Concrete cooling water flow regulation monitoring system and method based on image technology

Abstract

The invention relates to the technical field of concrete pouring, and discloses a concrete cooling water flow regulation monitoring system and method based on an image technology, and the method comprises the steps: embedding cooling water flow state factors into a concrete temperature field calculation process, and analyzing concrete state parameters and image data of the cooling water flow state. The temperature field of the concrete is calculated, and the corresponding cooling water flow regulation control instruction is generated based on the temperature change trend, so that the intelligent level of the concrete cooling process is improved, uniform cooling is ensured, local optimized cooling is realized, it is ensured that the concrete is kept in a safe temperature range in the construction period, the cracking risk is reduced, and the construction quality is improved. The strength and durability of the concrete are improved, and the construction quality and efficiency are also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete pouring, and in particular to a monitoring system and method for concrete cooling water flow regulation based on image technology. Background Art

[0002] During the pouring and curing process, concrete will release a lot of heat due to hydration reaction, causing the internal temperature to rise. A rapid temperature rise may cause temperature stress, resulting in cracks inside the concrete, affecting its structural integrity and strength. Therefore, timely cooling of concrete is a key measure to ensure its durability and performance.

[0003] In order to effectively cool concrete, it is currently mainly achieved by adjusting the flow of cooling water. By optimizing the cooling water flow, a uniform cooling effect is achieved to avoid stress concentration caused by excessive temperature gradients. However, in the process of adjusting the cooling water flow of concrete, the temperature change of concrete has not been accurately predicted, resulting in the inability to achieve targeted cooling of different areas of concrete by adjusting the cooling water flow, and the cooling effect is greatly reduced. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a monitoring system and method for concrete cooling water flow regulation based on image technology, so as to solve the problem that it is currently impossible to accurately predict the temperature change of concrete during the cooling process of concrete, and then it is difficult to perform targeted cooling of different areas of concrete by adjusting the cooling water flow.

[0005] The first aspect of the present invention discloses a monitoring system for concrete cooling water flow regulation based on image technology, the system comprises a concrete state monitoring module, an image acquisition module, a data processing module, and a flow regulation module; wherein:

[0006] The concrete state monitoring module is used to monitor the state parameters of concrete in real time; the state parameters include the internal and external temperature of concrete, environmental parameters, material properties, and geometric parameters;

[0007] The image acquisition module is used to obtain image data of the cooling water flow state in real time;

[0008] The data processing module is used to analyze the image data to obtain the cooling water flow state, and calculate the temperature field of the concrete in combination with the cooling water temperature and the state parameters of the concrete;

[0009] Based on the temperature field, the concrete temperature change trend under the current cooling water flow state is obtained, and based on the temperature change trend, a control instruction for cooling water flow regulation is generated;

[0010] The flow regulating module is used to regulate the flow of cooling water according to control instructions.

[0011] Further, analyzing the image data to obtain the flow state of cooling water includes analyzing the image data to obtain the flow speed, flow path and atomization degree of the cooling water, and determining the flow state of the cooling water based on the flow speed, flow path and atomization degree of the cooling water.

[0012] Furthermore, the calculation process of the flow rate of the cooling water includes:

[0013] Acquire continuous image sequence data of cooling water flow based on the image data;

[0014] Extracting characteristic points of water flow from the first frame image of the acquired continuous image sequence data by using a feature detection algorithm;

[0015] The optical flow method is used to analyze the position changes of feature points between consecutive frames, determine the positions of feature points in the corresponding frames, calculate the displacement of each feature point within a preset time interval, and calculate the flow velocity based on the displacement;

[0016] The flow velocities of all characteristic points are weighted averaged to obtain the average flow velocity, which is used as the flow velocity of the cooling water.

[0017] Furthermore, the calculation process of the flow path of the cooling water includes:

[0018] Acquire continuous image sequence data of cooling water flow based on the image data;

[0019] Through the edge detection algorithm, gradient calculation, non-maximum suppression and threshold processing are performed on each frame of the image to obtain clear edge image data;

[0020] The clear edge image data are converted into a flow path model based on a parameterized curve fitting algorithm, and combined with a recursive algorithm, the flow path is tracked in real time in the image sequence.

