Process monitoring method for vibration operation of continuous blank layer of panel concrete

Abstract

The invention discloses a process monitoring method for continuous blank layer vibrating operation of panel concrete, which comprises the following steps: in a vibrating test stage, acquiring vibrating process parameters of a manual vibrating rod, measuring the covering radius of the concrete vibrating rod under different parameter conditions by utilizing a test means, acquiring concrete mixing process parameters and meteorological conditions, and measuring the covering radius of the concrete vibrating rod under different parameter conditions; establishing a vibrating rod covering radius prediction model and a concrete performance prediction model; in the actual vibrating operation stage, based on vibrating operation process parameters, the vibrating rod covering radius intelligent prediction model and the concrete performance index prediction model are fused, and the vibrating coverage rate and the concrete performance indexes are predicted; and an intelligent feedback model of the concrete vibrating operation process is established, and intelligent early warning feedback is carried out aiming at substandard vibrating process parameters, substandard vibrating coverage and substandard vibrating performance. According to the invention, the influence of the vibrating process parameters on the vibrating quality can be obtained, so that the intelligent monitoring of the vibrating quality of the panel concrete is realized.

Description

Technical Field

[0001] The invention belongs to the technical field of construction progress analysis, and in particular relates to a method for monitoring an artificial vibration process for continuous germ layer vibration of panel concrete. Background Art

[0002] Panel rockfill dam is the main type of rockfill dam at present. For example, Jinchuan, Maerdang, Lawa, Dashixia and other projects all use panel rockfill dam as water retaining structure. The quality of panel vibration is the key to ensure the quality control of anti-seepage body construction. At the same time, with the development of water conservancy and hydropower projects in my country, the core of current engineering construction is gradually developing towards high-cold and high-altitude areas. The construction environment in high-cold and high-altitude areas is harsh and the climatic conditions are complex. The efficiency of equipment and machinery is significantly reduced. At the same time, concrete faces a harsh working environment. How to ensure the intelligent control of concrete vibration quality in a complex and harsh environment is an important test faced by many projects at present.

[0003] Regarding the quality monitoring of concrete vibration, current research has mainly focused on the vibration of concrete dam projects or underground cavern concrete. At the same time, in terms of positioning technology, high-precision GPS positioning technology is mainly used for large-scale vibration machinery and equipment such as vibration trolleys, and intelligent perception is mainly based on UWB positioning technology for small manual vibrators. Limited by technical means, the positioning accuracy of manual vibration can only achieve decimeter-level positioning, and it is difficult to achieve centimeter-level high-precision positioning. In addition, existing research mainly monitors the vibration of concrete with limited germ layers (i.e., up to 6-9 layers). However, panel concrete construction mainly uses sliding formwork and continuous pouring for vibration operations. In this scenario, it is difficult to position small manual vibrators based on UWB technology. Therefore, the above method cannot be applied to the intelligent monitoring of manual vibration of continuous germ layer vibration operations of panel concrete. Summary of the invention

[0004] In order to solve the problem that the key technologies of concrete vibration quality monitoring in the prior art are difficult to adapt to the concrete vibration quality monitoring and analysis with continuous germ layer casting characteristics in high-cold and high-altitude areas, the present invention provides a process monitoring method for continuous germ layer vibration operation of panel concrete; based on the vibration process parameters, the intelligent prediction model of the vibrating rod coverage radius and the concrete performance index prediction model are integrated to predict the vibration coverage rate and concrete performance index.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A process monitoring method for continuous vibrating operation of concrete panels, through which the vibration range of a manual vibrator in continuous vibrating operation of concrete panels is analyzed, including a vibration test stage and an actual vibration operation stage, wherein:

[0007] During the vibration test phase:

[0008] Sensors are used to obtain the parameters of the manual vibrator during the vibration process, and the coverage radius of the concrete vibrator at different depths and durations is obtained through measurement. Test blocks are obtained by drilling and coring the vibrated concrete, and concrete performance index tests are carried out to obtain the concrete performance indexes at different depths and durations.

