A method for process monitoring of panel concrete continuous mat vibrated work

Abstract

The application discloses a process monitoring method for panel concrete continuous embryo layer vibration compaction operation, comprising the following steps: in the vibration test stage: obtaining the artificial vibration rod vibration process parameter, and measuring the concrete vibration rod coverage radius under different parameter conditions by using a test method, meanwhile, obtaining the concrete mixing process parameter and the meteorological condition, and establishing the vibration rod coverage radius prediction model and the concrete performance prediction model; in the actual vibration compaction operation stage: based on the vibration compaction operation process parameter, fusing the vibration rod coverage radius intelligent prediction model and the concrete performance index prediction model, and performing the vibration compaction coverage rate and the concrete performance index prediction; and establishing the concrete vibration compaction operation process intelligent feedback model, and intelligently warning and feeding back the vibration process parameter, the vibration compaction coverage range and the vibration compaction performance which do not meet the requirements. The application can obtain the influence of the vibration process parameter on the vibration quality, so that the panel concrete vibration quality intelligent monitoring is realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of construction progress analysis, and particularly relates to a manual vibrating process monitoring method for panel concrete continuous embryo layer vibrating operation. BACKGROUND

[0002] The panel rock-fill dam is the main type of current rock-fill dams, and projects such as Jinchuan, Malcha, Lawa and Dashiqia all adopt the panel rock-fill dam as the water retaining structure, and the panel vibrating quality is the key to ensuring the construction quality control of the anti-seepage body. With the development of water conservancy and hydropower projects in China, 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 poor and the climate conditions are complex, and the equipment and machinery are obviously inefficient, and the concrete is also subjected to a poor working environment. Therefore, how to ensure the intelligent control of the vibrating quality of the concrete in a complex and poor environment is an important test for many current projects.

[0003] For concrete vibrating quality monitoring, current researches mainly focus on the vibrating of concrete dam projects or underground chamber concrete vibrating. Meanwhile, in the positioning technology aspect, high-precision GPS positioning technology is mainly used for large vibrating mechanical equipment such as vibrating trolleys, and small manual vibrating rods are mainly based on UWB positioning technology for intelligent sensing. Due to the limitation of technical means, the positioning accuracy of manual vibrating can only achieve decimeter-level positioning, and it is difficult to achieve centimeter-level high-precision positioning. In addition, the existing researches mainly monitor the vibrating of limited embryo layers (i.e. at most 6-9 layers). However, the panel concrete construction mainly adopts the sliding formwork and continuous pouring method for vibrating operation, and it is difficult to position the small manual vibrating rod based on the UWB technology in this scenario. Therefore, the above method cannot be applied to the intelligent monitoring of manual vibrating for panel concrete continuous embryo layer vibrating operation. SUMMARY

[0004] In order to solve the problem that the key technology of concrete vibrating quality monitoring in the prior art cannot adapt to the concrete vibrating quality monitoring and analysis of the continuous embryo layer pouring characteristics in high-cold and high-altitude areas, the application provides a process monitoring method for panel concrete continuous embryo layer vibrating operation; based on the vibrating process parameters, the vibrating coverage rate and the concrete performance index prediction are performed by fusing the vibrating rod coverage radius intelligent prediction model and the concrete performance index prediction model.

[0005] In order to achieve the above purpose, the application adopts the following technical scheme:

[0006] A process monitoring method for panel concrete continuous embryo layer vibrating operation, which is used for analyzing the vibrating range of the manual vibrating rod for panel concrete continuous embryo layer vibrating operation, including a vibrating test stage and an actual vibrating operation stage, wherein:

[0007] In the vibration test phase:

[0008] The sensor is used to obtain the vibration process parameters of the artificial vibrating rod, and the covering radius of the vibrating rod is obtained by measurement under different depths and time lengths. The test block is obtained by drilling and coring the vibrated concrete, and the concrete performance index test is performed to obtain the concrete performance index under different depths and time lengths.

[0009] A vibration rod covering radius prediction model is constructed based on a neural network, taking the vibration process parameters as input and the vibration rod covering radius as output, and the vibration rod covering radius prediction model is trained. A concrete performance prediction model is constructed based on a neural network, taking the concrete mixing process parameters and weather conditions as input and the corresponding panel concrete performance index as output, and the concrete performance prediction model is trained.