[0021] Furthermore, the calculation process of the atomization degree of the cooling water includes:

[0022] Perform a histogram equalization operation on the image data;

[0023] The water droplets are separated from the background in the image after the histogram equalization operation by using the image segmentation technology to obtain a binary image of the water droplets;

[0024] Calculate the total area of ​​the water drop region after segmentation and count the number of water droplets segmented in the image;

[0025] Through the connected domain analysis algorithm, the outline of each water droplet is identified and its diameter is calculated and recorded. Statistical analysis is performed on all water droplets to evaluate the distribution characteristics of water droplet size.

[0026] Based on the calculated droplet area, number and diameter, a comprehensive atomization degree index is generated.

[0027] Furthermore, the calculation process of the concrete temperature field includes:

[0028] Acquire image data of the concrete microstructure, and establish a microstructure model of the concrete according to the acquired microstructure image data; the microstructure model includes the distribution characteristics of cement particle diameter, aggregate shape and water content of the concrete;

[0029] The macroscopic heat conduction model of concrete is determined based on the material properties and geometric parameters of concrete, and the microstructure model is embedded in the macroscopic heat conduction model to obtain the target model;

[0030] The boundary conditions of the target model are set based on the temperature and flow state of the cooling water and the environmental parameters of the concrete;

[0031] The initial conditions of the target model are set based on the internal and external temperature distribution of the concrete during pouring;

[0032] The target model is solved by finite element analysis algorithm to obtain the temperature field of concrete.

[0033] Furthermore, the target model is solved by the finite element analysis algorithm, and the calculation process of the temperature field of the concrete includes:

[0034] Divide the target model into multiple finite element units and perform attribute assignment operations for each unit;

[0035] Establish a finite element equation system based on boundary conditions and initial conditions, solve the equation system, and calculate the temperature value of each finite element unit;

[0036] The calculated temperature values ​​are reconstructed into a temperature field distribution.

[0037] Furthermore, the step of obtaining the concrete temperature change trend under the current cooling water flow state based on the temperature field, and generating a control instruction for adjusting the cooling water flow rate based on the temperature change trend includes:

[0038] The time series data of concrete temperature field is analyzed by linear regression algorithm to obtain the temperature change trend of concrete;

[0039] Performing a regional temperature analysis operation based on the temperature change trend of the concrete, obtaining a region where the temperature change rate is greater than or less than a preset value as a first region;

[0040] A control instruction for adjusting the cooling water flow is generated based on the temperature variation trend of the concrete, the temperature field variation data of the first area, and a preset temperature threshold of the concrete.

[0041] Furthermore, the system also includes a correction module, which is used to perform correction operations on target model parameters based on real-time monitoring data of concrete state parameters by the concrete state monitoring module after the flow regulation module adjusts the flow of cooling water according to the control instruction.

[0042] The second aspect of the present invention discloses a monitoring method for concrete cooling water flow regulation based on image technology, which is applied to the monitoring system disclosed in the first aspect, and the method comprises:

[0043] Real-time monitoring of concrete state parameters; wherein the state parameters include internal and external temperatures of concrete, environmental parameters, material properties, and geometric parameters;

[0044] Acquire image data of cooling water flow status in real time;

[0045] Analyze the image data to obtain the cooling water flow state, and calculate the temperature field of the concrete by combining the cooling water temperature and the state parameters of the concrete;

[0046] Based on the temperature field, the concrete temperature change trend under the current cooling water flow state is obtained, and based on the temperature change trend, a control instruction for cooling water flow regulation is generated;

[0047] Adjust the flow of cooling water according to the control instructions.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention embeds the cooling water flow state factor into the concrete temperature field calculation process, calculates the concrete temperature field by analyzing the concrete state parameters and the image data of the cooling water flow state, and generates corresponding cooling water flow regulation control instructions based on the temperature change trend, thereby improving the intelligence level of the concrete cooling process, achieving local optimized cooling while ensuring uniform cooling, ensuring that the concrete is kept within a safe temperature range during construction, reducing the risk of cracking, improving the strength and durability of the concrete, and also improving the construction quality and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of the economic application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0051] Figure 1 It is a structural schematic diagram of a monitoring system for concrete cooling water flow regulation based on image technology disclosed in the first embodiment of the present invention;

[0052] Figure 2A flow chart of a monitoring method for concrete cooling water flow regulation based on image technology disclosed in yet another embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0054] Embodiment 1

[0055] The first aspect of the present invention discloses a monitoring system for concrete cooling water flow regulation based on image technology, see Figure 1 , Figure 1 The present invention discloses a structural diagram of a monitoring system for concrete cooling water flow regulation based on image technology, the system comprising a concrete state monitoring module, an image acquisition module, a data processing module, and a flow regulation module; wherein:

[0056] The concrete state monitoring module is used to monitor the state parameters of concrete in real time; the state parameters include the internal and external temperature of concrete, environmental parameters, material properties, and geometric parameters.