[0009] A vibrator coverage radius prediction model is constructed based on a neural network, and the vibrator process parameters are used as input and the vibrator coverage radius is used as output, and the vibrator coverage radius prediction model is trained; a concrete performance prediction model is constructed based on a neural network, and the model takes the concrete mixing process parameters and meteorological conditions as input and the corresponding panel concrete performance index as output, and the concrete performance prediction model is trained;

[0010] During the actual vibration operation stage:

[0011] A small high-precision positioning terminal and an inclination sensor are used to sense the vibration process parameters, so as to obtain the vibration process parameter sensing data including the real-time positioning of the vibration position and the insertion angle of the vibrating rod;

[0012] Based on the vibration process parameters, the vibration coverage rate and concrete performance index prediction are predicted by integrating the intelligent prediction model of the vibrating rod coverage radius and the concrete performance index prediction model;

[0013] An intelligent feedback model for the concrete vibration operation process is established to provide intelligent early warning feedback for the vibration process parameters including vibration depth, vibration duration, vibration coverage rate, and concrete performance during the vibration process.

[0014] In some embodiments, for the concrete pouring of a panel rockfill dam in a high-cold and high-altitude area with a continuous germ layer pouring feature, the vibration process parameters include at least the vibration position, the insertion depth of the vibration rod, and the vibration time.

[0015] In some embodiments, the concrete performance indicators include at least four indicators: compressive strength, tensile strength, impermeability grade and frost resistance grade.

[0016] In some embodiments, concrete cured according to curing conditions determined during the on-site construction period after the vibration test is cored, and various concrete performance index tests are performed.

[0017] In some embodiments, during the actual vibration operation stage, in view of the requirements and characteristics of concrete pouring control of panel rockfill dams in cold and high-altitude areas, a sensor terminal based on a small high-precision Beidou positioning technology is used to perform centimeter-level positioning of the vibrating rod, and an inclination sensor is used to sense the insertion angle of the vibrating rod.

[0018] In some embodiments, the vibration coverage calculation formula is as follows:

[0019]

[0020] Where n is the total number of germ layers, p i’ The vibrating coverage of the i' germ layer.

[0021] In some implementations, an early warning model for the degree of deviation of vibration process parameters is established, and the expression is as follows:

[0022]

[0023] Among them, R i is the actual vibration process parameter, D i is the design vibration process parameter, i is the vibration parameter number, div i It is the early warning intensity of vibration process parameters. It is the first warning level.

[0024] In some implementations, an early warning model is established for continuous variables such as concrete compressive strength and tensile strength, and the expression is as follows:

[0025]

[0026] Among them, S j To predict the tensile or compressive strength of concrete, D j is the tensile or compressive strength of the designed concrete, j is the performance parameter number, is the warning intensity of the continuity indicator, It is the second warning level.

[0027] In some implementations, an early warning model is established for discrete variables such as concrete impermeability grade and frost resistance grade, and the expression is as follows:

[0028]

[0029]

[0030] Among them, S i In order to predict the concrete impermeability and frost resistance, D i To design the concrete impermeability and frost resistance, j is the performance parameter number, is the warning intensity of discrete indicators, It is the third warning level.

[0031] In some embodiments, the warning level analysis is as follows:

[0032] If the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.2%, it is set to the first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.1%, but does not exceed 0.2%, it is set to the second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; if the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.05%, but does not exceed 0.1%, it is set to the third-level warning state, indicating that the current construction progress is slightly behind schedule, and whether the progress needs to be adjusted can be determined according to the actual construction situation;

[0033] If the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.1%, it is set to the first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.1%, but does not exceed -0.05%, it is set to the second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; if the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.05%, but does not exceed 0.02%, it is set to the third-level warning state, indicating that the current construction progress is slightly behind schedule, and whether the progress needs to be adjusted can be determined according to the actual construction situation;

[0034] If the deviation between the actual concrete permeability grade and frost resistance grade and the designed concrete permeability grade and frost resistance grade exceeds -0.1%, it is set to the first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual concrete permeability grade and frost resistance grade and the designed concrete permeability grade and frost resistance grade exceeds -0.1%, but does not exceed -0.05%, it is set to the second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; if the deviation between the actual concrete permeability grade and frost resistance grade and the designed concrete permeability grade and frost resistance grade exceeds -0.05%, but does not exceed 0.02%, it is set to the third-level warning state, indicating that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction situation.

