Temperature monitoring and early warning method and system in concrete pouring process

Abstract

The invention discloses a temperature monitoring and early warning method and system in a concrete pouring process, and the method comprises the steps: obtaining historical temperature distribution monitoring data of a concrete pouring body, and carrying out the preprocessing; constructing a temperature distribution prediction model based on the preprocessed historical temperature distribution monitoring data and a preset neural network model, and obtaining temperature distribution prediction data through prediction; analyzing the temperature distribution prediction data, and determining a temperature change violent region; evaluating the severe temperature change area to obtain a comprehensive temperature change evaluation value, and judging whether the temperature change is abnormal or not according to the comprehensive temperature change evaluation value; and after it is judged that the temperature change is abnormal, an early warning strategy is determined according to the comprehensive temperature change evaluation value, and early warning prompting is carried out. By accurately judging the overall temperature of the concrete pouring body, the abnormal temperature situation can be found and processed in time, then early warning prompt is given out in time, structural diseases of the concrete pouring body caused by the temperature problem are prevented, and therefore the construction quality and safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building construction, and in particular to a temperature monitoring and early warning method and system during concrete pouring. Background Art

[0002] In modern construction projects, concrete is a widely used building material, and its performance and quality are directly related to the stability and service life of the building structure. Concrete pouring, that is, the pouring process of concrete, is a key link in the construction of concrete structures. With the continuous expansion of building scale and the increase in structural complexity, higher requirements are placed on temperature monitoring and early warning during concrete pouring. If temperature monitoring and early warning are not timely, a series of problems may arise, such as cracks inside the concrete pouring body, reduced strength, reduced durability, etc., which seriously affect the overall performance and safety of the building structure.

[0003] However, the traditional monitoring and early warning method has low accuracy in monitoring the temperature of concrete castings, and cannot accurately determine whether the temperature of the concrete castings is abnormal, resulting in the inability to issue early warning information in a timely manner, making the produced concrete castings unable to meet the requirements of construction. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a temperature monitoring and early warning method and system during concrete pouring, comprising:

[0005] Acquire historical temperature distribution monitoring data of the concrete casting body during the concrete pouring process, and pre-process the historical temperature distribution monitoring data;

[0006] A temperature distribution prediction model is constructed based on the pre-processed historical temperature distribution monitoring data and the preset neural network model, and the temperature distribution prediction data of the concrete casting body is obtained by prediction through the temperature distribution prediction model;

[0007] Analyze the temperature distribution prediction data to determine the areas with drastic temperature changes on the concrete casting;

[0008] Evaluate the temperature change of the area with drastic temperature change on the concrete casting body, obtain the comprehensive temperature change evaluation value of the concrete casting body, and judge whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value;

[0009] After determining that the temperature change of the concrete casting is abnormal, the early warning strategy is determined according to the comprehensive temperature change evaluation value, and the early warning prompt is given according to the early warning strategy.

[0010] Furthermore, the acquisition of historical temperature distribution monitoring data of the concrete casting body during the concrete casting process and preprocessing of the historical temperature distribution monitoring data include:

[0011] Use wired or wireless temperature sensors to obtain historical temperature distribution monitoring data on different areas of the concrete casting body;

[0012] The historical temperature distribution monitoring data is cleaned, erroneous data points are removed, missing data points are filled, and the data is standardized.

[0013] Furthermore, the temperature distribution prediction model is constructed based on the preprocessed historical temperature distribution monitoring data and the preset neural network model, and the temperature distribution prediction data of the concrete casting body is obtained by prediction through the temperature distribution prediction model, including:

[0014] A data set is constructed based on the preprocessed historical temperature distribution monitoring data, and the data set is input into a preset neural network model to construct an initial model for temperature distribution prediction;

[0015] The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the temperature distribution prediction initial model, and the relationship initial model is trained and tested until the temperature distribution prediction initial model meets the preset convergence condition, thereby obtaining the temperature distribution prediction model;

[0016] The real-time temperature distribution monitoring data of the concrete casting body is obtained, and the real-time temperature distribution monitoring data is input into the temperature distribution prediction model. The temperature distribution prediction model is used to perform predictions to obtain the temperature distribution prediction data of the concrete casting body for a period of time in the future.

