An intelligent leveling method and system for prefabricated beams with adjustable bottom height

Abstract

The present invention discloses an intelligent leveling method and system for prefabricated beams with adjustable bottom height, which is applied to a control device and includes: receiving elevation data to be processed and performing difference calculation with a preset elevation threshold to obtain the elevation data difference; receiving pressure data and performing data analysis to obtain the support reaction force of each support point; processing the elevation data difference and the support reaction force of each support point to obtain a target instruction; and transmitting the target instruction to inject a fluid material into the device and execute it. The present invention injects a fluid material that can control the solidification time into the device and utilizes the rheological properties of the fluid material so that the bottom plate of the device can automatically fit tightly with the support, and each point of the support is uniformly stressed. The device of the present invention can adjust the height by adjusting the injection or release of the fluid material, and can make the support reaction force of each support point of a multi-support bridge the same, thereby preventing the support from becoming empty. The present invention is applicable to any prefabricated beam body and can also be applied to the leveling of any support.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic balancing of engineering beams, and in particular to an intelligent leveling method and system for adjusting the height of the bottom of a prefabricated beam. Background Art

[0002] Prefabricated bridges are currently the most common form of bridge superstructure due to their standardized production and rapid construction, and are widely used on highways. Actual bridges need to adapt to the transverse and longitudinal slopes of the route, so prefabricated beams generally use different pad stone top surface heights to form transverse and longitudinal slopes to adapt to the route. This requires us to embed leveling steel plates at the bottom of the prefabricated beams to ensure that the bottom of the leveling steel plates remains level after the beams are installed. When prefabricating beams, due to the many changes in the transverse and longitudinal slopes of the route, it is difficult to ensure that the leveling blocks are consistent with the design during prefabrication. In addition, since the prefabricated beams may have been completed before the pad stone construction, there will inevitably be construction errors in the pad stone elevation, resulting in the slope of the beams after installation being inconsistent with the design.

[0003] The present invention achieves the balance of the beam and the elevation within the design range through intelligent adjustment, and can adjust the construction error within the allowable error range, which greatly improves efficiency, increases construction accuracy, and reduces time and labor costs. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that manual adjustment will cause huge construction errors. The purpose is to provide an intelligent leveling device and system with adjustable height of the bottom of prefabricated beams, which can solve the problem that when there is a construction error in the elevation of the shim stone and the height of the leveling block is constructed according to the theoretical design value, the actual longitudinal and transverse slopes of the beam body and the elevation of the beam top will inevitably be inconsistent with the design, requiring a too thin or too thick leveling layer to solve, resulting in the load not being consistent with the design.

[0005] The present invention is achieved through the following technical solutions:

[0006] An intelligent leveling method for precast beams with adjustable bottom height, based on a fluid material injection device and applied to a control device, comprises:

[0007] The elevation data difference is obtained by performing difference calculation between the elevation data to be processed and the preset elevation threshold;

[0008] Obtain pressure data and perform data analysis to obtain the support reaction force of each support point;

[0009] Processing the elevation data difference and the support reaction force of each support point to obtain a target instruction;

[0010] The fluid material injection device executes the target command.

[0011] Optionally, the real-time elevation data is input into a wireless data receiving device, and the real-time elevation data transmitted by wireless transmission is received by the wireless data receiving device.

[0012] Optionally, the specific steps of inputting the real-time elevation data into a wireless data receiving device and converting the real-time elevation data by the wireless data receiving device include:

[0013] After the wireless data receiving device receives the real-time elevation data, it processes the corresponding real-time position points according to the real-time values ​​in the real-time elevation data to obtain a real-time data list;

[0014] The wireless data receiving device performs identification processing on the real-time data list to obtain the real-time elevation of the corresponding point;

[0015] The wireless data receiving device performs array processing on the real-time elevations of the corresponding points to obtain a corresponding elevation array;

[0016] The wireless data receiving device performs analytical processing on the elevation array to obtain elevation data to be processed.

