CN-121995743-A - Bullet-reducing and viscosity-increasing construction control method for high-cold high-altitude areas

CN121995743ACN 121995743 ACN121995743 ACN 121995743ACN-121995743-A

Abstract

The invention discloses a bullet-reducing and viscosity-increasing construction control method for a high-cold high-altitude area, which relates to the technical field of building construction and comprises the steps of constructing an environment and material adaptability basic data set, dividing a construction scene, generating a dynamic corresponding relation library of control points and three-low-one-high parameters, constructing a multi-dimensional dynamic monitoring sequence, setting a differential abnormal judgment standard by combining sequence data and carrying out grading early warning, introducing a BP neural network to construct an environment material coupling correction model for carrying out deviation analysis, generating optimal construction parameters, collecting test construction quality detection data, verifying parameter suitability by combining the detection data, establishing a parameter dynamic iteration mechanism, and periodically integrating new data with process experience optimization parameters and the corresponding relation library. According to the invention, by combining multidimensional environment data, BIM technology and intelligent optimization algorithm, the dynamic monitoring and self-adaptive adjustment of the construction materials and environment suitability in the high-cold high-altitude area are realized, and the construction quality and efficiency are improved.

Inventors

FAN JINJIANG
ZHANG WEI
LUO DEQIANG
DAI WEI
BAI MIN
LIU DOUDOU
YANG HAN
ZHAO KAIHONG

Assignees

中交第二公路工程局有限公司

Dates

Publication Date: 20260508
Application Date: 20251204

Claims (9)

