and the overall rigidity index is generated; the framework stability index model is: ； wherein represents a cross-sectional reinforcement ratio influence coefficient, represents a global stiffness influence coefficient, represents a cross-sectional reinforcement ratio, represents a global stiffness index, represents a skeleton stability index. 7.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The concrete slump, the concrete unit weight and the concrete pouring speed are normalized by using the maximum-minimum normalization method, and the slump index, the unit weight index and the pouring speed index are generated respectively; the concrete flow state influence index model is: 。 wherein represents a slump index, represents a unit weight index, represents a placing speed index, represents a concrete flowability influence index. 8.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The distribution density of all the vibrators, the vibration frequency of a single vibrator and the vibration amplitude are normalized by using the maximum-minimum normalization method, and the distribution density index, the vibration frequency index and the vibration amplitude index are generated respectively; the vibrator disturbance index model is: ； wherein represents the density index, represents the frequency index, is the amplitude index, represents the vibration disturbance index. 9.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The comprehensive deformation risk assessment model is: 。 wherein represents a risk scaling coefficient, represents a concrete fluidity influence index, represents a vibration disturbance index, is a pouring cavity reliability index, represents a skeleton stability index, represents a comprehensive deformation risk assessment coefficient. 10.The energy-saving fabricated building module forming device according to claim 1, characterized in that, The clamping force control model is: ； wherein represents a preset clamping force, represents a maximum safe clamping force allowed, determined by mechanical design or steel strength, represents a control gain coefficient, represents a comprehensive deformation risk assessment coefficient, represents a target clamping force.

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