[0017] Optionally, the specific steps of inputting the elevation data to be processed into the control device and performing difference calculation between the elevation data to be processed and the preset elevation data by the control device include:

[0018] The specific steps of converting the characteristic vectors to be processed corresponding to the elevation data to be processed and the preset characteristic vector corresponding to the preset elevation data into multiple characteristic vectors are as follows: the multiple characteristic vectors to be processed and the multiple preset characteristic vectors are processed in sequence according to the processing order, at least one feature of the multiple characteristic vectors to be processed corresponds to the multiple preset characteristic vectors, a numerical comparison is performed based on the preset characteristic vector corresponding to the characteristic vector to be processed to obtain a characteristic vector difference; when the characteristic vector difference used to calculate the elevation difference is satisfied, the control device performs data conversion to obtain the elevation data difference.

[0019] Optionally, the specific steps of inputting the pressure data into the control device and performing data analysis on the pressure data by the control device include:

[0020] The control device reads the real-time point pressure values ​​in sequence;

[0021] The control device performs data processing on the real-time point pressure value to obtain a pressure data list corresponding to the real-time point pressure value;

[0022] The control device analyzes the pressure data list to obtain the support reaction force of each support point corresponding to the pressure data list.

[0023] Optionally, the elevation data difference and the support reaction force of each support point are input into a control device, and the elevation data difference and the support reaction force of each support point are processed by the control device. Specific steps include:

[0024] The control device performs affine transformation on the support reaction forces of the support points to obtain a reaction force matrix;

[0025] The control device maps the elevation data difference to the reaction force matrix to obtain target data corresponding to the elevation data difference;

[0026] The control device performs conversion based on the target data to obtain a target instruction corresponding to the target data.

[0027] Optionally, the specific steps of inputting the target instruction into the control device and feeding the target instruction back to the fluid material injection device through the control device include:

[0028] The control device communicates with the fluid material injection device;

[0029] The control device feeds back the target instruction to the fluid material injection device;

[0030] After receiving the target instruction, the fluid material injection device decomposes the target instruction into steps to obtain the elevation data index and pressure data index corresponding to the target instruction;

[0031] The fluid material injection device executes instructions according to the elevation data indicator and the pressure data indicator;

[0032] The fluid material injection device injects the fluid material into the intelligent leveling device.

[0033] Optionally, when the prefabricated beam is a two-point support structure, the specific steps of the control device feeding back the target instruction to the fluid material injection device include:

[0034] The control device only performs single-item control on the intelligent leveling device according to the elevation data index.

[0035] Optionally, when the prefabricated beam is a four-point or multi-point support structure, the specific steps of the control device feeding back the target instruction to the fluid material injection device include:

[0036] The control device controls the intelligent leveling device according to the pressure data indicator;

[0037] When the support reaction force of each intelligent leveling device is adjusted to be consistent, the elevation data index of the intelligent leveling device is continued to be adjusted so that the actual elevation reaches the range of the elevation data index.

[0038] An intelligent leveling system for precast beams with adjustable bottom height, comprising an intelligent leveling device, a fluid material injection device, an elevation reading device, a control device, and a wireless data receiving device; the wireless data receiving device is used to receive elevation data to be processed sent by the elevation reading device;

[0039] The control device calculates the difference between the elevation data to be processed and the preset elevation threshold value to obtain the elevation data difference;

[0040] The control device is used to receive pressure data transmitted by the fluid material injection device;

[0041] The control device performs data analysis on the pressure data to obtain the support reaction force of each support point;

[0042] The control device processes the elevation data difference and the support reaction force of each support point to obtain a target instruction;

[0043] The control device sends a target instruction to the fluid material injection device;

[0044] The fluid material injection device injects fluid material into the intelligent leveling device.

[0045] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0046] 1. This invention relates to an intelligent leveling method and system for precast beams with adjustable bottom height. By injecting a fluid material with controlled curing time into the device and leveraging its rheological properties, the device's baseplate automatically and tightly adheres to the supports, ensuring uniform force distribution across all support points. The device can adjust height by injecting or releasing the fluid material, ensuring uniform reaction forces at all support points on multi-support bridges and preventing support voids.