[0010] In the actual vibration operation phase:

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

[0012] Based on the vibration process parameters, the vibration rod covering radius intelligent prediction model and the concrete performance index prediction model are fused to predict the vibration coverage and the concrete performance index.

[0013] An intelligent feedback model for the concrete vibration operation process is established, and intelligent early warning feedback is performed for the vibration process parameters including the vibration depth, the vibration time length, the vibration coverage, and the concrete performance during the vibration process.

[0014] In some embodiments, for the concrete pouring of the high-altitude high-cold region panel dam with continuous embryo layer pouring characteristics, the vibration process parameters at least include the vibration position, the vibration rod insertion depth, and the vibration time length.

[0015] In some embodiments, the concrete performance index at least includes four indexes of compressive strength, tensile strength, impermeability grade, and frost resistance grade.

[0016] In some embodiments, the concrete that is cured under the curing conditions determined according to the site construction period after the vibration test is cored and the concrete performance index test is performed.

[0017] In some embodiments, in the actual vibration operation phase, for the concrete pouring control requirements and characteristics of the high-altitude high-cold region panel dam, a sensor terminal based on small high-precision Beidou positioning technology is used to perform centimeter-level positioning of the vibration rod position, and an inclination sensor is used to sense the vibration rod insertion angle.

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

[0019]

[0020] wherein n is the total number of embryo layers, p i’ is the vibration coverage of the i' embryo layer.

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

[0022]

[0023] wherein R i is the actual vibration process parameter, D i is the design vibration process parameter, i is the vibration parameter sequence number, div i is the vibration process parameter warning intensity, is the first warning level.

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

[0025]

[0026] wherein S j is the predicted tensile or compressive strength of concrete, D j is the design tensile or compressive strength of concrete, j is the performance parameter sequence number, is the continuous index warning intensity, is the second warning level.

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

[0028]

[0029]

[0030] wherein S i is the predicted impermeability and frost resistance of concrete, D i is the design impermeability and frost resistance of concrete, j is the performance parameter sequence number, is the discrete index warning intensity, is the third warning level.

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

[0032] If the deviation degree of the actual vibration process parameter from the design vibration process parameter exceeds 0.2%, the first-level early warning state is set, which indicates that the current parameter is seriously deviated; if the deviation degree of the actual vibration process parameter from the design vibration process parameter exceeds 0.1% but does not exceed 0.2%, the second-level early warning state is set, which indicates that the current has a certain degree of deviation, and the progress adjustment can be made according to the actual construction condition; if the deviation degree of the actual vibration process parameter from the design vibration process parameter exceeds 0.05% but does not exceed 0.1%, the third-level early warning state is set, which indicates that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction condition.

[0033] If the deviation degree of the actual concrete compressive strength and tensile strength from the design concrete compressive strength and tensile strength exceeds -0.1%, the first-level early warning state is set, which indicates that the current parameter is seriously deviated; if the deviation degree of the actual concrete compressive strength and tensile strength from the design concrete compressive strength and tensile strength exceeds -0.1% but does not exceed -0.05%, the second-level early warning state is set, which indicates that the current has a certain degree of deviation, and the progress adjustment can be made according to the actual construction condition; if the deviation degree of the actual concrete compressive strength and tensile strength from the design concrete compressive strength and tensile strength exceeds -0.05% but does not exceed 0.02%, the third-level early warning state is set, which indicates that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction condition.

[0034] If the deviation degree of the actual concrete impermeability grade and frost resistance grade from the design concrete impermeability grade and frost resistance grade exceeds -0.1%, the first-level early warning state is set, which indicates that the current parameter is seriously deviated; if the deviation degree of the actual concrete impermeability grade and frost resistance grade from the design concrete impermeability grade and frost resistance grade exceeds -0.1% but does not exceed -0.05%, the second-level early warning state is set, which indicates that the current has a certain degree of deviation, and the progress adjustment can be made according to the actual construction condition; if the deviation degree of the actual concrete impermeability grade and frost resistance grade from the design concrete impermeability grade and frost resistance grade exceeds -0.05% but does not exceed 0.02%, the third-level early warning state is set, which indicates that the current construction progress is slightly behind, and whether the progress adjustment is needed can be judged according to the actual construction condition.