[0035] Compared with the prior art, the beneficial technical effects of the present invention are as follows:

[0036] The present invention obtains the vibration position and insertion depth of an artificial vibrating rod during a vibration test, determines the coverage of the concrete vibrating rod under different depths and durations through experiments, and establishes a vibrating rod coverage prediction model using a neural network to achieve prediction of the vibrating rod coverage; in the vibration test stage, vibration operations are performed under different depths and vibration durations, and concrete performance indicators under different depths and durations are determined through test blocks, and a concrete performance indicator prediction model is established using a neural network to achieve prediction of concrete performance indicators; in the actual vibration operation stage, a small high-precision positioning terminal, an inclination sensor, etc. are used to perceive the vibration operation process parameters, and based on the vibration operation process parameters and various prediction models, real-time prediction and feedback of the vibration state, vibration coverage and vibration performance are achieved, thereby providing data support for feedback control of on-site construction progress. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 The present invention is a flowchart of a method for analyzing the vibration range of a manual vibrator rod used in continuous embryonic layer vibration of panel concrete in an embodiment of the present invention.

[0038] Figure 2 This is a composition diagram of an intelligent monitoring device for artificial vibration used for continuous germ layer vibration of panel concrete in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the embodiments of this specification more clear, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] The present invention provides a process monitoring method for continuous embryonic layer vibration of panel concrete, including but not limited to steps S101 to S105:

[0041] Step S101: In the vibration test phase, a sensor is used to obtain the vibration process parameters of the manual vibrator, and the coverage radius of the concrete vibrator under different parameters is measured by experimental means. At the same time, the concrete mixing process parameters and meteorological conditions are obtained to establish a vibrator coverage radius prediction model and a concrete performance prediction model;

[0042] It should be noted that the vibration process parameters of the manual vibrator include but are not limited to the vibration position, vibration depth, vibration duration, etc.; the coverage radius of the vibrator refers to the coverage range formed by taking the center line of the vibrator as the center and the area producing the effective vibration effect as the boundary;

[0043] As a possible implementation of step S101, vibration tests are performed for different vibration parameter combinations, and vibration process parameters are collected on-site; a vibration rod influence radius test is performed using means specified in the specification; and a vibration rod coverage radius prediction model is trained using a neural network.

[0044] Step S1011, where it should be noted that when conducting the vibration test, high-precision Beidou positioning technology is used to locate the vibration position in real time; a steel tape measure is used to measure the vibration depth; and the vibration duration is calculated according to the change in vibration depth. Wherein, it should be noted that the above parameters are collected in an automated manner and stored in the database;

[0045] Step S1012, where it should be noted that the vibrator coverage radius is determined by a thumbtack measurement method in the specification;

[0046] Step S1013, taking the vibration process parameters and the coverage radius of the vibration rod as a training set, inputting them into the neural network training model for training, and obtaining a trained prediction model for the coverage radius of the vibration rod;

[0047] Step S102: During the vibration test phase, vibration operations are performed under different depths and vibration durations, and concrete performance indicators under different depths and durations are determined by using test block tests. A vibration rod coverage radius prediction model is constructed based on a neural network, and the vibration process parameters are used as inputs and the vibration rod coverage radius is used as outputs. The vibration rod coverage radius prediction model is trained. A concrete performance prediction model is constructed based on a neural network, and the model uses concrete mixing process parameters and meteorological conditions as inputs and corresponding panel concrete performance indicators as outputs. The concrete performance prediction model is trained.

[0048] Among them, it should be noted that the performance indicators of panel rockfill dam concrete in high-cold and high-altitude areas include compressive strength, tensile strength, frost resistance index and impermeability index.

[0049] Step S103: During the actual vibration operation phase, a small high-precision positioning terminal, an inclination sensor, etc. are used to sense the vibration operation process parameters;

[0050] It should be noted that the equipment collection Figure 2 As shown. Among them, the small high-precision positioning terminal 1 simultaneously receives the satellite positioning data transmitted by the Beidou satellite 2 and the differential data transmitted by the differential base station 3 to achieve centimeter-level high-precision positioning. The small high-precision positioning terminal 1 is installed on the rigid body part 4-1 of the artificial vibrating rod 4; the inclination sensor 5 is installed on the rigid body part 4-1 of the artificial vibrating rod 4. The above data are all transmitted to the server 6 using the 4G network for solution.