[0047] The present invention is applicable to any prefabricated beam, not limited to concrete materials and steel structure bridges; it can also be applied to the leveling of any support, not limited to the bridge field; the prefabricated beam can be installed with the device during prefabrication or before the beam is erected and installed;

[0048] 2. The present invention provides an intelligent leveling method and system for precast beams with adjustable bottom height. This device and system, applicable to precast beams with adjustable bottom height, avoid construction errors in the elevation of cushion stones. Therefore, when the height of the intelligent leveling blocks is constructed according to the theoretical design value, the actual longitudinal and transverse slopes of the beam body and the beam top elevation are consistent with the design, thereby improving construction accuracy and reducing labor costs.

[0049] 3. The present invention provides an intelligent leveling method and system for prefabricated beams with adjustable bottom height, which avoids the existence of an angle between the leveling block and the support, makes the local force of the support uniform, and prolongs the service life of the support. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0051] Figure 1 A schematic diagram of the architecture of an intelligent leveling method and system for adjusting the bottom height of a prefabricated beam according to the present disclosure.

[0052] Figure 2 The invention is a flow chart of an intelligent leveling method for a prefabricated beam with an adjustable bottom height. DETAILED DESCRIPTION

[0053] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0054] After investigation and research, the inventors discovered that the present invention discloses an intelligent leveling method and system for prefabricated beams with adjustable bottom height, which is applied to a control device and includes: receiving elevation data to be processed and performing difference calculation with a preset elevation threshold to obtain the elevation data difference; receiving pressure data and performing data analysis to obtain the support reaction force of each support point; processing the elevation data difference and the support reaction force of each support point to obtain a target instruction; and transmitting the target instruction to inject the fluid material into the device and execute it. The present invention injects a fluid material that can control the solidification time into the device and utilizes the rheological properties of the fluid material so that the bottom plate of the device can automatically fit tightly with the support, and each point of the support is uniformly stressed. The device of the present invention can adjust the height by adjusting the injection or release of the fluid material, and can make the support reaction force of each support point of a multi-support bridge the same, thereby preventing the support from becoming empty. The present invention is applicable to any prefabricated beam body and can also be applied to the leveling of any support.

[0055] In order to improve the above-mentioned problems of the prior art, an embodiment of the present invention provides an intelligent leveling method and system for the adjustable height of the bottom of a prefabricated beam, which can process the elevation data and pressure data received by the control device, thereby ensuring that the control device obtains the corresponding target instructions.

[0056] In order to facilitate the description of the intelligent leveling method and system for the adjustable height of the bottom of the prefabricated beam, please refer to Figure 1 , provides a schematic diagram of the communication architecture of the intelligent leveling method 100 disclosed in an embodiment of the present invention. The intelligent leveling method 100 may include an elevation reading device 200, a wireless data receiving device 300, a control device 400, a fluid material injection device 500, and an intelligent leveling device 600.

[0057] In a specific embodiment, the control device 400 can be a desktop computer, a tablet computer, a laptop computer, a mobile phone or other electronic devices capable of data processing and data communication, and no further limitations are given here.

[0058] Based on the above, please refer to Figure 2 , which is a flow chart of an intelligent leveling method for a precast beam with adjustable bottom height provided by an embodiment of the present invention. The intelligent leveling method can be applied to Figure 1 The control device 400 in the embodiment further comprises the following steps S21 to S24.

[0059] Step S21 , performing a difference calculation between the elevation data to be processed and a preset elevation threshold value to obtain an elevation data difference.

[0060] Step S22: Obtain pressure data and perform data analysis to obtain the support reaction force of each support point.

[0061] Step S23: Processing the elevation data difference and the support reaction force of each support point to obtain a target instruction.

[0062] Step S24: According to the target instruction, the fluid material injection device executes the target command.

[0063] When executing steps S21 through S24 above, the following beneficial technical effects can be achieved: By injecting a fluid material with controlled curing time into the device, the present invention utilizes the rheological properties of the fluid material to automatically and tightly mate with the support, ensuring uniform force distribution across all points of the support. The device can be adjusted in height by injecting or releasing the fluid material, ensuring uniform reaction forces at all support points on a multi-support bridge, preventing support voids.

[0064] The present invention is applicable to any prefabricated beam, not limited to concrete materials and steel structure bridges; it can also be applied to the leveling of any support, not limited to the bridge field; the prefabricated beam can be installed with the device during prefabrication, or before the beam is erected and installed.