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

[0036] The application realizes the prediction of the vibrating rod coverage range by obtaining the vibrating position and insertion depth of the artificial vibrating rod in the vibrating test process, determining the vibrating rod coverage range of the concrete under different depths and time lengths by the test, and establishing a vibrating rod coverage range prediction model by using a neural network; in the vibrating test stage, the vibrating operation under different depths and vibrating time lengths is carried out, the performance indexes of the concrete under different depths and time lengths are determined by the test block test, a concrete performance index prediction model is established by using a neural network, and the concrete performance index prediction is realized; in the actual vibrating operation stage, the vibrating operation process parameters are sensed by using a small high-precision positioning terminal, an inclination sensor and the like, the vibrating state, the vibrating coverage range and the vibrating performance are predicted and fed back in real time based on the vibrating operation process parameters and the prediction models, so as to provide data support for the feedback control of the site construction progress. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 The flow chart of the artificial vibrating rod vibrating range analysis method for the panel concrete continuous layer vibrating operation in the embodiment of the application.

[0038] Figure 2 The composition diagram of the artificial vibrating intelligent monitoring device for the panel concrete continuous layer vibrating operation in the embodiment of the application. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0040] The present application provides a process monitoring method for the panel concrete continuous layer vibrating operation, which includes but is not limited to the steps S101-S105.

[0041] In step S101, in the vibrating test stage, the sensor is used to obtain the artificial vibrating rod vibrating process parameters, the vibrating rod coverage radius under different parameters is measured by using the test means, the concrete mixing process parameters and the weather conditions are obtained, the vibrating rod coverage radius prediction model and the concrete performance prediction model are established;

[0042] It should be noted that the artificial vibrating rod vibrating process parameters include but are not limited to the vibrating position, the vibrating depth, the vibrating time length and the like; the vibrating rod coverage radius refers to the coverage range formed by taking the center line of the vibrating rod as the center and taking the effective vibrating effect area as the boundary;

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

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

[0045] Step S1012, wherein it should be noted that the vibration rod coverage radius is determined in the specification using a thumbtack measurement method;

[0046] Step S1013, inputting the vibration process parameters and the vibration rod coverage radius into the neural network training model for training to obtain a trained vibration rod coverage radius prediction model;

[0047] Step S102, in the vibration test phase, vibration operations are performed under different depths and vibration durations, and the concrete performance indicators under different depths and durations are determined using test block tests, a vibration rod coverage radius prediction model is constructed based on a neural network, with vibration process parameters as inputs and vibration rod coverage radius as outputs, and the vibration rod coverage radius prediction model is trained; a concrete performance prediction model is constructed based on a neural network, with concrete mixing process parameters and weather conditions as inputs and corresponding panel concrete performance indicators as outputs, and the concrete performance prediction model is trained;

[0048] It should be noted that the concrete performance indicators of the face rockfill dam in the high-cold and high-altitude region include compressive strength, tensile strength, frost resistance index, and permeability resistance index.

[0049] Step S103, in 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 device collects data as shown in Figure 2 The small high-precision positioning terminal 1 receives satellite positioning data transmitted by the Beidou satellite 2 and differential data transmitted by the differential base station 3 at the same time, realizes centimeter-level high-precision positioning, and is installed on the rigid part 4-1 of the artificial vibration rod 4; the inclination sensor 5 is installed on the rigid part 4-1 of the artificial vibration rod 4. The above data are transmitted to the server 6 through the 4G network for calculation.

[0051] Step S1031, wherein the small high-precision positioning terminal 1 is powered by a battery, is provided with a Beidou satellite antenna, a data transmission antenna and a solving module, and can realize high-precision positioning. Meanwhile, the device is small in size and can be fixed to the rigid body part of the manual vibrator 4;

[0052] Step S1032, wherein all the sensors independently perceive and transmit data back to the server 6 through a wireless network, and the data is fused through time stamping and device coding;

[0053] Step S104, in the actual vibration operation stage, based on the vibration process data perceived in step S104, based on the vibration operation process parameters and the vibration rod coverage radius prediction model, the concrete performance index prediction model, the real-time vibration parameters, the vibration coverage range and the vibration performance real-time monitoring and prediction are realized, and the vibration process monitoring and feedback are carried out.