[0057] Specifically, in the embodiment of the present invention, a temperature sensor is provided to perform temperature monitoring operations on different depths inside the concrete and on the surface of the concrete. Environmental parameters may include, but are not limited to, ambient temperature, humidity, and wind speed. Material properties may include, but are not limited to, thermal conductivity, specific heat capacity, cement type, and mixing ratio of concrete; wherein, the thermal conductivity and specific heat capacity of concrete are important parameters that determine the rate of temperature change thereof, which can be obtained through experiments or literature, and are not specifically limited in the embodiment of the present invention. Geometric parameters include, but are not limited to, the geometric shape, size, layout, and relative position of concrete components.

[0058] The image acquisition module is used to acquire image data of the cooling water flow state in real time.

[0059] Specifically, the image acquisition module may include a high-resolution camera or an infrared camera to continuously capture the flow state of cooling water at a high frequency (such as 30 frames per second), and the collected image data forms a sequence to reflect the flow state of cooling water at different time points.

[0060] The data processing module is used to analyze the image data to obtain the cooling water flow state, and calculate the temperature field of the concrete in combination with the cooling water temperature and the state parameters of the concrete.

[0061] The concrete temperature variation trend under the current cooling water flow state is obtained based on the temperature field, and a control instruction for cooling water flow regulation is generated based on the temperature variation trend.

[0062] The flow regulating module is used to regulate the flow of cooling water according to control instructions.

[0063] Specifically, in an embodiment of the present invention, the flow regulating module may include an electric valve, a flow sensor and a controller, and the electric valve is automatically opened or closed according to a control instruction, thereby regulating the flow of cooling water. The flow sensor is used to monitor the flow of cooling water in real time and feed the data back to the data processing module to ensure that the actual flow is consistent with the set value.

[0064] Further, analyzing the image data to obtain the flow state of cooling water includes analyzing the image data to obtain the flow speed, flow path and atomization degree of the cooling water, and determining the flow state of the cooling water based on the flow speed, flow path and atomization degree of the cooling water.

[0065] In an embodiment of the present invention, the process of analyzing image data to obtain the flow state of cooling water is intended to monitor the flow velocity, flow path and degree of atomization of cooling water in real time. The core purpose of this process is to optimize the cooling effect, and give priority to ensuring that the cooling water can evenly cover the concrete surface, thereby preventing local overheating and temperature stress. Specifically, the analysis of the flow velocity helps to judge the effectiveness of the water flow, while the identification of the flow path can determine whether the cooling water can fully cover the concrete surface. At the same time, by evaluating the degree of atomization, the distribution and evaporation efficiency of the cooling water can be analyzed, and the uniformity and effectiveness of the cooling effect can be further judged. Combining these data, accurate control instructions are provided for the flow regulation module to ensure the dynamic adjustment of the cooling water flow, reduce the risk of concrete cracking and strength loss, and ultimately improve construction efficiency and concrete quality.

[0066] Furthermore, the calculation process of the flow rate of cooling water includes:

[0067] Acquire continuous image sequence data of cooling water flow based on the image data;

[0068] Extracting characteristic points of water flow from the first frame image of the acquired continuous image sequence data by using a feature detection algorithm;

[0069] The optical flow method is used to analyze the position changes of feature points between consecutive frames, determine the positions of feature points in the corresponding frames, calculate the displacement of each feature point within a preset time interval, and calculate the flow velocity based on the displacement;

[0070] The flow velocities of all characteristic points are weighted averaged to obtain the average flow velocity, which is used as the flow velocity of the cooling water.

[0071] Furthermore, the calculation process of the cooling water flow path includes:

[0072] Acquire continuous image sequence data of cooling water flow based on the image data;

[0073] Through the edge detection algorithm, gradient calculation, non-maximum suppression and threshold processing are performed on each frame of the image to obtain clear edge image data;

[0074] The clear edge image data are converted into a flow path model based on a parameterized curve fitting algorithm, and combined with a recursive algorithm, the flow path is tracked in real time in the image sequence.

