CN-120995772-B - Intelligent temperature control method and device for fan foundation construction in alpine region

CN120995772BCN 120995772 BCN120995772 BCN 120995772BCN-120995772-B

Abstract

The invention relates to the field of construction temperature regulation and control, in particular to an intelligent temperature control method and device for fan foundation construction in alpine regions. The method comprises the following steps of collecting real-time concrete temperature monitoring parameters based on distributed temperature sensors, carrying out time sequence temperature discrete trend analysis and space temperature fluctuation distribution evolution to construct a temperature fluctuation distribution evolution diagram, extracting concrete surface environment parameters, carrying out heat exchange simulation processing on the temperature fluctuation distribution evolution diagram, carrying out multi-element coupling correlation analysis to construct a temperature-environment quantitative relation model, obtaining construction area historical weather logs and construction area weather environment data, carrying out similar weather condition matching calculation, carrying out short-term weather trend prediction, and generating short-term weather trend prediction characteristics. According to the invention, through the dynamic temperature regulation and control requirement, the safe construction of the fan foundation concrete in the severe cold environment is ensured, and the construction quality is improved.

Inventors

ZHANG JIANFENG
GUO XINHUA
WU RUNXIN
He Mingchi
Hong Shenghao
LIAO XIANG
Wu Beigen
LIU WENZHU
LIU HONGZHI
LIU CHENGGANG
XU PEIJIAN
YANG DI
GAO YUFAN
CHEN GUIDONG

Assignees

中国能源建设集团广东火电工程有限公司

Dates

Publication Date: 20260512
Application Date: 20250806

Claims (9)

