Method for monitoring rising process of sliding formwork of concrete faced rockfill dam in high-cold and high-altitude area

Abstract

The invention discloses a concrete faced rockfill dam slip form rising process monitoring method for high-cold and high-altitude areas, which comprises the following steps: in a vibration test stage: in the test stage, acquiring meteorological parameters, vibration maintenance duration and concrete test block solidification state information, and constructing and training a concrete solidification state prediction model; in the construction stage, the real-time position and inclination angle of the slip form are sensed, and intelligent early warning is conducted in the rising process of the slip form according to the rising speed and inclination angle of the slip form; collecting meteorological conditions of a concrete pouring area by using a small meteorological collection device, and judging the solidification state of each blank layer at the current template position by combining with a concrete solidification state prediction model; and on the basis of the solidification state analysis result of each germ layer at the current template position and the real-time position sensing result of the slip form, template sliding starting condition analysis is carried out, real-time reminding is carried out, and then feedback control over the construction scheme is achieved. According to the invention, template sliding starting condition analysis can be carried out, and real-time reminding can be carried out, so that data support is provided for feedback control of a site construction process.

Description

Technical Field

[0001] The invention belongs to the technical field of construction progress analysis, and in particular relates to a method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high-altitude areas. Background Art

[0002] Due to its advantages such as small engineering volume, high construction efficiency and strong foundation adaptability, the panel rockfill dam has become an important dam type for current water conservancy and hydropower projects, especially for water retaining structures in high-cold and high-altitude areas, such as the Maldang, Lawa, Gushui and other projects. As the core component of water retaining, the construction quality of the concrete panel is the key to ensuring the long-term and stable operation of the project. In order to ensure the integrity and continuity of the concrete panel pouring, the current panel concrete pouring mainly adopts sliding formwork (hereinafter referred to as sliding formwork) for pouring. During the rising process of the sliding formwork, the rising speed and inclination are key control indicators, which directly affect the quality of concrete construction and operation safety. Therefore, how to comprehensively consider the concrete solidification process to monitor the sliding formwork rising process to ensure the quality and safety of on-site operations is an important test for the current panel rockfill dam project.

[0003] At present, the control of the sliding formwork rising process of the face rockfill dam is mainly carried out by manual regular measurement according to the specifications, which makes it difficult to ensure that the sliding formwork rising process is controlled. At the same time, the temperature in the high-altitude and cold areas is low, the climate environment is harsh, and the external environment directly affects the change of concrete maturity, thereby affecting the concrete solidification process and the sliding formwork rising speed. Therefore, the existing technical means cannot achieve effective control of the sliding formwork rising process. 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 method for monitoring the sliding formwork rising process of a face rockfill dam in cold and high altitude areas, comprising a test phase and a construction phase, wherein:

[0007] During the trial phase:

[0008] Obtain meteorological conditions, vibration curing time and setting state of concrete specimens;

[0009] A concrete solidification state prediction model is constructed based on a neural network, and the meteorological conditions in the concrete pouring area, the vibration curing time, and the solidification state of the concrete test block are used as inputs, and the concrete solidification state is used as output to train the concrete solidification state prediction model; the meteorological conditions, the vibration curing time, and the concrete test block solidification state training set are input into the neural network training model for training to obtain a trained concrete solidification state prediction model;

[0010] During the construction phase:

[0011] Based on high-precision Beidou positioning technology and high-precision tilt sensor technology, the real-time position and tilt angle of the sliding mode are sensed to obtain sensing data including the sliding mode rising speed and tilt angle;

[0012] According to the sliding form rising speed and the horizontal inclination angle of the template, a sliding form parameter early warning model is established to provide early warning of the sliding form rising process;

[0013] The meteorological conditions of the concrete pouring area are combined with the trained concrete solidification state prediction model to judge the solidification state of each germ layer at the current template position. Based on the solidification state analysis results of each germ layer at the current template position and the real-time position perception results of the sliding form, the template sliding start condition analysis is performed and real-time reminders are given.

[0014] In some embodiments, the meteorological conditions include at least temperature, humidity and rainfall.

[0015] In some embodiments, the vibration curing time t refers to the time calculated from the time point Ti when the vibration of germ layer i is completed.

[0016] In some embodiments, the analysis results of the solidification state of each germ layer at the current template position are divided into two categories: unsolidified and non-slidable and solidified and slidable.

[0017] In some embodiments, the top elevation H(t) of the sliding form is measured using high-precision Beidou positioning technology, and the horizontal inclination θ(t) of the template is measured using an inclination sensor, where t is the measurement time.