[0075] Furthermore, the calculation process of the atomization degree of cooling water includes:

[0076] Perform a histogram equalization operation on the image data;

[0077] The water droplets are separated from the background in the image after the histogram equalization operation by using the image segmentation technology to obtain a binary image of the water droplets;

[0078] Calculate the total area of ​​the water drop region after segmentation and count the number of water droplets segmented in the image;

[0079] Through the connected domain analysis algorithm, the outline of each water droplet is identified and its diameter is calculated and recorded. Statistical analysis is performed on all water droplets to evaluate the distribution characteristics of water droplet size.

[0080] Based on the calculated droplet area, number and diameter, a comprehensive atomization degree index is generated.

[0081] Furthermore, the calculation process of the concrete temperature field includes:

[0082] Acquire image data of the concrete microstructure, and establish a microstructure model of the concrete according to the acquired microstructure image data; the microstructure model includes the distribution characteristics of cement particle diameter, aggregate shape and water content of the concrete;

[0083] The macroscopic heat conduction model of concrete is determined based on the material properties and geometric parameters of concrete, and the microstructure model is embedded in the macroscopic heat conduction model to obtain the target model;

[0084] The boundary conditions of the target model are set based on the temperature and flow state of the cooling water and the environmental parameters of the concrete;

[0085] The initial conditions of the target model are set based on the internal and external temperature distribution of the concrete during pouring;

[0086] The target model is solved by finite element analysis algorithm to obtain the temperature field of concrete.

[0087] It is understandable that the temperature field of concrete in the embodiment of the present invention refers to the temperature distribution of each point inside and on the surface of the entire concrete structure. It provides a comprehensive temperature distribution view that can reflect the temperature changes of concrete at different depths and positions. The internal temperature of the concrete as the initial condition refers to the temperature of a specific point inside the concrete, while the external temperature is usually the temperature on the surface of the concrete. These two are only specific data points of the temperature field and do not represent the complete state of the entire temperature field. When calculating the temperature field, although the initial conditions can be set by the internal and external temperature measurements, the temperature field calculation also needs to take into account the comprehensive influence of multiple factors such as heat conduction, convection, radiation, and the boundary conditions of the model. That is to say, the concrete temperature field in the present invention is dynamic and changes with time, and will continue to change due to factors such as the flow state of cooling water and changes in ambient temperature.

[0088] Furthermore, the target model is solved by the finite element analysis algorithm, and the calculation process of the temperature field of the concrete includes:

[0089] Divide the target model into multiple finite element units and perform attribute assignment operations for each unit;

[0090] Establish a finite element equation system based on boundary conditions and initial conditions, solve the equation system, and calculate the temperature value of each finite element unit;

[0091] The calculated temperature values ​​are reconstructed into a temperature field distribution.

[0092] As a preferred implementation of Example 1 of the present invention, the basic heat conduction equation of concrete is defined as:

[0093]

[0094] Where T is the temperature of the concrete, t is the time, and α is the thermal diffusivity, which indicates the speed at which heat propagates in concrete and is determined by the material properties. is the Laplace operator, which represents the second-order derivative of temperature in space and describes the change of temperature field. Q is the internal heat source term, which represents the heat generated by factors such as hydration reaction inside the concrete. h is the heat exchange coefficient between concrete and cooling water, which represents the heat transfer efficiency. T m The temperature of the cooling water.

[0095] Set up the finite element equations as:

[0096] [K]T all =Q all

[0097] Where [K] is the stiffness matrix, which represents the thermal conductivity of the concrete material and is determined by the thermal conductivity and geometry of the material, T allis the node temperature vector, which contains the temperature values ​​at all nodes, Q all is the heat source vector, which contains the heat source intensity of all nodes.

[0098] The stiffness matrix is:

[0099]

[0100] Among them, K ij is the element of the stiffness matrix, which represents the heat conduction relationship between the i-th node and the j-th node; N i 、N j is the shape function, which represents the relationship between the temperature at any position inside the unit and the node temperature; k is the thermal conductivity, h is the heat exchange coefficient between concrete and cooling water, and dΩ is the volume element of the finite element unit.