[0051] Step S1031, it should be noted that the small high-precision positioning terminal 1 is powered by a battery, and is equipped with a Beidou satellite antenna, a data transmission antenna and a solution module, so as to achieve high-precision positioning. At the same time, the device is small in size and can be fixed to the rigid part of the manual vibrator 4;

[0052] Step S1032, where it should be noted that all sensors sense independently and transmit back to the server 6 using the wireless network, and the data is fused through timestamps and device codes;

[0053] Step S104, during the actual vibration operation stage, based on the vibration process data sensed in step S104, based on the vibration operation process parameters and the vibration rod coverage radius prediction model and the concrete performance index prediction model, real-time monitoring and prediction of vibration parameters, vibration coverage range and vibration performance are achieved, and vibration process monitoring and feedback are performed.

[0054] It should be noted that the calculation work in this stage is all done in the server 6, and no analysis is needed at the front end to meet the needs of miniaturization of front-end equipment. At the same time, the calculation content is divided into vibration depth analysis, vibration duration analysis, vibration coverage analysis, vibration process parameter warning, vibration coverage analysis and warning, and concrete performance analysis. It should be noted that the vibration depth analysis and vibration duration analysis are based on the results of high-precision satellite positioning perception. Specifically:

[0055] Step S1041, for the vibrating rod in the inserted state, record the insertion start time T1; for the vibrating rod in the working state, record the working start time T2; for the vibrating rod in the qualified state, record the working start time T3.

[0056] Step S1042: According to the time T1 and T2, obtain the current elevations H1 and H2 of the vibrating rod, so as to obtain the vibration depth D=H1-H2.

[0057] Step S1043, according to T2 and T3, the vibration duration T=T3-T2;

[0058] Step S1044: The vibration coverage rate is obtained based on the vibration influence radius and the vibration point analysis;

[0059] It should be noted that the vibration radius R is obtained by analyzing the vibration influence radius prediction model, vibration depth D, and vibration duration T obtained by vibration S101. According to the vibration point L, it can be determined whether each part of the germ layer warehouse surface is effectively vibrated, and the effective vibration area can be obtained:

[0060]

[0061] Among them, p iis the vibrating coverage rate of germ layer i, r i To vibrate at least once, S i is the area of ​​the vibration chamber. At the same time, considering the continuous vibration characteristics of the germ layer, the comprehensive coverage rate of multiple germ layers is calculated, as shown in formula (2):

[0062]

[0063] Where n is the total number of germ layers.

[0064] Step S1045, the vibration process parameter warning mainly includes the vibration depth, vibration duration, and vibration coverage rate warning. Because the above three indicators are all continuous indicators, the following formula can be used for warning:

[0065] An early warning model for the deviation degree of vibration process parameters is established, and the expression is as follows:

[0066]

[0067] Among them, R i is the actual vibration process parameter, D i is the design vibration process parameter, i is the vibration parameter number, div i is the early warning intensity of the vibration process parameters, that is, the degree of deviation between the actual vibration process parameters and the designed vibration process parameters. It is the first warning level.

[0068] Among them, it should be noted that if the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.2%, it is set to a first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.1%, but does not exceed 0.2%, it is a second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; if the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.05%, but does not exceed 0.1%, it is a third-level warning state, indicating that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction situation.

[0069] Step S1046, where it should be noted that the concrete performance warning is divided into compressive strength, tensile strength, impermeability and frost resistance. For compressive strength and tensile strength, which are continuous variables, an early warning model for continuous variables such as concrete compressive strength and tensile strength is established, and the expression is as follows:

[0070]

[0071] Among them, S j To predict the tensile or compressive strength of concrete, Dj is the tensile or compressive strength of the designed concrete, j is the performance parameter number, is the warning strength of the continuous index, that is, the deviation degree between the continuous variables such as the actual concrete compressive strength and tensile strength and the continuous variables such as the designed concrete compressive strength and tensile strength. It is the second warning level.