[0065] In a specific embodiment, in order to accurately transmit the real-time elevation data to the wireless data receiving device, the following steps may be specifically included: the elevation reading device transmits the real-time elevation data to the wireless data receiving device.

[0066] On the basis of the above, based on data transmission, in order to more reliably transmit the real-time elevation data to the wireless data receiving device, the following steps as described in step S11 may be specifically included.

[0067] In step S11 , real-time elevation data is input into a wireless data receiving device, and the real-time elevation data transmitted by wireless transmission is received by the wireless data receiving device.

[0068] It can be understood that through the above step S11, the real-time elevation data is transmitted to the wireless data receiving device by wireless transmission.

[0069] During the specific implementation process, in order to determine that the wireless data receiving device converts the real-time elevation data, thereby ensuring the accuracy of the conversion of the real-time elevation data, the described wireless data receiving device converts the real-time elevation data, which can specifically include the contents described in steps a to c.

[0070] In step a, the wireless data receiving device processes the corresponding real-time position points according to the real-time values ​​in the real-time elevation data to obtain a real-time data list; the wireless data receiving device performs identification processing on the real-time data list to obtain the real-time elevation of the corresponding point.

[0071] In step b, the wireless data receiving device performs array processing on the real-time elevations of the corresponding points to obtain a corresponding elevation array.

[0072] In step c, the wireless data receiving device performs analytical processing on the elevation array to obtain the elevation data to be processed.

[0073] It can be understood that through the above steps a to c, the wireless data receiving device can accurately convert the real-time elevation data.

[0074] During the specific implementation process, in order to determine that the control device performs difference calculation on the elevation data to be processed and the preset elevation data, thereby ensuring the accuracy of data processing, the step corresponding to the control device performing difference calculation on the elevation data to be processed and the preset elevation data described in step S21 may specifically include the contents described in steps S211-S213.

[0075] Step S211 , wherein a plurality of feature vectors specific to the feature vector to be processed corresponding to the elevation data to be processed and the preset feature vector corresponding to the preset elevation data are combined.

[0076] Step S212 is specifically as follows: processing multiple feature vectors to be processed and multiple preset feature vectors in sequence according to the processing order, at least one feature of the multiple feature vectors to be processed corresponds to the multiple preset feature vectors, performing numerical comparison based on the preset feature vectors corresponding to the feature vectors to be processed to obtain feature vector differences.

[0077] Step S213: When the characteristic vector difference for calculating the elevation difference is satisfied, the control device performs data conversion to obtain the elevation data difference.

[0078] It can be understood that through the above steps S211 to S213, the control device can accurately calculate the difference between the elevation data to be processed and the preset elevation data to obtain the elevation data difference.

[0079] During the specific implementation process, in order to accurately determine that the control device performs data analysis on the pressure data, thereby ensuring the accuracy of the support reaction force of each fulcrum, the steps described in step S22 corresponding to the data analysis of the pressure data by the control device may specifically include the contents described in steps S221-S223.

[0080] Step S221 , reading the real-time point pressure values ​​in the control device in sequence according to a time sequence.

[0081] In step S222 , the control device performs data processing on the real-time point pressure value to obtain a pressure data list corresponding to the real-time point pressure value.

[0082] In step S223 , the control device analyzes the pressure data list to obtain the support reaction force of each support point corresponding to the pressure data list.

[0083] It can be understood that through the above steps S221 to S223, the control device can accurately perform data analysis on the pressure data to obtain the support reaction force of each support point.

[0084] During the specific implementation process, in order to more reliably determine that the control device performs processing based on the elevation data difference and the support reaction force of each support point, thereby ensuring the accuracy of the target instruction, the steps described in step S23 based on the control device performing processing based on the elevation data difference and the support reaction force of each support point can specifically include the contents described in steps S231-step S233.

[0085] In step S231, the control device performs affine mapping on the support reaction forces of the support points to obtain a reaction force matrix.

[0086] In step S232 , the control device maps the elevation data difference to the reaction force matrix to obtain target data corresponding to the elevation data difference.

[0087] In step S233 , the control device performs conversion based on the target data to obtain a target instruction corresponding to the target data.

[0088] It can be understood that through the above steps S231 to S233, the control device can accurately process the elevation data difference and the support reaction force of each support point to obtain the target instruction.