[0101] Heat source vectors include:

[0102]

[0103] Among them, Q i represents the heat source intensity of the ith node, Q unit It represents the heat source distribution inside the unit, q is the heat flow on the boundary, describing the influence of boundary conditions, and dΓ is the area element of the boundary.

[0104] Furthermore, the step of obtaining the concrete temperature change trend under the current cooling water flow state based on the temperature field, and generating a control instruction for adjusting the cooling water flow rate based on the temperature change trend includes:

[0105] The time series data of concrete temperature field is analyzed by linear regression algorithm to obtain the temperature change trend of concrete.

[0106] Specifically, the time series data of the concrete temperature field are analyzed by a linear regression algorithm, with the aim of extracting the temperature variation trend of the concrete at different time points and identifying the temperature variation pattern over time, such as whether the temperature is rising or falling and what the rate of change is.

[0107] Based on the temperature change trend of the concrete, a regional temperature analysis operation is performed to obtain a region where the temperature change rate is greater than or less than a preset value as the first region. The first region represents a pre-high temperature region or a pre-low temperature region.

[0108] A control instruction for adjusting the cooling water flow is generated based on the temperature variation trend of the concrete, the temperature field variation data of the first area, and a preset temperature threshold of the concrete.

[0109] It can be understood that the flow regulating module adjusts the flow state of the local cooling water accordingly based on the temperature field change data of the first area.

[0110] Based on the above operations, the temperature changes of concrete can be accurately identified and responded to, thereby ensuring the quality and safety of concrete during the construction process, and helping to improve construction efficiency and reduce construction risks.

[0111] Embodiment 2

[0112] Furthermore, based on the content of Example 1, as another embodiment of the present invention, the system also includes a correction module, which is used to perform correction operations on target model parameters based on real-time monitoring data of concrete state parameters by the concrete state monitoring module after the flow regulation module adjusts the flow of cooling water according to the control instruction.

[0113] The correction module achieves precise control of the concrete cooling water flow by dynamically correcting the target model parameters based on real-time monitoring data. It can not only optimize the cooling effect of the concrete, but also effectively reduce problems that arise during the construction process, ensure that the concrete solidifies within a safe temperature range, and improve construction quality and safety.

[0114] Embodiment 3

[0115] The second aspect of the present invention discloses a monitoring method for concrete cooling water flow regulation based on image technology, see Figure 2 , Figure 2 : is a flow chart of a monitoring method for concrete cooling water flow regulation based on image technology disclosed in another embodiment of the present invention, the method comprising:

[0116] Real-time monitoring of concrete state parameters; wherein the state parameters include internal and external temperatures of concrete, environmental parameters, material properties, and geometric parameters;

[0117] Acquire image data of cooling water flow status in real time;

[0118] Analyze the image data to obtain the cooling water flow state, and calculate the temperature field of the concrete by combining the cooling water temperature and the state parameters of the concrete;

[0119] Based on the temperature field, the concrete temperature change trend under the current cooling water flow state is obtained, and based on the temperature change trend, a control instruction for cooling water flow regulation is generated;

[0120] Adjust the flow of cooling water according to the control instructions.

[0121] Further, analyzing the image data to obtain the flow state of cooling water includes analyzing the image data to obtain the flow speed, flow path and atomization degree of the cooling water, and determining the flow state of the cooling water based on the flow speed, flow path and atomization degree of the cooling water.

[0122] Furthermore, the calculation process of the flow rate of the cooling water includes:

[0123] Acquire continuous image sequence data of cooling water flow based on the image data;

[0124] Extracting characteristic points of water flow from the first frame image of the acquired continuous image sequence data by using a feature detection algorithm;

[0125] The optical flow method is used to analyze the position changes of feature points between consecutive frames, determine the positions of feature points in the corresponding frames, calculate the displacement of each feature point within a preset time interval, and calculate the flow velocity based on the displacement;

[0126] The flow velocities of all characteristic points are weighted averaged to obtain the average flow velocity, which is used as the flow velocity of the cooling water.

[0127] Furthermore, the calculation process of the flow path of the cooling water includes:

[0128] Acquire continuous image sequence data of cooling water flow based on the image data;

[0129] Through the edge detection algorithm, gradient calculation, non-maximum suppression and threshold processing are performed on each frame of the image to obtain clear edge image data;

[0130] The clear edge image data are converted into a flow path model based on a parameterized curve fitting algorithm, and combined with a recursive algorithm, the flow path is tracked in real time in the image sequence.