1. An intelligent temperature control method for fan foundation construction in alpine regions is characterized by comprising the following steps: Acquiring real-time concrete temperature monitoring parameters based on a distributed temperature sensor, analyzing time sequence temperature discrete trend and evolving spatial temperature fluctuation distribution, and constructing a temperature fluctuation distribution evolution diagram; Extracting concrete surface environment parameters, carrying out heat exchange simulation treatment on a temperature fluctuation distribution evolution diagram, carrying out multi-element coupling association analysis, and constructing a temperature-environment quantitative relation model; acquiring a construction area historical weather log and construction area weather environment data, carrying out similar weather condition matching calculation, and carrying out short-term weather trend prediction to generate short-term weather trend prediction characteristics; Carrying out short-term multi-region temperature situation prediction and region temperature change distribution fitting on the temperature-environment quantitative relation model based on short-term meteorological trend prediction characteristics, and constructing a natural temperature change prediction distribution field; carrying out differential area heating power demand analysis according to a natural temperature change prediction distribution field, and carrying out preventive temperature regulation and control to generate an area differential temperature regulation and control instruction; Performing warm air blower temperature control execution based on the region differential temperature regulation instruction, performing iterative regulation learning, and constructing a warm air blower temperature control optimization model; Wherein the short-term multi-region temperature situation prediction and the region temperature change distribution fitting are carried out on the temperature-environment quantitative relation model based on the short-term meteorological trend prediction characteristics, the specific steps of constructing the natural temperature change prediction distribution field are as follows: deep convolution learning is conducted on the temperature-environment quantitative relation model based on short-term weather trend prediction characteristics, weather natural temperature evolution dynamics analysis is conducted, and a construction area temperature evolution twin model is constructed; carrying out short-term multi-region temperature situation prediction based on a construction region temperature evolution twin model, and generating short-term temperature situation prediction values of different regions; Calculating the temperature change amplitude and range distribution of the short-term temperature situation predicted value; And carrying out regional temperature change distribution fitting based on the temperature change amplitude and the range distribution, and constructing a natural temperature change prediction distribution field.
2. The intelligent temperature control method for fan foundation construction in alpine regions according to claim 1, wherein the concrete temperature monitoring parameters are collected based on distributed temperature sensors, time sequence temperature discrete trend analysis and spatial temperature fluctuation distribution evolution are carried out, and the specific steps of constructing the temperature fluctuation distribution evolution are as follows: collecting real-time concrete temperature monitoring parameters of a fan foundation construction area based on a distributed temperature sensor; performing abnormal parameter filtering treatment on the real-time concrete temperature monitoring parameters to obtain abnormal optimized temperature monitoring parameters; carrying out sensor space positioning calculation on the distributed temperature sensors one by one, and extracting a plurality of sensor space position coordinates; performing time sequence temperature discrete trend analysis on the abnormal optimized temperature monitoring parameters to generate a time sequence temperature discrete trend curve; And carrying out spatial temperature fluctuation distribution evolution on the time-series temperature dispersion trend curve based on the spatial position coordinates of the plurality of sensors, and constructing a temperature fluctuation distribution evolution diagram.
3. The intelligent temperature control method for constructing fan foundation in alpine region according to claim 2, wherein the specific steps of filtering abnormal parameters of real-time concrete temperature monitoring parameters to obtain abnormal optimized temperature monitoring parameters are as follows: defining a sliding time window of fixed length; performing sliding window fitting analysis on the real-time concrete temperature monitoring parameters based on the sliding time window, and extracting temperature monitoring parameters of a plurality of time windows; Calculating fitting residual errors, temperature slopes and temperature change rates of the temperature monitoring parameters; Detecting temperature jump of adjacent time windows based on the temperature slope and the temperature change rate, and marking abnormal temperature jump points; Analyzing the slope change rate according to the fitting residual error, gradually deviating and identifying the slope, and marking an abnormal temperature drift point; Judging the abnormal temperature jump point and the abnormal temperature drift point as abnormal temperature monitoring points; Sensing and monitoring error analysis is carried out on abnormal temperature monitoring points, and error monitoring points and abnormal outlier monitoring points are extracted; calculating a multipoint average temperature monitoring parameter of the real-time concrete temperature monitoring parameter; And carrying out mean value interpolation replacement on the error monitoring points according to the multipoint average temperature monitoring parameters, and carrying out outlier filtering treatment on the outlier monitoring points to obtain the outlier optimized temperature monitoring parameters.
4. The intelligent temperature control method for fan foundation construction in alpine regions according to claim 1, wherein the concrete surface environment parameters are extracted, heat exchange simulation processing is carried out on a temperature fluctuation distribution evolution diagram, multi-element coupling association analysis is carried out, and a concrete step of constructing a temperature-environment quantitative relation model is as follows: Digging the internal temperature distribution of the concrete based on the temperature fluctuation distribution evolution diagram, and extracting an internal temperature distribution mode; Defining a time period, and carrying out a plurality of period temperature change logic operations on the temperature fluctuation distribution evolution diagram to generate a temperature change rule; Performing numerical real-time simulation based on an internal temperature distribution mode and a temperature change rule to generate a real-time temperature distribution field; collecting self-adaptive frequency parameters of the fan foundation construction area, and extracting concrete surface environment parameters; Performing heat exchange simulation treatment on the real-time temperature distribution field based on the concrete surface environment parameters to generate environment-internal temperature heat exchange simulation data; And performing multi-element coupling association analysis on the environment-internal temperature heat exchange simulation data, and performing temperature change response quantification to construct a temperature-environment quantification relation model.