[0017] Furthermore, the temperature distribution prediction data is analyzed to determine the area on the concrete casting body where the temperature changes dramatically, including:

[0018] The temperature distribution prediction data is plotted into several temperature distribution graphs in chronological order, and the same coordinate system is arranged for each temperature distribution graph;

[0019] Record the temperature at the same coordinate position in the coordinate system of each temperature distribution diagram in turn, and calculate the temperature gradient between different coordinate positions on the concrete casting body;

[0020] The average temperature change rate at different coordinate positions on the concrete casting body is calculated according to the temperature gradient, and the coordinate position where the average temperature change rate exceeds a preset threshold is determined as the area of ​​​​rapid temperature change on the concrete casting body.

[0021] Furthermore, the temperature change of the area where the temperature changes dramatically on the concrete casting is evaluated to obtain a comprehensive temperature change evaluation value of the concrete casting, including:

[0022] Calculate the difference between the average temperature change rate of the temperature-changing area on the concrete casting and the change rate of the preset threshold, and evaluate the change rate difference of each temperature-changing area to obtain the evaluation value of each temperature-changing area;

[0023] Obtain the coverage area of ​​each area with drastic temperature changes, and calculate the ratio of the coverage area of ​​each area with drastic temperature changes to the total area, and use the ratio as the evaluation coefficient corresponding to each area with drastic temperature changes;

[0024] The evaluation value of each area with drastic temperature changes is weightedly added to the corresponding evaluation coefficient to obtain the comprehensive temperature change evaluation value of the concrete casting body.

[0025] Further, judging whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value includes:

[0026] If the comprehensive temperature change evaluation value does not exceed the preset threshold, it is judged that the temperature change of the concrete casting body is normal;

[0027] If the comprehensive temperature change evaluation value exceeds the preset threshold, it is judged that the temperature change of the concrete casting body is abnormal.

[0028] Further, after determining that the temperature change of the concrete casting body is abnormal, determining an early warning strategy according to the comprehensive temperature change evaluation value, and giving an early warning prompt according to the early warning strategy, includes:

[0029] A corresponding relationship between early warning strategy and comprehensive temperature change assessment value interval is preset. For each comprehensive temperature change assessment value interval, a corresponding early warning strategy is associated;

[0030] After determining that the temperature change of the concrete casting is abnormal, obtaining a comprehensive temperature change evaluation value, and based on the mapping relationship between the comprehensive temperature change evaluation value interval to which the comprehensive temperature change evaluation value belongs and the corresponding relationship between the early warning strategy and the comprehensive temperature change evaluation value interval, selecting the early warning strategy corresponding to the comprehensive temperature change evaluation value interval as the early warning strategy for early warning prompts;

[0031] Issue early warning alerts based on the early warning measures included in the early warning strategy.

[0032] The present invention also provides a temperature monitoring and early warning system during concrete pouring, comprising:

[0033] A preprocessing module is used to obtain the historical temperature distribution monitoring data of the concrete casting body during the concrete casting process, and preprocess the historical temperature distribution monitoring data;

[0034] A prediction module is used to construct a temperature distribution prediction model based on the preprocessed historical temperature distribution monitoring data and a preset neural network model, and to perform predictions through the temperature distribution prediction model to obtain temperature distribution prediction data of the concrete casting body;

[0035] Analysis module, used for analyzing the temperature distribution prediction data and determining the area with drastic temperature changes on the concrete casting;

[0036] An evaluation module is used to evaluate the temperature change of the area with drastic temperature change on the concrete casting body, obtain a comprehensive temperature change evaluation value of the concrete casting body, and judge whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value;

[0037] The early warning module is used to determine the early warning strategy according to the comprehensive temperature change evaluation value after judging that the temperature change of the concrete casting body is abnormal, and to issue early warning prompts according to the early warning strategy.

[0038] Compared with the prior art, the temperature monitoring and early warning method and system in the concrete pouring process according to the embodiment of the present invention have the following beneficial effects:

[0039] The present invention can timely discover and handle temperature abnormalities by accurately judging the overall temperature of the concrete casting body, and then timely issue early warning prompts to prevent concrete casting body structural diseases caused by temperature problems, thereby improving construction quality and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the process structure of the temperature monitoring and early warning method in the concrete pouring process according to an embodiment of the present invention;