[0131] Furthermore, the calculation process of the atomization degree of the cooling water includes:

[0132] Perform a histogram equalization operation on the image data;

[0133] The water droplets are separated from the background in the image after the histogram equalization operation by using the image segmentation technology to obtain a binary image of the water droplets;

[0134] Calculate the total area of ​​the water drop region after segmentation and count the number of water droplets segmented in the image;

[0135] Through the connected domain analysis algorithm, the outline of each water droplet is identified and its diameter is calculated and recorded. Statistical analysis is performed on all water droplets to evaluate the distribution characteristics of water droplet size.

[0136] Based on the calculated droplet area, number and diameter, a comprehensive atomization degree index is generated.

[0137] Furthermore, the calculation process of the concrete temperature field includes:

[0138] Acquire image data of the concrete microstructure, and establish a microstructure model of the concrete according to the acquired microstructure image data; the microstructure model includes the distribution characteristics of cement particle diameter, aggregate shape and water content of the concrete;

[0139] The macroscopic heat conduction model of concrete is determined based on the material properties and geometric parameters of concrete, and the microstructure model is embedded in the macroscopic heat conduction model to obtain the target model;

[0140] The boundary conditions of the target model are set based on the temperature and flow state of the cooling water and the environmental parameters of the concrete;

[0141] The initial conditions of the target model are set based on the internal and external temperature distribution of the concrete during pouring;

[0142] The target model is solved by finite element analysis algorithm to obtain the temperature field of concrete.

[0143] Furthermore, the target model is solved by the finite element analysis algorithm, and the calculation process of the temperature field of the concrete includes:

[0144] Divide the target model into multiple finite element units and perform attribute assignment operations for each unit;

[0145] Establish a finite element equation system based on boundary conditions and initial conditions, solve the equation system, and calculate the temperature value of each finite element unit;

[0146] The calculated temperature values ​​are reconstructed into a temperature field distribution.

[0147] Furthermore, the step of obtaining the concrete temperature change trend under the current cooling water flow state based on the temperature field, and generating a control instruction for adjusting the cooling water flow rate based on the temperature change trend includes:

[0148] The time series data of concrete temperature field is analyzed by linear regression algorithm to obtain the temperature change trend of concrete;

[0149] Performing a regional temperature analysis operation based on the temperature change trend of the concrete, obtaining a region where the temperature change rate is greater than or less than a preset value as a first region;

[0150] A control instruction for adjusting the cooling water flow is generated based on the temperature variation trend of the concrete, the temperature field variation data of the first area, and a preset temperature threshold of the concrete.

[0151] Furthermore, the method further includes, after adjusting the flow of cooling water according to the control instruction, performing a correction operation on the target model parameters based on real-time monitoring data of the concrete state parameters.

[0152] It should be noted that the specific implementation process of the fifth embodiment is similar to that of the first and second embodiments, and will not be repeated in this embodiment.

[0153] Finally, it should be noted that the monitoring system and method for concrete cooling water flow regulation based on image technology disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention and is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. The monitoring system for concrete cooling water flow regulation based on image technology is characterized by: The monitoring system includes a concrete state monitoring module, an image acquisition module, a data processing module, and a flow regulation module; wherein, The concrete state monitoring module is used to monitor the state parameters of concrete in real time; the state parameters include the internal and external temperature of concrete, environmental parameters, material properties, and geometric parameters; The image acquisition module is used to obtain image data of the cooling water flow state in real time; The data processing module is used to analyze the image data to obtain the cooling water flow state, and calculate the temperature field of the concrete in combination with the cooling water temperature and the state parameters of the concrete; Based on the temperature field, the concrete temperature change trend under the current cooling water flow state is obtained, and based on the temperature change trend, a control instruction for cooling water flow regulation is generated; The flow regulating module is used to regulate the flow of cooling water according to control instructions.

2. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 1 is characterized in that: Analyzing the image data to obtain the flow state of the cooling water includes analyzing the image data to obtain the flow speed, flow path and atomization degree of the cooling water, and determining the flow state of the cooling water based on the flow speed, flow path and atomization degree of the cooling water.

3. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 2 is characterized in that: The calculation process of the flow velocity of the cooling water includes: Acquire continuous image sequence data of cooling water flow based on the image data; Extracting characteristic points of water flow from the first frame image of the acquired continuous image sequence data by using a feature detection algorithm; The optical flow method is used to analyze the position changes of feature points between consecutive frames, determine the positions of feature points in the corresponding frames, calculate the displacement of each feature point within a preset time interval, and calculate the flow velocity based on the displacement; The flow velocities of all characteristic points are weighted averaged to obtain the average flow velocity, which is used as the flow velocity of the cooling water.

4. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 2 is characterized in that: The calculation process of the cooling water flow path includes: Acquire continuous image sequence data of cooling water flow based on the image data; Through the edge detection algorithm, gradient calculation, non-maximum suppression and threshold processing are performed on each frame of the image to obtain clear edge image data; The clear edge image data are converted into a flow path model based on a parameterized curve fitting algorithm, and combined with a recursive algorithm, the flow path is tracked in real time in the image sequence.

5. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 2 is characterized in that: The calculation process of the atomization degree of the cooling water includes: Perform a histogram equalization operation on the image data; The water droplets are separated from the background in the image after the histogram equalization operation by using the image segmentation technology to obtain a binary image of the water droplets; Calculate the total area of ​​the water drop region after segmentation and count the number of water droplets segmented in the image; Through the connected domain analysis algorithm, the outline of each water droplet is identified and its diameter is calculated and recorded. Statistical analysis is performed on all water droplets to evaluate the distribution characteristics of water droplet size. Based on the calculated droplet area, number and diameter, a comprehensive atomization degree index is generated.

6. The monitoring system for concrete cooling water flow regulation based on image technology according to any one of claims 1 to 5, characterized in that: The calculation process of concrete temperature field includes: Acquire image data of the concrete microstructure, and establish a microstructure model of the concrete according to the acquired microstructure image data; the microstructure model includes the distribution characteristics of cement particle diameter, aggregate shape and water content of the concrete; The macroscopic heat conduction model of concrete is determined based on the material properties and geometric parameters of concrete, and the microstructure model is embedded in the macroscopic heat conduction model to obtain the target model; Setting the boundary conditions of the target model based on the temperature and flow state of the cooling water and the environmental parameters of the concrete; The initial conditions of the target model are set based on the internal and external temperature distribution of the concrete during pouring; The target model is solved by finite element analysis algorithm to obtain the temperature field of concrete.

7. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 6 is characterized in that: The target model is solved by the finite element analysis algorithm, and the calculation process of the temperature field of the concrete includes: Divide the target model into multiple finite element units and perform attribute assignment operations for each unit; Establish a finite element equation system based on boundary conditions and initial conditions, and solve the equation system to calculate the temperature value of each finite element unit; The calculated temperature values ​​are reconstructed into a temperature field distribution.

8. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 7 is characterized in that: The method of obtaining the concrete temperature change trend under the current cooling water flow state based on the temperature field and generating a control instruction for cooling water flow adjustment based on the temperature change trend includes: The time series data of concrete temperature field is analyzed by linear regression algorithm to obtain the temperature change trend of concrete; Performing a regional temperature analysis operation based on the temperature change trend of the concrete, obtaining a region where the temperature change rate is greater than or less than a preset value as a first region; A control instruction for adjusting the cooling water flow is generated based on the temperature change trend of the concrete, the temperature field change data of the first area, and a preset temperature threshold of the concrete.

9. The monitoring system for concrete cooling water flow regulation based on image technology according to claim 1 is characterized in that: The system further comprises a correction module, which is used to perform correction operations on target model parameters based on real-time monitoring data of concrete state parameters by the concrete state monitoring module after the flow regulating module adjusts the flow of cooling water according to the control instruction.

10. A monitoring method for concrete cooling water flow regulation based on image technology, the method being applied to the system according to any one of claims 1 to 9, characterized in that: The method comprises: Real-time monitoring of concrete state parameters; wherein the state parameters include internal and external temperatures of concrete, environmental parameters, material properties, and geometric parameters; Acquire image data of cooling water flow status in real time; Analyze the image data to obtain the cooling water flow state, and calculate the temperature field of the concrete by combining the cooling water temperature and the state parameters of the concrete; Based on the temperature field, the concrete temperature change trend under the current cooling water flow state is obtained, and based on the temperature change trend, a control instruction for cooling water flow regulation is generated; Adjust the flow of cooling water according to the control instructions.

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