1. A bullet-reducing and viscosity-increasing construction control method for high-cold high-altitude areas is characterized by comprising the following specific control method processes: S1, constructing a three-low-one-high adaptability standard, acquiring multi-dimensional environment standard data by adopting a combination mode of a fixed monitoring station and a mobile monitoring terminal, marking core parameter characteristics, and constructing an environment and material adaptability basic data set; S2, calibrating a scene-dividing key control point, dividing a construction scene based on an environment and material adaptability basic data set, and generating a dynamic corresponding relation library of the control point and three low and one high parameters; S3, real-time dynamic monitoring and abnormality early warning are carried out, environment dynamic data of a construction area and material bullet-reducing and viscosity-increasing performance parameters are captured in real time, the data are preprocessed by adopting an edge computing technology, a multi-dimensional dynamic monitoring sequence is constructed, and differential abnormality judgment standards are set by combining sequence data and grading early warning is carried out; S4, correcting the environment and material coupling parameters, based on dynamic monitoring sequence data, introducing a BP neural network to construct an environment material coupling correction model for deviation analysis, outputting an initial correction value, and performing secondary optimization by adopting a multi-objective optimization algorithm to generate optimal construction parameters; S5, construction effect verification and parameter iteration are carried out, typical standard section field test construction is carried out based on optimal construction parameters, test construction quality detection data are collected, parameter suitability is verified by combining the detection data, a parameter dynamic iteration mechanism is established, and newly-added data, process experience optimization parameters and a corresponding relation library are integrated regularly.
2. The method for controlling the bullet-reducing and viscosity-increasing construction in the high-cold high-altitude area according to claim 1, wherein the three-low-one-high adaptability standard construction process comprises the following steps: Determining a data acquisition range and test conditions, covering different altitudes and different low-temperature environments, adopting a combination mode of a fixed monitoring station and a mobile monitoring terminal to acquire multidimensional environment reference data of air temperature, air pressure, air speed, ultraviolet intensity and day-night temperature difference, and carrying out viscosity and elastic modulus performance tests on the bullet-reducing tackifying material under different environment gradients; And (3) according to the corresponding relation between the environmental parameters and the material performance, arranging test data, defining three low-one high reference ranges of low cement consumption, low slurry-bone ratio, low separation degree and high air content, checking the arranged data, constructing a basic data set, and establishing a quarternary update mechanism.
3. The method for controlling the bullet-reducing and viscosity-increasing construction in the high-cold high-altitude area according to claim 2, wherein in the construction process of a basic data set, aiming at a construction scene with a specific intensity level, the method introduces the silica fume slurry to strengthen the adaptability, replaces cement with solid silica fume in an equivalent amount, synchronously monitors the ratio of a plurality of performance indexes of the doped material, and adopts a performance index ratio calculation formula: in the formula, Is the ratio of the performance indexes of the materials, To obtain the index value of the material performance after the silica fume is doped, The index value of the material performance of the reference group without silica fume.
4. The method for controlling the bullet reducing and tackifying construction in the high-cold high-altitude area according to claim 1, wherein the calibration process of the scene-dividing key control points is as follows: Dividing a typical construction field with extremely low temperature, strong wind, high radiation and freeze thawing cycle based on a basic data set, constructing a construction simulation platform by adopting a BIM technology, importing the basic data set and construction process parameters, monitoring the quality states of core processes of stirring, paving, rolling and solidifying materials in real time, and recording parameter response data under each process; And screening key control points of each scene through simulation test data, wherein the key control points comprise material preheating temperature, stirring rotating speed and time, paving thickness and speed, rolling pressure and times and maintenance modes, acquiring adaptation requirements of the key control points under different scenes, storing scene types, environment thresholds, control points and optimal parameter information in an associated mode, and establishing a structural corresponding relation library.
5. The method for controlling the bullet-reducing and viscosity-increasing construction in the high-cold high-altitude area according to claim 1, wherein the real-time dynamic monitoring and abnormality early warning process comprises the following steps: The method comprises the steps of depending on a global environment material integrated monitoring network, increasing the environment data acquisition frequency to be once every fifteen minutes, installing sensors at key construction nodes of a mixing station and paving equipment, monitoring material temperature, viscosity, compactness and elastic modulus core performance parameters in real time, carrying out noise reduction and screening pretreatment on the acquired real-time data by adopting an edge computing technology, constructing a dynamic monitoring sequence, determining normal thresholds of all parameters based on a basic data set, carrying out early warning when the parameters exceed standards, and synchronously marking abnormal nodes and associating historical data.
6. The method for controlling the bullet-reducing and viscosity-increasing construction of the high-cold high-altitude area according to claim 5, wherein the method is characterized in that maintenance temperature and humidity special monitoring is additionally arranged for construction scenes with altitudes of 3500 meters and above, and a continuous steam maintenance mode of a heat preservation shed is adopted to monitor temperature fluctuation, temperature dip and humidity change during maintenance.
7. The method for controlling the bullet-reducing and viscosity-increasing construction in the high-cold high-altitude area according to claim 1, wherein the environmental material coupling parameter correction process is as follows: Constructing an environment material coupling correction model, wherein input variables are environment and material performance parameters in dynamic monitoring data, output variables are construction parameter correction coefficients, training by adopting a BP neural network algorithm, inputting a dynamic monitoring sequence into the model, and comparing the dynamic monitoring sequence with basic data set reference data to obtain parameter deviation values; introducing a model prediction deviation calculation formula: in the formula, In order to predict the rate of deviation, the method comprises, For the predicted value output by the model, For actual monitoring of the obtained true value Introducing an initial correction value calculation formula to carry out correction: in the formula, As an initial correction value, a correction value is applied, As a reference value for the base data set, As a result of the value of the deviation, Correction coefficients for the model output; And calculating an initial correction value by combining three low-high parameter constraints, adopting a multi-objective optimization algorithm to perform secondary optimization with the aim of optimizing construction quality and minimizing cost, wherein the optimized parameters are required to meet the core requirements of low separation degree and high air content, and finally outputting the optimal construction parameters and an optimization report.
8. The method for controlling the bullet-reducing and viscosity-increasing construction of the high-cold high-altitude area according to claim 7, wherein the coupling correction model adopts a gradient descent method to optimize iteration, and an iteration formula is as follows: in the formula, Is that The parameters of the time-of-day model, Is that The parameters of the time-of-day model, In order for the rate of learning to be high, At the objective function The gradient of the position, each time one construction standard section is completed, monitoring data is collected, and an optimized sample set is constructed by correcting parameters and quality detection results; Introducing a model average deviation rate calculation formula: in the formula, In order to achieve an average deviation rate of the values, For the number of samples to be taken, Is the first The predicted value of a sample is used to determine, Is the first True value of each sample, if And (3) satisfying the optimization conditions, supplementing the latest test and construction data to adjust network parameters, replacing the original model after verifying that the deviation rate of the set reaches the standard, and establishing an optimization archive record adjustment process.
9. The method for controlling the bullet-reducing and viscosity-increasing construction in the high-cold high-altitude area according to claim 1, wherein the construction effect verification and parameter iteration process is as follows: The method comprises the steps of testing optimal parameters in typical standard segment entity construction, monitoring the bullet reducing and tackifying effects and the cracking resistance of concrete, and mainly verifying a plurality of core performance indexes of the cured material; And (3) comprehensively combing the construction parameters and the corresponding relation library every half year, integrating newly-added scene data and process improvement experience, eliminating the over-time parameters, forming the plateau bullet-reducing and viscosity-increasing construction quality improvement result, and realizing dynamic iterative optimization of the parameters.