[0041] Figure 2 It is a schematic diagram of the composition of the temperature monitoring and early warning system during the concrete pouring process in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0043] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or regional relationships, are based on the orientations or regional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0044] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0045] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technical personnel in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0046] like Figure 1 As shown, in an embodiment of the present application, a temperature monitoring and early warning method during concrete pouring is provided, including: S100: obtaining historical temperature distribution monitoring data of a concrete casting body during concrete pouring, and preprocessing the historical temperature distribution monitoring data; S200: constructing a temperature distribution prediction model based on the preprocessed historical temperature distribution monitoring data and a preset neural network model, and predicting through the temperature distribution prediction model to obtain temperature distribution prediction data of the concrete casting body; S300: analyzing the temperature distribution prediction data to determine an area on the concrete casting body where the temperature changes dramatically; S400: evaluating the temperature change of the area on the concrete casting body where the temperature changes dramatically to obtain a comprehensive temperature change evaluation value of the concrete casting body, and judging whether the temperature change of the concrete casting body is abnormal based on the comprehensive temperature change evaluation value; S500: after judging that the temperature change of the concrete casting body is abnormal, determining an early warning strategy based on the comprehensive temperature change evaluation value, and giving an early warning prompt based on the early warning strategy.

[0047] Furthermore, the present invention can timely discover and handle temperature abnormalities by accurately judging the overall temperature of the concrete casting body, and then promptly issue early warning prompts to prevent concrete casting body structural defects caused by temperature problems, thereby improving construction quality and safety.

[0048] In an embodiment of the present application, a temperature monitoring and early warning method is provided during a concrete pouring process, wherein historical temperature distribution monitoring data of a concrete casting body during the concrete pouring process is obtained, and the historical temperature distribution monitoring data is preprocessed, including: using a wired or wireless temperature sensor to obtain historical temperature distribution monitoring data of different areas of the concrete casting body; cleaning the historical temperature distribution monitoring data, removing erroneous data points, filling in missing data points, and standardizing the data.

[0049] Specifically, wired or wireless temperature sensors are used to obtain temperature data of concrete castings. Wired sensors are connected to data acquisition equipment through cables, while wireless sensors transmit data through wireless communication technology. Sensors are installed in different areas of concrete castings to ensure comprehensive coverage. Sensors collect temperature data of concrete castings in real time and transmit them to data acquisition equipment or central monitoring systems. Historical temperature distribution monitoring data is preprocessed, including data cleaning, identifying and removing erroneous data points caused by sensor failure, data acquisition errors or other reasons, using interpolation, mean value filling or other methods to fill missing data points caused by sensor failure or data transmission interruption, scaling data to a uniform range, such as between 0 and 1, to facilitate comparison and analysis between different data, and converting data to a distribution with zero mean and unit variance for subsequent statistical analysis and model training. Through data cleaning and standardization, the quality of data can be improved, the influence of noise and outliers can be reduced, and the preprocessed data is more suitable for training machine learning models, which helps to improve the prediction performance and accuracy of the model. Preprocessed data is easier to perform statistical analysis and visualization, which helps to better understand and interpret data. Through the above preprocessing steps, it can be ensured that the acquired historical temperature distribution monitoring data is accurate, reliable and available, providing a solid foundation for subsequent temperature prediction and analysis.

[0050] In an embodiment of the present application, a temperature monitoring and early warning method during concrete pouring is provided, wherein a temperature distribution prediction model is constructed based on preprocessed historical temperature distribution monitoring data and a preset neural network model, and prediction is performed through the temperature distribution prediction model to obtain temperature distribution prediction data of a concrete pouring body, including: constructing a data set according to the preprocessed historical temperature distribution monitoring data, and inputting the data set into a preset neural network model to construct an initial model for temperature distribution prediction; dividing the data set into a training set and a test set according to a certain ratio, and inputting the training set and the test set into the initial model for temperature distribution prediction, training and testing the initial model until the initial model for temperature distribution prediction meets the preset convergence conditions to obtain a temperature distribution prediction model; acquiring real-time temperature distribution monitoring data of the concrete pouring body, and inputting the real-time temperature distribution monitoring data into the temperature distribution prediction model, and predicting through the temperature distribution prediction model to obtain temperature distribution prediction data of the concrete pouring body for a period of time in the future.