5. The intelligent temperature control method for constructing a fan foundation in a alpine region according to claim 4, wherein the specific steps of collecting adaptive frequency parameters of the fan foundation construction area and extracting concrete surface environment parameters are as follows: performing area topology analysis on the fan foundation construction area, and extracting topological structure characteristics of the construction area; Carrying out key equipment node and redundant area identification according to the topological structure characteristics of the construction area, and extracting a core equipment area and a redundant area; Carrying out multi-layer environment architecture modeling based on a core equipment area and a redundant area to construct a three-layer environment monitoring framework, wherein the three-layer environment monitoring framework comprises a core temperature monitoring layer, a gradient change sensing layer and a boundary environment monitoring layer; and (3) carrying out self-adaptive sampling frequency adjustment based on a three-layer environment monitoring frame, carrying out multi-dimensional table environment parameter acquisition, and extracting the concrete surface environment parameters.
6. The intelligent temperature control method for fan foundation construction in alpine regions according to claim 1, wherein the specific steps of obtaining the construction region history weather log and the construction region weather environment data, performing similar weather condition matching calculation, performing short-term weather trend prediction, and generating short-term weather trend prediction features are as follows: Acquiring a construction area historical meteorological log, integrating a meteorological radar, an infrared thermal imaging and a wind speed and direction sensor to acquire construction area meteorological environment data; Carrying out historical weather change analysis on a construction area historical weather log, and extracting historical weather change condition information; Carrying out time sequence weather change analysis based on the weather environment data of the construction area to obtain time sequence weather change characteristics; Performing similarity calculation and most similar event matching on the historical weather change condition information based on the time sequence weather change characteristics so as to obtain a most similar historical sample of the current weather environment; and carrying out short-term weather trend prediction of the construction area according to the historical sample, and generating short-term weather trend prediction characteristics.
7. The intelligent temperature control method for constructing fan foundation in alpine region according to claim 1, wherein the specific steps of performing differential area heating power demand analysis according to natural temperature variation prediction distribution field and preventive temperature regulation, and generating an area differential temperature regulation instruction are as follows: calculating the position coordinates of each module of the industrial fan heater heating module array, and carrying out matching based on a natural temperature change prediction distribution field to obtain matching information; Carrying out heating power demand analysis of the differential area according to the matching information so as to generate heating power demand values of different heating modules; Calculating heating temperature rise time based on the heating power demand value, and calculating optimal heating time to obtain an optimal heating time point; And performing preventive temperature regulation and control based on the heating power demand value and the optimal heating time point, and generating a region differential temperature regulation and control instruction.
8. The intelligent temperature control method for fan foundation construction in alpine regions according to claim 1, wherein the fan temperature control execution is performed based on the region differential temperature regulation instruction, iterative regulation learning is performed, and the specific steps of building a fan temperature control optimization model are as follows: Performing warm-air machine temperature control execution based on the region differential temperature regulation instruction, and collecting region temperature regulation feedback information; Analyzing the zone-by-zone temperature regulation response of the zone temperature regulation feedback information, and calculating response delay to obtain a plurality of zone regulation delay values; Analyzing a designated regulation temperature range according to the regional differential temperature regulation instruction to obtain a designated temperature range; calculating temperature regulation deviation of the designated temperature range based on the regional temperature regulation feedback information to obtain a real-time temperature regulation deviation curve; And performing intelligent heating parameter optimization according to the plurality of regional regulation delay values and the real-time temperature regulation deviation curves, performing iterative regulation learning, and constructing a temperature control optimization model of the warm air blower.
9. An intelligent temperature control device for construction of a fan foundation in a alpine region, for performing the intelligent temperature control method for construction of a fan foundation in a alpine region as set forth in claim 1, comprising: The temperature fluctuation distribution module is used for acquiring real-time concrete temperature monitoring parameters based on a distributed temperature sensor, analyzing time sequence temperature discrete trend and evolving spatial temperature fluctuation distribution, and constructing a temperature fluctuation distribution evolution diagram; The coupling association module is used for extracting the environmental parameters of the concrete surface, carrying out heat exchange simulation treatment on the temperature fluctuation distribution evolution diagram, carrying out multi-element coupling association analysis, and constructing a temperature-environment quantitative relation model; the weather trend prediction module is used for acquiring the historical weather log of the construction area and the weather environment data of the construction area, carrying out similar weather condition matching calculation, carrying out short-term weather trend prediction, and generating short-term weather trend prediction characteristics; The temperature situation prediction module is used for carrying out short-term multi-region temperature situation prediction and region temperature change distribution fitting on the temperature-environment quantitative relation model based on short-term weather trend prediction characteristics, and constructing a natural temperature change prediction distribution field; The differential temperature regulation and control module is used for carrying out differential area heating power demand analysis according to a natural temperature change prediction distribution field and carrying out preventive temperature regulation and control to generate an area differential temperature regulation and control instruction; the intelligent temperature control optimization module is used for performing temperature control execution of the warm air blower based on the region differential temperature regulation and control instruction, performing iterative regulation and control learning, and constructing a warm air blower temperature control optimization model.