[0018] In some implementations, the sliding mode parameter early warning model includes:

[0019] i. Establish an early warning model for the deviation degree of sliding mode rising speed, the expression is as follows:

[0020] W v =f(v)

[0021] ii. Establish an early warning model for the horizontal inclination deviation of the template, the expression is as follows:

[0022] W θ =f(θ(t))

[0023] Where v is the sliding mode rising speed, Δt is the time interval, W v is the early warning intensity of the sliding mode rising speed index, W θ It is the warning intensity of the horizontal inclination of the template.

[0024] In some embodiments, if the sliding mode rising speed v or θ(t) is greater than a set threshold, an alarm is issued.

[0025] In some embodiments, if the result of the concrete solidification state analysis is that the concrete is solidified and can slide, a reminder is given to perform concrete slip form lifting.

[0026] Compared with the prior art, the beneficial technical effects of the present invention are as follows:

[0027] The present invention obtains meteorological parameters, vibration curing time and solidification state information of concrete test blocks during the test phase, inputs the meteorological parameters and the solidification state of the test blocks into a neural network, and trains to obtain a concrete solidification state prediction model based on meteorological factors; during the construction process, based on high-precision Beidou positioning technology and high-precision inclination sensing technology, the real-time position and inclination angle of the sliding form are perceived, and intelligent early warning of the sliding form rising process is performed according to the sliding form rising speed and inclination angle; a small meteorological collection device is used to collect meteorological parameters in the concrete pouring area, and the solidification state of each germ layer at the current template position is judged in combination with the concrete solidification state prediction model; based on the solidification state analysis results of each germ layer at the current template position and the real-time position perception results of the sliding form, the template sliding start condition analysis is performed, and real-time reminders are given, thereby providing data support for feedback control of the on-site construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is an overall flow chart of the method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] 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.

[0030] like Figure 1 As shown, the present invention provides a method for monitoring the sliding form rising process of a panel rockfill dam in cold and high altitude areas, including but not limited to steps S101 to S104:

[0031] Step S101: During the test phase, meteorological conditions, vibration curing time and the setting state of the concrete test block are obtained to construct a concrete setting state prediction model;

[0032] Among them, it should be noted that according to the characteristics of panel rockfill dams in high-altitude and cold areas, the meteorological conditions include but are not limited to temperature, humidity, and rainfall; the solidification state of concrete is divided into two categories: unsolidified and non-slidable, and solidified and slidable.

[0033] As a possible implementation of step S101, meteorological conditions and the solidification state of concrete test blocks are obtained, and the meteorological conditions and the solidification state of the on-site concrete are input into a neural network model, and a concrete solidification state prediction model based on meteorological factors is obtained through training, including:

[0034] Step S1011, it should be noted that due to the complex meteorological conditions in high-cold and high-altitude areas, according to the challenges faced by the panel rockfill dam project under high-cold and high-altitude conditions, different meteorological parameters will directly affect the on-site concrete solidification process. Therefore, a small meteorological station is used to obtain meteorological conditions, and a test block test is used to determine the solidification state under different conditions and different vibration curing time conditions;

[0035] Step S1012: constructing a concrete solidification state prediction model based on a neural network, taking meteorological conditions, vibration curing time and the solidification state of a concrete test block as inputs, and taking the solidification state of the concrete test block as output, and training the concrete solidification state prediction model; inputting the meteorological conditions, vibration curing time and the training set of the solidification state of the concrete test block into the neural network training model for training, and obtaining a trained concrete solidification state prediction model;

[0036] Step S102: During the construction process, based on the high-precision Beidou positioning technology and the high-precision inclination angle sensing technology, the real-time position and inclination angle of the sliding form are sensed, and the intelligent early warning of the sliding form rising process is designed according to the sliding form rising speed and inclination angle;

[0037] In an optional implementation of step S102, the top elevation of the sliding form H(t) is measured using high-precision Beidou positioning technology, where t is the measurement time. The horizontal inclination angle θ(t) of the template is measured using an inclination sensor. The vibration completion time Ti of the germ layer i is manually entered, including:

[0038] Step S1021: Install a high-precision Beidou positioning device and an inclination sensor on the top of the sliding form to realize intelligent perception of the sliding form state and obtain perception data including the sliding form rising speed and inclination angle;

[0039] Step S1022: Calculate the sliding form ascending speed according to the sliding form top elevation H(t), and the expression is as follows:

[0040] v=(H(t+Δt)-H(t)) / Δt (1)

[0041] Establish sliding mode parameter early warning model:

[0042] 1) Establish an early warning model for the deviation degree of sliding mode rising speed, the expression is as follows:

[0043] W v =f(v) (2)

[0044] 2) Establish an early warning model for the horizontal inclination deviation of the template, the expression is as follows:

[0045] W θ =f(θ(t)) (3)