[0051] Specifically, according to the preprocessed historical temperature distribution monitoring data, a data set is constructed, which contains time series data and corresponding temperature values, and features that are helpful for prediction, such as timestamp, temperature value, temperature change rate, etc., are extracted from the data set; the data set is divided into a training set and a test set according to a certain ratio, the training set is used to train the model, and the test set is used to evaluate the performance of the model. The size ratio of the training set and the test set can be determined according to specific needs and data volume; according to the characteristics of the data set, an initial temperature distribution prediction model is constructed, and the training set data is input into the initial temperature distribution prediction model. Through multiple iterations of training models, the model parameters are adjusted to minimize the prediction error; the performance of the model is evaluated using the test set data to check whether the prediction error of the model meets the preset convergence conditions; the temperature data of the concrete casting is collected in real time using a temperature sensor, and the real-time temperature distribution monitoring data is input into the trained temperature distribution prediction model. The temperature distribution prediction model predicts based on the real-time data and outputs the temperature distribution prediction data of the concrete casting in the future. Through the above process, the future temperature distribution of the concrete casting can be predicted, thereby providing timely temperature information to construction personnel, helping them take appropriate measures to control the temperature and ensure the quality and safety of the concrete structure.

[0052] In an embodiment of the present application, a temperature monitoring and early warning method during concrete pouring is provided, wherein the temperature distribution prediction data is analyzed to determine the area on the concrete casting body where the temperature changes dramatically, including: plotting the temperature distribution prediction data into a plurality of temperature distribution graphs in chronological order, and arranging the same coordinate system for each temperature distribution graph; sequentially recording the temperature of each temperature distribution graph at the same coordinate position in the coordinate system, and calculating the temperature gradient between different coordinate positions on the concrete casting body; calculating the average temperature change rate at different coordinate positions on the concrete casting body according to the temperature gradient, and determining the coordinate position where the average temperature change rate exceeds a preset threshold as the area on the concrete casting body where the temperature changes dramatically.

[0053] Specifically, the temperature distribution prediction data are plotted into multiple temperature distribution maps in chronological order to facilitate observation of the temperature change trend over time. The same coordinate system is arranged for each temperature distribution map to ensure that all temperature distribution maps are in the same position in the coordinate system for comparison and analysis. On each temperature distribution map, the temperature value at the same position in the coordinate system is recorded, and the temperature values ​​at different time points are compared to observe the temperature change over time. The temperature gradient refers to the rate at which the temperature changes with position, which can be calculated by dividing the temperature difference between adjacent positions by the distance between them. For each coordinate position, the temperature difference between its adjacent positions is calculated and then divided by the distance between them to obtain the temperature gradient. The average temperature change rate refers to the average rate of temperature change over a period of time, which can be calculated by dividing the temperature change by the time interval. For each coordinate position, the temperature change over a period of time is calculated and then divided by the length of this period to obtain the average temperature change rate. A threshold value for the average temperature change rate is set as a criterion for judging whether the temperature changes drastically. If the average temperature change rate at a certain coordinate position exceeds the preset threshold, it is considered that the temperature change at that position is drastic. Through the above steps, it is possible to analyze and identify areas on the concrete cast where temperature changes drastically. These areas may be where extra attention and measures need to be taken to ensure the quality and safety of the concrete structure.

[0054] In an embodiment of the present application, a temperature monitoring and early warning method during concrete pouring is provided, wherein the temperature change of the area with drastic temperature change on the concrete casting body is evaluated to obtain a comprehensive temperature change evaluation value of the concrete casting body, including: calculating the difference between the average temperature change rate of the area with drastic temperature change on the concrete casting body and the change rate of a preset threshold, and evaluating and taking the change rate difference of each area with drastic temperature change to obtain an evaluation value of each area with drastic temperature change; obtaining the coverage area of ​​each area with drastic temperature change, and calculating the ratio of the coverage area of ​​each area with drastic temperature change to the total area, and using the ratio as the evaluation coefficient corresponding to each area with drastic temperature change; and performing weighted addition calculation on the evaluation value of each area with drastic temperature change and the corresponding evaluation coefficient to obtain a comprehensive temperature change evaluation value of the concrete casting body.