Description

Intelligent temperature control method and device for fan foundation construction in alpine region Technical Field The invention relates to the field of intelligent temperature control methods and devices for fan foundation construction in alpine regions. Background In the construction process of a high-power fan in a alpine region, temperature monitoring and regulation of a concrete foundation are key links for ensuring structural safety and construction quality. Because the concrete hydration reaction is slow and the freezing injury is easy to occur under the low-temperature environment, the abnormal fluctuation of the temperature not only affects the formation of the concrete strength, but also can cause structural damage such as cracks, flaking and the like, thereby threatening the long-term stability of the fan foundation. Traditional construction temperature management relies on manual inspection and simple temperature measurement equipment, and monitoring means is single and lagged, and is difficult to realize the fine and dynamic management to the internal temperature of concrete, and the complex temperature control requirement under the high-cold extreme environment can not be satisfied. In addition, the temperature of the concrete is influenced by environmental climate change, construction process and material characteristics, and the complexity and real-time requirements of temperature regulation are extremely high. The existing temperature regulation and control technology is generally based on fixed parameter setting, lacks intelligent recognition and self-adaptive adjustment capability for dynamic change of temperature in a construction site, causes unsatisfactory temperature control effect, low energy utilization efficiency, is difficult to respond to sudden environmental changes in time, and cannot effectively prevent low-temperature freeze injury and related quality accidents. Meanwhile, the construction environment in the alpine region is complex and changeable, the temperature monitoring equipment is easy to be interfered by the outside, the data accuracy and stability are challenged, and the construction risk is increased. In view of the foregoing, there is a need for a comprehensive monitoring and control system based on advanced sensing technology, intelligent data analysis, and adaptive temperature control strategies. Disclosure of Invention The invention provides an intelligent temperature control method and device for fan foundation construction in alpine regions to solve at least one technical problem. In order to achieve the above purpose, the invention provides an intelligent temperature control method for fan foundation construction in alpine regions, which comprises the following steps: Acquiring real-time concrete temperature monitoring parameters based on a distributed temperature sensor, analyzing time sequence temperature discrete trend and evolving spatial temperature fluctuation distribution, and constructing a temperature fluctuation distribution evolution diagram; Extracting concrete surface environment parameters, carrying out heat exchange simulation treatment on a temperature fluctuation distribution evolution diagram, carrying out multi-element coupling association analysis, and constructing a temperature-environment quantitative relation model; acquiring a construction area historical weather log and construction area weather environment data, carrying out similar weather condition matching calculation, and carrying out short-term weather trend prediction to generate short-term weather trend prediction characteristics; Carrying out short-term multi-region temperature situation prediction and region temperature change distribution fitting on the temperature-environment quantitative relation model based on short-term meteorological trend prediction characteristics, and constructing a natural temperature change prediction distribution field; carrying out differential area heating power demand analysis according to a natural temperature change prediction distribution field, and carrying out preventive temperature regulation and control to generate an area differential temperature regulation and control instruction; and performing warm air blower temperature control execution based on the region differential temperature regulation instruction, performing iterative regulation learning, and constructing a warm air blower temperature control optimization model. In this specification, there is provided an intelligent temperature control device for construction of a fan foundation in an alpine region for performing an intelligent temperature control method for construction of a fan foundation in an alpine region as described above, comprising: The temperature fluctuation distribution module is used for acquiring real-time concrete temperature monitoring parameters based on a distributed temperature sensor, analyzing time sequence temperature discrete trend and evolving spati