[0046] Where v is the sliding mode rising speed, Δt is the time interval, W v is the early warning intensity of the sliding mode rising speed index, that is, the deviation between the actual sliding mode rising speed and the designed sliding mode rising speed, W θ is the warning intensity of the template horizontal inclination, that is, the deviation between the actual template horizontal inclination and the designed template horizontal inclination. If v or θ(t) is greater than the set threshold, an alarm is issued;

[0047] Step S103, using a small meteorological collection device to collect meteorological condition parameters in the concrete pouring area, combined with the pouring time, and combined with a concrete solidification state prediction model to determine the solidification state of each germ layer i at the current template position;

[0048] In an optional implementation of step S103, the solidification state of each germ layer within the current template coverage range is obtained based on the concrete solidification state prediction model, and on this basis, a reminder is given for the state of the bottom layer that meets the solidification conditions;

[0049] Step S104, according to the classification of the solidification state of the concrete test block, if the concrete solidification state is "solidified and slidable", a reminder is given to raise the concrete sliding form;

[0050] In an optional implementation of this embodiment, the method further includes:

[0051] The meteorological conditions, concrete solidification state, concrete slipform rising speed and inclination are stored in a basic database, and the meteorological parameters, vibration curing time, and test block solidification state information are input into a neural network model. The model can be trained using a BP neural network to establish a concrete solidification state prediction model based on meteorological factors.

[0052] Based on the above-disclosed content, during the test phase, meteorological parameters, vibration curing time and solidification state information of concrete test blocks are obtained, and the meteorological parameters and the solidification state of the test blocks are input into the neural network to train a concrete solidification state prediction model based on meteorological factors; during the construction process, based on the high-precision Beidou positioning technology and high-precision inclination sensing technology, the real-time position and inclination angle of the sliding form are perceived, and the intelligent early warning of the sliding form rising process is carried out according to the sliding form rising speed and inclination angle; the meteorological parameters of the concrete pouring area are collected by a small meteorological collection device, and the solidification state of each germ layer at the current template position is judged in combination with the concrete solidification state prediction model; based on the solidification state analysis results of each germ layer at the current template position and the real-time position perception results of the sliding form, the template sliding start condition analysis is carried out, and real-time reminders are given, thereby realizing feedback control of the construction plan.

[0053] 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 method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas, characterized in that: It is characterized in that It includes the test phase and the construction phase, in which: During the trial phase: Obtain meteorological conditions, vibration curing time and setting state of concrete specimens; A concrete solidification state prediction model is constructed based on a neural network, and the meteorological conditions in the concrete pouring area, the vibration curing time, and the solidification state of the concrete test block are used as inputs, and the concrete solidification state is used as output to train the concrete solidification state prediction model; the meteorological conditions, the vibration curing time, and the concrete test block solidification state training set are input into the neural network training model for training to obtain a trained concrete solidification state prediction model; During the construction phase: Based on high-precision Beidou positioning technology and high-precision tilt sensing technology, the real-time position and tilt angle of the sliding mode are sensed to obtain sensing data including the sliding mode rising speed and tilt angle; According to the sliding form rising speed and the horizontal inclination angle of the template, a sliding form parameter early warning model is established to provide early warning of the sliding form rising process; The meteorological conditions of the concrete pouring area are combined with the trained concrete solidification state prediction model to judge the solidification state of each germ layer at the current template position. Based on the solidification state analysis results of each germ layer at the current template position and the real-time position perception results of the sliding form, the template sliding start condition analysis is performed and real-time reminders are given.

2. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: The meteorological conditions include at least temperature, humidity and rainfall.

3. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: The vibration curing time t refers to the time calculated from the time point Ti when the vibration of germ layer i is completed.

4. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: The analysis results of the solidification states of each germ layer at the current template position are divided into two categories: unsolidified and non-slidable and solidified and slidable.

5. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: The high-precision Beidou positioning technology is used to measure the top elevation H(t) of the sliding form, and the inclination sensor is used to measure the horizontal inclination angle θ(t) of the template, where t is the measurement time.

6. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: The sliding mode parameter early warning model includes: i. Establish an early warning model for the deviation degree of sliding mode rising speed, the expression is as follows: W v =f(v) ii. Establish an early warning model for the horizontal inclination deviation of the template, the expression is as follows: W θ =f(θ(t)) Among them, v is the sliding mode rising speed, Δt is the time interval, Wv is the sliding mode rising speed indicator warning intensity, W θ It is the warning intensity of the horizontal inclination of the template.

7. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: If the sliding mode rising speed v or θ(t) is greater than the set threshold, an alarm will be issued.

8. The method for monitoring the sliding formwork rising process of a panel rockfill dam in cold and high altitude areas according to claim 1 is characterized in that: If the concrete solidification state analysis result shows that it has solidified and can slide, a reminder will be given to raise the concrete sliding form.

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