[0055] Specifically, for each area with drastic temperature changes, the difference between its average temperature change rate and the change rate of the preset threshold is calculated. According to the size of the difference in the change rate, each area with drastic temperature changes is evaluated and valued, and the evaluation value reflects the severity of the temperature change in the area; through geometric calculation or image processing technology, the coverage area of ​​each area with drastic temperature changes is obtained, and the ratio of the coverage area of ​​each area with drastic temperature changes to the total area is calculated. This ratio is used as the evaluation coefficient corresponding to the area with drastic temperature changes, reflecting the importance of the area in the overall cast body; the evaluation value of each area with drastic temperature changes is weightedly added with the corresponding evaluation coefficient to obtain the comprehensive temperature change evaluation value of the concrete cast body, which comprehensively considers the severity of the temperature change and the importance of the area in the whole. Through the above steps, the area with drastic temperature changes on the concrete cast body can be comprehensively evaluated, so as to have a more comprehensive understanding of the impact of temperature changes on the concrete structure. The comprehensive temperature change evaluation value can help construction personnel better understand the impact of temperature changes and take corresponding measures to ensure the quality and safety of concrete structures.

[0056] In an embodiment of the present application, a temperature monitoring and early warning method during concrete pouring is provided, wherein whether the temperature change of the concrete casting body is abnormal is judged based on the comprehensive temperature change evaluation value, including: if the comprehensive temperature change evaluation value does not exceed the preset threshold value, then the temperature change of the concrete casting body is judged to be normal; if the comprehensive temperature change evaluation value exceeds the preset threshold value, then the temperature change of the concrete casting body is judged to be abnormal.

[0057] Specifically, through the steps described above, the comprehensive temperature change evaluation value of the concrete casting is calculated. The comprehensive temperature change evaluation value is a numerical value representing the comprehensive degree of temperature change on the concrete casting; according to engineering experience and relevant standards, a threshold value of the comprehensive temperature change evaluation value is set. The threshold value is a reference value used to judge whether the temperature change is within the normal range. If the comprehensive temperature change evaluation value does not exceed the preset threshold value, the temperature change of the concrete casting is judged to be normal, which means that the temperature change on the concrete casting is within an acceptable range and will not have an adverse effect on the structural quality. If the comprehensive temperature change evaluation value exceeds the preset threshold value, the temperature change of the concrete casting is judged to be abnormal. The meaning of abnormality is: this means that the temperature change on the concrete casting exceeds the normal range and may have an adverse effect on the structural quality. Through the above judgment criteria, the abnormal temperature on the concrete casting can be discovered and handled in time, thereby ensuring the construction quality and safety of the concrete structure. This provides an important decision-making basis for construction personnel, helping them take appropriate measures to control the temperature and prevent structural problems caused by abnormal temperature.

[0058] In an embodiment of the present application, a temperature monitoring and early warning method during concrete pouring is provided, wherein after determining that the temperature change of the concrete pouring body is abnormal, determining an early warning strategy according to a comprehensive temperature change evaluation value, and providing an early warning prompt according to the early warning strategy, including: presetting an early warning strategy-comprehensive temperature change evaluation value interval correspondence, wherein the early warning strategy-comprehensive temperature change evaluation value interval correspondence is associated with a corresponding early warning strategy for each comprehensive temperature change evaluation value interval; after determining that the temperature change of the concrete pouring body is abnormal, obtaining the comprehensive temperature change evaluation value, and based on a mapping relationship between the comprehensive temperature change evaluation value interval to which the comprehensive temperature change evaluation value belongs within the early warning strategy-comprehensive temperature change evaluation value interval correspondence, selecting an early warning strategy corresponding to the comprehensive temperature change evaluation value interval as the early warning strategy for providing an early warning prompt; and providing an early warning prompt according to the early warning means contained in the early warning strategy.

[0059] Specifically, a relation table is pre-set, which contains the mapping relationship between different comprehensive temperature change evaluation value intervals and corresponding early warning strategies. Each comprehensive temperature change evaluation value interval is associated with at least one early warning strategy, which may include sound and light alarm, SMS notification, email notification, on-site personnel reminder, etc. After judging that the temperature change of the concrete casting is abnormal, the comprehensive temperature change evaluation value is obtained, and based on the interval to which the comprehensive temperature change evaluation value belongs, the corresponding early warning strategy is found in the early warning strategy-comprehensive temperature change evaluation value interval correspondence table; according to the selected early warning strategy, early warning prompts are given through early warning means; there is a one-to-one correspondence between the comprehensive temperature change evaluation value interval and the early warning strategy, ensuring that the appropriate early warning strategy can be accurately selected under abnormal circumstances. The application of early warning means includes sound and light alarm: sending sound and light signals through the alarm to remind on-site personnel to pay attention to temperature abnormalities; SMS notification: sending early warning information to relevant personnel through SMS service; Email notification: sending early warning reports to relevant personnel through email; On-site personnel reminder: directly notifying on-site staff to ensure that they can take measures in time. Through the above steps, it can be ensured that when the temperature of the concrete casting changes abnormally, the corresponding early warning strategy can be quickly selected and implemented according to the evaluation value, thereby ensuring construction safety and the stability of the concrete structure.