[0054] Wherein, it needs to be explained that the calculation in this stage is all calculated in the server 6, and there is no need to analyze in the front end to meet the miniaturization demand of the front-end device. At the same time, the calculation content is divided into vibration depth analysis, vibration time length analysis, vibration coverage rate analysis, vibration process parameter early warning, vibration coverage rate analysis and early warning, and concrete performance analysis. Wherein, it needs to be explained that the vibration depth analysis and the vibration time length analysis are based on the high-precision satellite positioning perception results for analysis, specifically:

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

[0056] Step S1042, according to T1, T2 time, get the current elevation H1 and H2 of the vibrator, so as to get the vibration depth D = H1-H2.

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

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

[0059] Wherein, it needs to be specially explained that the vibration influence radius prediction model obtained according to the vibration S101 analysis, the vibration depth D, the vibration time T analysis, and the vibration radius R are obtained. According to the vibration point L, it can be obtained whether each part of the embryo layer warehouse surface is effectively vibrated, and the effective vibration area is obtained:

[0060]

[0061] Wherein, p iis the i-embryo layer vibration coverage rate, r i is at least once, S i is the vibration area of the warehouse surface. At the same time, considering the continuous vibration characteristics of the embryo layer, the comprehensive coverage rate of multiple embryo layers is calculated, as shown in formula (2):

[0062]

[0063] Wherein, n is the total number of embryo layers.

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

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

[0066]

[0067] Wherein, R i is the actual vibration process parameter, D i is the design vibration process parameter, i is the vibration parameter serial number, div i is the vibration process parameter warning intensity, that is, the deviation degree of the actual vibration process parameter and the design vibration process parameter, is the first warning level.

[0068] It should be noted that if the deviation degree of the actual vibration process parameter and the design vibration process parameter exceeds 0.2%, it is set to the first warning state, indicating that the current parameter deviates seriously; if the deviation degree of the actual vibration process parameter and the design vibration process parameter exceeds 0.1%, but does not exceed 0.2%, it is the second warning state, indicating that there is a certain degree of deviation, which can be adjusted according to the actual construction progress; if the deviation degree of the actual vibration process parameter and the design vibration process parameter exceeds 0.05%, but does not exceed 0.1%, it is the third warning state, indicating that the current construction progress is slightly behind, which can be judged whether it needs to be adjusted according to the actual construction progress.

[0069] Step S1046, wherein, it should be noted that the concrete performance warning is divided into compressive strength, tensile strength, impermeability and frost resistance. Among them, for the compressive strength and tensile strength, it is a continuous variable, and the warning model for the continuous variable of the compressive strength and tensile strength of the concrete is established, and the expression is as follows:

[0070]

[0071] Wherein, S j is the predicted tensile or compressive strength of the concrete, Dj For the design of concrete tensile or compressive strength, j is the performance parameter sequence number, For the continuity index early warning strength, the deviation degree of the actual concrete compressive strength and tensile strength and the design of concrete compressive strength and tensile strength, For the second early warning level.

[0072] It should be noted that if the deviation degree of the actual concrete compressive strength and tensile strength and the design of concrete compressive strength and tensile strength exceeds-0.1%, it is set as a first early warning state, indicating that the current parameters are seriously deviated; If the deviation degree of the actual concrete compressive strength and tensile strength and the design of concrete compressive strength and tensile strength exceeds-0.1%, but does not exceed-0.05%, it is a second early warning state, indicating that there is a certain degree of deviation, which can be adjusted according to the actual construction progress; If the deviation degree of the actual concrete compressive strength and tensile strength and the design of concrete compressive strength and tensile strength exceeds-0.05%, but does not exceed 0.02%, it is a third early warning state, indicating that the current construction progress is somewhat behind, which can be judged according to the actual construction progress whether it needs to be adjusted.

[0073] Wherein for the impermeability and frost resistance, it belongs to discrete variable, the early warning model for concrete impermeability grade, frost resistance grade and other discrete variables is established, the expression is as follows:

[0074]

[0075] Among them, S i For the prediction of concrete impermeability and frost resistance, D i For the design of concrete impermeability and frost resistance, j is the performance parameter sequence number, For the discrete index early warning strength, the deviation degree of the actual concrete impermeability grade, frost resistance grade and other discrete variables and the design of concrete impermeability grade, frost resistance grade and other discrete variables, For the third early warning level.