[0072] Among them, it should be noted that if the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.1%, it is set to a first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.1%, but does not exceed -0.05%, it is a second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; if the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.05%, but does not exceed 0.02%, it is a third-level warning state, indicating that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction situation.

[0073] Among them, the impermeability and frost resistance performance are discrete variables. An early warning model is established for discrete variables such as concrete impermeability grade and frost resistance grade. The expression is as follows:

[0074]

[0075] Among them, S i In order to predict the impermeability and frost resistance of concrete, D i To design the concrete impermeability and frost resistance, j is the performance parameter number, is the early warning intensity of discrete indicators, that is, the degree of deviation between discrete variables such as actual concrete impermeability grade and frost resistance grade and discrete variables such as designed concrete impermeability grade and frost resistance grade. It is the third warning level.

[0076] Among them, it should be noted that if the deviation between the actual concrete impermeability grade and frost resistance grade and the designed concrete impermeability grade and frost resistance grade exceeds -0.1%, it is set to the first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual concrete impermeability grade and frost resistance grade and the designed concrete impermeability grade and frost resistance grade exceeds -0.1%, but does not exceed -0.05%, it is set to the second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; if the deviation between the actual concrete impermeability grade and frost resistance grade and the designed concrete impermeability grade and frost resistance grade exceeds -0.05%, but does not exceed 0.02%, it is set to the third-level warning state, indicating that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction situation.

[0077] Among them, it should be noted that among the intermediate levels of the above warning classification, the first-level warning requires special attention and must ensure that rectification is in place; the second-level warning indicates that the current quality deviation is relatively large and needs to be adjusted in real time according to the situation.

[0078] It should be noted that, after obtaining the warning level, the construction progress graded warning model can push information to the construction supervisors to remind them to take timely response measures.

[0079] In an optional implementation of this embodiment, the method further includes:

[0080] The vibration process parameters and each early warning model parameter are stored in a basic database.

[0081] It should be noted that the construction of the basic database is mainly used to provide a data basis for vibration process analysis and early warning, etc., to avoid tedious data collection or acquisition process.

[0082] Embodiment 2

[0083] In a second aspect, the present invention provides a monitoring device computer equipment, comprising a memory, a processor and a transceiver which are communicatively connected in sequence, wherein the memory is used to store computer programs, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the method and device for analyzing the vibration range of an artificial vibrating rod for continuous germ layer vibration of panel concrete as described in any possible design of the first aspect.

[0084] In a third aspect, the present invention provides a computer-readable storage medium having instructions stored thereon. When the instructions are executed on a computer, a construction progress analysis method for a panel rockfill dam for use in cold and high-altitude areas is executed as described in any possible design of the first aspect.

[0085] In a fourth aspect, the present invention provides a computer program product comprising instructions, which, when executed on a computer, causes the computer to execute a construction progress analysis method for a panel rockfill dam in a high-cold and high-altitude area as described in any possible design of the first aspect.

[0086] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A process monitoring method for continuous embryonic layer vibration of panel concrete, characterized in that: This method is used to analyze the vibration range of the manual vibrator in the continuous layer vibration of the panel concrete, including the vibration test stage and the actual vibration operation stage, in which: During the vibration test phase: Sensors are used to obtain the parameters of the manual vibrator during the vibration process, and the coverage radius of the concrete vibrator at different depths and durations is obtained through measurement. Test blocks are obtained by drilling and coring the vibrated concrete, and concrete performance index tests are carried out to obtain the concrete performance indexes at different depths and durations. A vibrator coverage radius prediction model is constructed based on a neural network, and the vibrator process parameters are used as input and the vibrator coverage radius is used as output, and the vibrator coverage radius prediction model is trained; a concrete performance prediction model is constructed based on a neural network, and the model takes the concrete mixing process parameters and meteorological conditions as input and the corresponding panel concrete performance index as output, and the concrete performance prediction model is trained; During the actual vibration operation stage: A small high-precision positioning terminal and an inclination sensor are used to sense the vibration process parameters, so as to obtain the vibration process parameter sensing data including the real-time positioning of the vibration position and the insertion angle of the vibrating rod; Based on the vibration process parameters, the vibration rod coverage radius intelligent prediction model and the concrete performance index prediction model are integrated to predict the vibration coverage rate and concrete performance index; intelligent early warning feedback is provided for the vibration process parameters including vibration depth, vibration duration, vibration coverage rate and concrete performance during the vibration process.

2. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: For the concrete pouring of panel rockfill dams in high-altitude and cold regions with continuous germ layer pouring characteristics, the vibration process parameters include at least the vibration position, the insertion depth of the vibration rod and the vibration time.

3. A process monitoring method for continuous germ layer vibration of panel concrete according to claim 1, characterized in that: The concrete performance indicators include at least four indicators: compressive strength, tensile strength, impermeability grade and frost resistance grade.

4. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: The concrete that has been cured according to the curing conditions determined during the on-site construction period after the vibration test is cored and tested for various concrete performance indicators.

5. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: During the actual vibration operation stage, in view of the requirements and characteristics of concrete pouring control of panel rockfill dams in cold and high-altitude areas, a sensor terminal based on a small high-precision Beidou positioning technology is used to perform centimeter-level positioning of the vibrating rod, and an inclination sensor is used to sense the insertion angle of the vibrating rod.

6. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: in, The calculation formula of the vibration coverage is as follows: Where n is the total number of germ layers, p i’ The vibrating coverage of the i' germ layer.

7. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: An early warning model for the deviation degree of vibration process parameters is established, and the expression is as follows: Among them, R i is the actual vibration process parameter, D i is the design vibration process parameter, i is the vibration parameter number, div i It is the early warning intensity of vibration process parameters. It is the first warning level.

8. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: An early warning model for continuous variables such as concrete compressive strength and tensile strength is established, and the expression is as follows: Among them, S j To predict the tensile or compressive strength of concrete, D j is the tensile or compressive strength of the designed concrete, j is the performance parameter number, is the warning intensity of the continuity indicator, It is the second warning level.

9. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: Establish an early warning model for discrete variables such as concrete impermeability grade and frost resistance grade. The expression is as follows: Among them, S i In order to predict the impermeability and frost resistance of concrete, D i To design the concrete impermeability and frost resistance, j is the performance parameter number, is the warning intensity of discrete indicators, It is the third warning level.

10. A process monitoring method for continuous embryonic layer vibration of panel concrete according to claim 1, characterized in that: The warning level analysis is as follows: If the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.2%, it will be set to the first-level warning state, indicating that the current parameters are seriously deviated; If the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.1% but does not exceed 0.2%, it is a Level 2 warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; If the deviation between the actual vibration process parameters and the designed vibration process parameters exceeds 0.05% but does not exceed 0.1%, it is a level 3 warning state, indicating that the current construction progress is slightly behind schedule. Whether the progress needs to be adjusted can be determined based on the actual construction situation. If the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.1%, it will be set to the first level warning state, indicating that the current parameters are seriously deviated; If the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.1%, but does not exceed -0.05%, it is a second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; If the deviation between the actual concrete compressive strength and tensile strength and the designed concrete compressive strength and tensile strength exceeds -0.05% but does not exceed 0.02%, it is a Level 3 warning state, indicating that the current construction progress is slightly behind schedule. Whether the progress needs to be adjusted can be determined based on the actual construction situation. If the deviation between the actual concrete permeability and frost resistance grade and the designed concrete permeability and frost resistance grade exceeds -0.1%, it is set to the first-level warning state, indicating that the current parameters are seriously deviated; if the deviation between the actual concrete permeability and frost resistance grade and the designed concrete permeability and frost resistance grade exceeds -0.1%, but does not exceed -0.05%, it is set to the second-level warning state, indicating that there is a certain degree of deviation at present, and the progress can be adjusted according to the actual construction situation; If the deviation between the actual concrete impermeability grade and frost resistance grade and the designed concrete impermeability grade and frost resistance grade exceeds -0.05%, but does not exceed 0.02%, it will be a third-level warning state, indicating that the current construction progress is slightly behind schedule. Whether the progress needs to be adjusted can be determined based on the actual construction situation.

Images