[0060] like Figure 2 As shown, in an embodiment of the present application, a temperature monitoring and early warning system in a concrete pouring process is provided, including: a preprocessing module, used to obtain historical temperature distribution monitoring data of a concrete casting body during the concrete pouring process, and preprocess the historical temperature distribution monitoring data; a prediction module, used to construct a temperature distribution prediction model based on the preprocessed historical temperature distribution monitoring data and a preset neural network model, and predict through the temperature distribution prediction model to obtain temperature distribution prediction data of the concrete casting body; an analysis module, used to analyze the temperature distribution prediction data, and determine the area on the concrete casting body where the temperature changes dramatically; an evaluation module, used to evaluate the temperature change of the area on the concrete casting body where the temperature changes dramatically, obtain a comprehensive temperature change evaluation value of the concrete casting body, and judge whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value; an early warning module, used to determine an early warning strategy according to the comprehensive temperature change evaluation value after judging that the temperature change of the concrete casting body is abnormal, and give an early warning prompt according to the early warning strategy.

[0061] In summary, an embodiment of the present invention provides a temperature monitoring and early warning method and system during concrete pouring, which includes: obtaining historical temperature distribution monitoring data of a concrete casting body and performing preprocessing; constructing a temperature distribution prediction model based on the preprocessed historical temperature distribution monitoring data and a preset neural network model, and obtaining temperature distribution prediction data through prediction; analyzing the temperature distribution prediction data to determine areas with drastic temperature changes; evaluating areas with drastic temperature changes to obtain a comprehensive temperature change evaluation value, and judging whether the temperature change is abnormal based on the evaluation value; after judging that the temperature change is abnormal, determining an early warning strategy based on the comprehensive temperature change evaluation value, and issuing an early warning prompt. The present invention can timely discover and handle temperature abnormalities by accurately judging the overall temperature of the concrete casting body, and then promptly issue early warning prompts to prevent concrete casting body structural diseases caused by temperature problems, thereby improving construction quality and safety.

[0062] Finally, it should be noted that: Obviously, a person skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is intended to include these modifications and variations.

[0063] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0064] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0065] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it is easy for a person skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, a person skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0066] 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.

Claims

1. A temperature monitoring and early warning method during concrete pouring, characterized in that: include: Acquire historical temperature distribution monitoring data of the concrete casting body during the concrete pouring process, and pre-process the historical temperature distribution monitoring data; A temperature distribution prediction model is constructed based on the pre-processed historical temperature distribution monitoring data and the preset neural network model, and the temperature distribution prediction data of the concrete casting body is obtained by prediction through the temperature distribution prediction model; Analyze the temperature distribution prediction data to determine the areas with drastic temperature changes on the concrete casting; Evaluate the temperature change of the area with drastic temperature change on the concrete casting body, obtain the comprehensive temperature change evaluation value of the concrete casting body, and judge whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value; After determining that the temperature change of the concrete casting is abnormal, the early warning strategy is determined according to the comprehensive temperature change evaluation value, and the early warning prompt is given according to the early warning strategy.

2. The temperature monitoring and early warning method during concrete pouring according to claim 1 is characterized in that: The method of obtaining the historical temperature distribution monitoring data of the concrete casting body during the concrete casting process and preprocessing the historical temperature distribution monitoring data includes: Use wired or wireless temperature sensors to obtain historical temperature distribution monitoring data on different areas of the concrete casting body; The historical temperature distribution monitoring data is cleaned, erroneous data points are removed, missing data points are filled, and the data is standardized.

3. The temperature monitoring and early warning method in the concrete pouring process according to claim 2 is characterized in that: The temperature distribution prediction model is constructed based on the pre-processed historical temperature distribution monitoring data and the preset neural network model, and the temperature distribution prediction data of the concrete casting body is obtained by prediction through the temperature distribution prediction model, including: A data set is constructed based on the preprocessed historical temperature distribution monitoring data, and the data set is input into a preset neural network model to construct an initial model for temperature distribution prediction; The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the temperature distribution prediction initial model, and the relationship initial model is trained and tested until the temperature distribution prediction initial model meets the preset convergence condition, thereby obtaining the temperature distribution prediction model; The real-time temperature distribution monitoring data of the concrete casting body is obtained, and the real-time temperature distribution monitoring data is input into the temperature distribution prediction model. The temperature distribution prediction model is used to perform predictions to obtain the temperature distribution prediction data of the concrete casting body for a period of time in the future.