Description

Bullet-reducing and viscosity-increasing construction control method for high-cold high-altitude areas Technical Field The invention relates to the technical field of building construction, in particular to a bullet-reducing and viscosity-increasing construction control method for a high-cold high-altitude area. Background In high-cold high-altitude areas, construction and construction activities face a series of serious environmental challenges including extremely low temperature, strong wind, large temperature difference, low air pressure and other factors, which greatly influence the performance and construction quality of construction materials, particularly in asphalt pavement, concrete engineering and other constructions, common bullet-reducing and viscosity-increasing materials are easy to decline in performance, such as viscosity reduction, elastic modulus change and the like, under the environments, so that the construction quality cannot meet the standard, the traditional construction method often cannot be scientifically adjusted for the special environments, the suitability of the materials in the construction process is poor, the construction effect is unstable, and even serious quality problems are caused, so that the development of an effective construction control method is urgent for the environmental characteristics. In the prior art, although the influence of certain single factors, such as the influence of low temperature, strong wind and the like on the material performance is purposefully studied, a systematic bullet-reducing and viscosity-increasing construction control method capable of flexibly coping with complex environmental changes in actual construction cannot be established, and in addition, the traditional method mostly depends on manual experience, lacks of a real-time monitoring and adjusting mechanism, and cannot efficiently and accurately ensure the construction quality. Disclosure of Invention The invention aims to solve the problems and provides a bullet-reducing and viscosity-increasing construction control method for high-cold high-altitude areas. The aim of the invention can be achieved by the following technical scheme: A bullet-reducing and viscosity-increasing construction control method for high-cold high-altitude areas comprises the following steps: S1, constructing a three-low-one-high adaptability standard, acquiring multi-dimensional environment standard data by adopting a combination mode of a fixed monitoring station and a mobile monitoring terminal, marking core parameter characteristics, and constructing an environment and material adaptability basic data set; S2, calibrating a scene-dividing key control point, dividing a construction scene based on an environment and material adaptability basic data set, and generating a dynamic corresponding relation library of the control point and three low and one high parameters; S3, real-time dynamic monitoring and abnormality early warning are carried out, environment dynamic data of a construction area and material bullet-reducing and viscosity-increasing performance parameters are captured in real time, the data are preprocessed by adopting an edge computing technology, a multi-dimensional dynamic monitoring sequence is constructed, and differential abnormality judgment standards are set by combining sequence data and grading early warning is carried out; S4, correcting the environment and material coupling parameters, based on dynamic monitoring sequence data, introducing a BP neural network to construct an environment material coupling correction model for deviation analysis, outputting an initial correction value, and performing secondary optimization by adopting a multi-objective optimization algorithm to generate optimal construction parameters; S5, construction effect verification and parameter iteration are carried out, typical standard section field test construction is carried out based on optimal construction parameters, test construction quality detection data are collected, parameter suitability is verified by combining the detection data, a parameter dynamic iteration mechanism is established, and newly-added data, process experience optimization parameters and a corresponding relation library are integrated regularly. Preferably, the three low one high suitability benchmarking procedure is as follows: Determining a data acquisition range and test conditions, covering different altitudes and different low-temperature environments, adopting a combination mode of a fixed monitoring station and a mobile monitoring terminal to acquire multi-dimensional environment reference data of air temperature, air pressure, air speed, ultraviolet intensity and day-night temperature difference, and carrying out viscosity and elastic modulus performance tests under different environment gradients on the bullet-reducing and adhesion-promoting material, wherein 3 groups of parallel tests are arranged on each environmen