[0076] It should be noted that if the deviation degree of the actual concrete impermeability grade and the frost resistance grade from the design concrete impermeability grade and the frost resistance grade exceeds-0.1%, it is set as a first-level early warning state, indicating that the current parameters are seriously deviated; if the deviation degree of the actual concrete impermeability grade and the frost resistance grade from the design concrete impermeability grade and the frost resistance grade exceeds-0.1% but does not exceed-0.05%, it is a second-level early warning state, indicating that there is a certain degree of deviation, and the progress can be adjusted according to the actual construction situation; if the deviation degree of the actual concrete impermeability grade and the frost resistance grade from the design concrete impermeability grade and the frost resistance grade exceeds-0.05% but does not exceed 0.02%, it is a third-level early warning state, indicating that the current construction progress is slightly behind, and whether the progress needs to be adjusted can be determined according to the actual construction situation.

[0077] It should be noted that in the middle level of the above early warning classification, for the first-level early warning, attention should be paid and the rectification should be ensured; for the second-level early warning, the current quality deviation is relatively large, and real-time adjustment needs to be made according to the situation.

[0078] It should be noted that after the construction progress classification early warning model obtains the early warning level, information can be pushed to the construction supervision personnel to remind the construction supervision personnel to take timely countermeasures.

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

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

[0081] It should be noted that the basic database is constructed, mainly for providing a data basis for vibration process analysis and early warning, avoiding a tedious data collection or acquisition process.

[0082] Embodiment two

[0083] In a second aspect, the application provides a set of monitoring device computer equipment, including a memory, a processor and a transceiver connected in sequence, wherein the memory is used to store a computer program, the transceiver is used to receive and send messages, and the processor is used to read the computer program and execute the artificial vibration rod vibration range analysis method and device for panel concrete continuous mat vibration operation as described in any one of the possible designs of the first aspect.

[0084] In a third aspect, the application provides a computer readable storage medium, and the computer readable storage medium stores instructions, when the instructions run on a computer, execute the construction progress analysis method for a face rockfill dam in an alpine high-altitude area as described in any one of the possible designs of the first aspect.

[0085] In a fourth aspect, the present application provides a computer program product comprising instructions which, when executed on a computer, cause the computer to carry out the method for construction progress analysis of a CFRD in high-cold and high-altitude areas according to any possible design of the first aspect.

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

Claims

1. A method for process monitoring of a panel concrete continuous mat screed operation, characterized by, The artificial vibrating rod vibrating range analysis is performed on the panel concrete continuous layer vibrating operation by the method, including a vibrating test phase and an actual vibrating operation phase, wherein: In the vibrating test phase: The sensor is used to obtain the artificial vibrating rod vibrating process parameters, and the vibrating rod coverage radius is obtained under different depths and time lengths by measurement; the test block is obtained by drilling and coring the vibrated concrete, and the concrete performance index test is performed to obtain the concrete performance index under different depths and time lengths; A vibrating rod coverage radius prediction model is constructed based on a neural network, taking the vibrating process parameters as input and the vibrating rod coverage radius as output, and the vibrating rod coverage radius prediction model is trained; a concrete performance prediction model is constructed based on a neural network, taking the concrete mixing process parameters and weather conditions as input and the corresponding panel concrete performance index as output, and the concrete performance prediction model is trained; In the actual vibrating operation phase: A small high-precision positioning terminal and an inclination sensor are used to sense the vibrating process parameters to obtain vibrating position real-time positioning and vibrating rod insertion angle; Based on the vibrating process parameters, the vibrating coverage rate and the concrete performance index are predicted by fusing the vibrating rod coverage radius intelligent prediction model and the concrete performance index prediction model; intelligent early warning feedback is performed on the vibrating process parameters including vibrating depth, vibrating time length, vibrating coverage rate and concrete performance during vibrating.

2. A process monitoring method for panel concrete continuous mat construction operations according to claim 1, characterized in that, The vibrating process parameters include at least vibrating position, vibrating rod insertion depth and vibrating time length for the concrete pouring of the panel rock-fill dam in the high-cold and high-altitude region with continuous layer pouring characteristics.