[0089] During the specific implementation process, in order to accurately determine that the control device feeds back the target instruction to the fluid material injection device, thereby ensuring that the fluid material injection device accurately executes the command, the corresponding steps described in step S24 based on the control device feeding back the target instruction to the fluid material injection device can specifically include the contents described in steps S241-step S244.

[0090] In step S241, the control device communicates with the fluid material injection device.

[0091] In step S242, the control device feeds back the target instruction to the fluid material injection device.

[0092] In step S243, after receiving the target instruction, the fluid material injection device decomposes the target instruction into steps to obtain the elevation data index and pressure data index corresponding to the target instruction.

[0093] In step S244, the fluid material injection device executes instructions according to the elevation data indicator and the pressure data indicator.

[0094] It can be understood that through the above steps S241 to S244, the control device can accurately feed back the target instruction to the fluid material injection device, so that the fluid material injection device can accurately execute the command.

[0095] During the specific implementation process, when the prefabricated beam is a two-point support structure, in order to accurately determine the accuracy of the information that the control device feeds back the target instruction to the fluid material injection device, the steps described in step S24 based on the control device feeding back the target instruction to the fluid material injection device can specifically include the content described in step 2411.

[0096] Step 2411: When the prefabricated beam is a two-point support structure, the control device only performs single-item control on the intelligent leveling device according to the elevation data index.

[0097] It can be understood that, through the above step 2411, when the precast beam is a two-point support structure, the control device can be accurately executed to feed back the target instruction to the fluid material injection device.

[0098] During the specific implementation process, when the prefabricated beam is a four-point or multi-point support structure, in order to determine the accuracy of the information that the control device feeds back the target instruction to the fluid material injection device, the step described in step S24 is based on the steps corresponding to the control device feeding back the target instruction to the fluid material injection device, which can specifically include the contents described in steps A1-A2.

[0099] Step A1: When the prefabricated beam is a four-point or multi-point support structure, the control device controls the intelligent leveling device according to the pressure data indicator;

[0100] Step A2: When the support reaction force of each intelligent leveling device is adjusted to be consistent, the elevation data index of the intelligent leveling device is continuously adjusted so that the actual elevation reaches within the range of the elevation data index.

[0101] It can be understood that through the above steps A1 and A2, when the precast beam is a four-point or multi-point support structure, the control device can be accurately executed to feed back the target instruction to the fluid material injection device.

[0102] Please continue reading Figure 1 , an intelligent leveling system for precast beams with adjustable bottom height, comprising a precast beam, an intelligent leveling device, a fluid material injection device, an elevation reading device, a control device, and a wireless data receiving device; the wireless data receiving device is used to receive the elevation data to be processed sent by the elevation reading device;

[0103] The control device calculates the difference between the elevation data to be processed and the preset elevation threshold value to obtain the elevation data difference;

[0104] The control device is used to receive pressure data transmitted by the fluid material injection device;

[0105] The control device performs data analysis on the pressure data to obtain the support reaction force of each support point;

[0106] The control device processes the elevation data difference and the support reaction force of each support point to obtain a target instruction;

[0107] The control device sends a target instruction to the fluid material injection device;

[0108] The fluid material injection device injects fluid material into the intelligent leveling device.

[0109] It is understood that, in its specific implementation, the present invention implements intelligent control, thus avoiding the significant errors caused by manual operation. By primarily controlling the beam with elevation data and supplementing it with pressure data, the present invention achieves precise control of beam positioning. It also avoids angles between the beam's leveling block and the support, ensuring uniform local force on the support, extending the support's service life, ensuring construction accuracy, reducing construction time, and saving costs.