4. The temperature monitoring and early warning method during concrete pouring according to claim 3 is characterized in that: The analysis of the temperature distribution prediction data to determine the area on the concrete casting where the temperature changes dramatically includes: The temperature distribution prediction data is plotted into several temperature distribution graphs in chronological order, and the same coordinate system is arranged for each temperature distribution graph; Record the temperature at the same coordinate position in the coordinate system of each temperature distribution diagram in turn, and calculate the temperature gradient between different coordinate positions on the concrete casting body; The average temperature change rate at different coordinate positions on the concrete casting body is calculated according to the temperature gradient, and the coordinate position where the average temperature change rate exceeds a preset threshold is determined as the area of ​​​​rapid temperature change on the concrete casting body.

5. The temperature monitoring and early warning method during concrete pouring according to claim 4 is characterized in that: The step of evaluating the temperature change of the area on the concrete casting body where the temperature changes dramatically to obtain the comprehensive temperature change evaluation value of the concrete casting body includes: Calculate the difference between the average temperature change rate of the temperature-changing area on the concrete casting and the change rate of the preset threshold, and evaluate the change rate difference of each temperature-changing area to obtain the evaluation value of each temperature-changing area; Obtain the coverage area of ​​each area with drastic temperature changes, and calculate the ratio of the coverage area of ​​each area with drastic temperature changes to the total area, and use the ratio as the evaluation coefficient corresponding to each area with drastic temperature changes; The evaluation value of each area with drastic temperature changes is weightedly added to the corresponding evaluation coefficient to obtain the comprehensive temperature change evaluation value of the concrete casting body.

6. The temperature monitoring and early warning method during concrete pouring according to claim 5 is characterized in that: The step of judging whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value includes: If the comprehensive temperature change evaluation value does not exceed the preset threshold, it is judged that the temperature change of the concrete casting body is normal; If the comprehensive temperature change evaluation value exceeds the preset threshold, it is judged that the temperature change of the concrete casting body is abnormal.

7. The temperature monitoring and early warning method during concrete pouring according to claim 6 is characterized in that: After determining that the temperature change of the concrete casting body is abnormal, determining the early warning strategy according to the comprehensive temperature change evaluation value, and giving an early warning prompt according to the early warning strategy, including: A corresponding relationship between early warning strategy and comprehensive temperature change assessment value interval is preset. For each comprehensive temperature change assessment value interval, a corresponding early warning strategy is associated; After determining that the temperature change of the concrete casting is abnormal, obtaining a comprehensive temperature change evaluation value, and based on the mapping relationship between the comprehensive temperature change evaluation value interval to which the comprehensive temperature change evaluation value belongs and the corresponding relationship between the early warning strategy and the comprehensive temperature change evaluation value interval, selecting the early warning strategy corresponding to the comprehensive temperature change evaluation value interval as the early warning strategy for early warning prompts; Issue early warning alerts based on the early warning measures included in the early warning strategy.

8. A temperature monitoring and early warning system during concrete pouring, characterized in that: include: A preprocessing module is used to obtain the historical temperature distribution monitoring data of the concrete casting body during the concrete casting process, and preprocess the historical temperature distribution monitoring data; A prediction module is used to construct a temperature distribution prediction model based on the preprocessed historical temperature distribution monitoring data and a preset neural network model, and to perform predictions through the temperature distribution prediction model to obtain temperature distribution prediction data of the concrete casting body; Analysis module, used for analyzing the temperature distribution prediction data and determining the area with drastic temperature changes on the concrete casting; An evaluation module is used to evaluate the temperature change of the area with drastic temperature change on the concrete casting body, obtain a comprehensive temperature change evaluation value of the concrete casting body, and judge whether the temperature change of the concrete casting body is abnormal according to the comprehensive temperature change evaluation value; The early warning module is used to determine the early warning strategy according to the comprehensive temperature change evaluation value after judging that the temperature change of the concrete casting body is abnormal, and to issue early warning prompts according to the early warning strategy.

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