3. A process monitoring method for panel concrete continuous mat construction operations as claimed in claim 1 wherein, The concrete performance index includes at least compressive strength, tensile strength, impermeability grade and frost resistance grade.

4. A process monitoring method for panel concrete continuous mat construction operations as claimed in claim 1 wherein, The concrete after the vibrating test is maintained under the maintenance conditions determined according to the construction period on site, cored and tested for each concrete performance index.

5. A process monitoring method for panel concrete continuous mat construction operations as claimed in claim 1 wherein, In the actual vibrating operation phase, the sensor terminal based on the small high-precision Beidou positioning technology is used for centimeter-level positioning of the vibrating rod position, and the inclination sensor is used for sensing the vibrating rod insertion angle, according to the concrete pouring control requirements and characteristics of the panel rock-fill dam in the high-cold and high-altitude region.

6. A process monitoring method for panel concrete continuous mat construction operations as claimed in claim 1 wherein, The vibrating coverage rate calculation formula is as follows: An early warning model for the vibrating process parameter deviation degree is established, and the expression is as follows: where n is the total number of layers, p i’ is the i' layer's vibrated coverage.

7. A process monitoring method for panel concrete continuous mat construction operations as claimed in claim 1 wherein, An early warning model for the continuous variables such as concrete compressive strength and tensile strength is established, and the expression is as follows: Wherein, R i is the actual vibration process parameter, D i is the design vibration process parameter, i is the vibration parameter serial number, div i is the vibration process parameter early warning intensity, is the first early warning level.

8. A process monitoring method for panel concrete continuous mat construction operations according to claim 1, characterized in that, An early warning model for the discrete variables such as concrete impermeability grade and frost resistance grade is established, and the expression is as follows: S j D j j is the performance parameter serial number, is the continuity index early warning strength, is the second early warning level.

9. A process monitoring method for panel concrete continuous mat construction operations according to claim 1, characterized in that, The early warning level analysis is as follows: S i D i j for the third early warning level.​ 10. A process monitoring method for panel concrete continuous mat construction operations as claimed in claim 1 wherein, If the deviation degree of the actual vibrating process parameters from the design vibrating process parameters exceeds 0.2%, it is set as a first-level early warning state, indicating that the current parameters are seriously deviated; If the deviation degree of the actual vibrating process parameters from the design vibrating process parameters exceeds 0.1% but does not exceed 0.2%, it is a second-level early warning state, indicating that there is a certain degree of deviation, which can be adjusted according to the actual construction progress. ​ If the deviation of the actual vibration process parameters from the designed vibration process parameters exceeds 0.05%, but does not exceed 0.1%, it is a third-level early warning state, indicating that the current construction progress is slightly behind, and whether progress adjustment is needed can be determined according to the actual construction situation; If the deviation of the actual concrete compressive strength and tensile strength from the designed concrete compressive strength and tensile strength exceeds -0.1%, it is a first-level early warning state, indicating that the current parameters are seriously deviated; If the deviation of the actual concrete compressive strength and tensile strength from the designed concrete compressive strength and tensile strength exceeds -0.1%, but does not exceed -0.05%, it is a second-level early warning state, indicating that there is a certain degree of deviation, and progress adjustment can be made according to the actual construction situation; If the deviation of the actual concrete compressive strength and tensile strength from the designed concrete compressive strength and tensile strength exceeds -0.05%, but does not exceed 0.02%, it is a third-level early warning state, indicating that the current construction progress is slightly behind, and whether progress adjustment is needed can be determined according to the actual construction situation; If the deviation of the actual concrete permeability grade and frost resistance grade from the designed concrete permeability grade and frost resistance grade exceeds -0.1%, it is a first-level early warning state, indicating that the current parameters are seriously deviated; If the deviation of the actual concrete permeability grade and frost resistance grade from the designed concrete permeability grade and frost resistance grade exceeds -0.1%, but does not exceed -0.05%, it is a second-level early warning state, indicating that there is a certain degree of deviation, and progress adjustment can be made according to the actual construction situation; If the deviation of the actual concrete permeability grade and frost resistance grade from the designed concrete permeability grade and frost resistance grade exceeds -0.05%, but does not exceed 0.02%, it is a third-level early warning state, indicating that the current construction progress is slightly behind, and whether progress adjustment is needed can be determined according to the actual construction situation.

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