[0110] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent leveling method for precast beams with adjustable bottom height, based on a fluid material injection device, characterized in that: include: The elevation data difference is obtained by performing difference calculation between the elevation data to be processed and the preset elevation data; The specific steps of inputting the elevation data to be processed into the control device and performing difference calculation between the elevation data to be processed and the preset elevation data through the control device include: The processing of the to-be-processed feature vector corresponding to the to-be-processed elevation data and the plurality of preset feature vectors corresponding to the preset elevation data includes the following steps: sequentially processing the plurality of to-be-processed feature vectors and the plurality of preset feature vectors in a processing order, wherein at least one feature of the plurality of to-be-processed feature vectors corresponds to the plurality of preset feature vectors, performing numerical comparison based on the preset feature vectors corresponding to the to-be-processed feature vectors to obtain a feature vector difference; and when the feature vector difference for calculating the elevation difference is satisfied, the control device performs data conversion to obtain an elevation data difference; Obtain pressure data and perform data analysis to obtain the support reaction force of each support point; Processing the elevation data difference and the support reaction force of each support point to obtain a target instruction; The fluid material injection device executes the target instruction; Inputting the elevation data difference and the support reaction force of each support point into a control device, and processing the elevation data difference and the support reaction force of each support point by the control device. The specific steps include: The control device performs affine transformation on the support reaction forces of the support points to obtain a reaction force matrix; The control device maps the elevation data difference to the reaction force matrix to obtain target data corresponding to the elevation data difference; The control device performs conversion based on the target data to obtain a target instruction corresponding to the target data; The specific steps of inputting the target instruction into the control device and feeding the target instruction back to the fluid material injection device through the control device include: The control device communicates with the fluid material injection device; The control device feeds back the target instruction to the fluid material injection device; After receiving the target instruction, the fluid material injection device decomposes the target instruction into steps to obtain the elevation data index and pressure data index corresponding to the target instruction; The fluid material injection device executes instructions according to the elevation data indicator and the pressure data indicator; The fluid material injection device injects the fluid material into the intelligent leveling device; When the prefabricated beam is a two-point support structure, the specific steps of the control device feeding back the target instruction to the fluid material injection device include: The control device only performs single control on the intelligent leveling device according to the elevation data index; When the prefabricated beam is a four-point support structure, the specific steps of the control device feeding back the target instruction to the fluid material injection device include: The control device controls the intelligent leveling device according to the pressure data indicator; When the support reaction force of each intelligent leveling device is adjusted to be consistent, the elevation data index of the intelligent leveling device is continuously adjusted so that the actual elevation reaches within the range of the elevation data index.

2. The intelligent leveling method for prefabricated beams with adjustable bottom height according to claim 1, characterized in that: The real-time elevation data is input into a wireless data receiving device, and the real-time elevation data transmitted by wireless transmission is received by the wireless data receiving device.

3. The intelligent leveling method for prefabricated beams with adjustable bottom height according to claim 1, characterized in that: The specific steps of inputting the real-time elevation data into a wireless data receiving device and converting the real-time elevation data through the wireless data receiving device include: After the wireless data receiving device receives the real-time elevation data, it processes the corresponding real-time position points according to the real-time values ​​in the real-time elevation data to obtain a real-time data list; The wireless data receiving device performs identification processing on the real-time data list to obtain the real-time elevation of the corresponding point; The wireless data receiving device performs array processing on the real-time elevations of the corresponding points to obtain a corresponding elevation array; The wireless data receiving device performs analytical processing on the elevation array to obtain elevation data to be processed.

4. The intelligent leveling method for prefabricated beams with adjustable bottom height according to claim 1, characterized in that: The specific steps of inputting the pressure data into a control device and performing data analysis on the pressure data by the control device include: The control device reads the real-time point pressure values ​​in sequence; The control device performs data processing on the real-time point pressure value to obtain a pressure data list corresponding to the real-time point pressure value; The control device analyzes the pressure data list to obtain the support reaction force of each support point corresponding to the pressure data list.

5. An intelligent leveling system for a precast beam with an adjustable bottom height, applied to an intelligent leveling method for a precast beam with an adjustable bottom height according to any one of claims 1 to 4, characterized in that: It includes an intelligent leveling device, a fluid material injection device, an elevation reading device, a control device and a wireless data receiving device; the wireless data receiving device is used to receive the elevation data to be processed sent by the elevation reading device; The control device performs difference calculation between the elevation data to be processed and the preset elevation data to obtain the elevation data difference; The control device is used to receive pressure data transmitted by the fluid material injection device; The control device performs data analysis on the pressure data to obtain the support reaction force of each support point; The control device processes the elevation data difference and the support reaction force of each support point to obtain a target instruction; The control device sends a target instruction to the fluid material injection device; The fluid material injection device injects fluid material into the intelligent leveling device.

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