An intelligent monitoring device and method for concrete temperature during construction of super-long span bridge main tower

Abstract

The present invention provides an intelligent monitoring device and method for the temperature of concrete during construction of a super-long span bridge main tower, and relates to the technical field of general control or regulation systems. The method comprises: obtaining basic data of concrete, wherein the basic data comprises concrete component data and thermal conductivity data corresponding to the component data; setting a thermal weight of the concrete component data based on the thermal conductivity data of the component data; calculating an overall thermal conductivity score and an overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; obtaining final shape data of the concrete; determining a target area of ​​the concrete surface based on the final shape data of the concrete; determining the number of pre-embedded points of temperature sensors based on the overall thermal conductivity score and the target area; and setting a temperature sensor based on the pre-embedded point data of the temperature sensor to complete intelligent monitoring of the temperature of the concrete during construction of the super-long span bridge main tower.

Description

Technical Field

[0001] The present invention relates to the technical field of general control or regulation systems, and in particular to a device and method for intelligently monitoring the temperature of concrete during construction of a main tower of a super-long-span bridge. Background Art

[0002] Ordinary concrete refers to an artificial stone made of cement as the main cementitious material, water, sand, gravel, and chemical admixtures and mineral admixtures when necessary, mixed in appropriate proportions, and evenly mixed, compacted, and cured and hardened. Concrete is mainly divided into two stages and states: the plastic state before coagulation and hardening, that is, fresh concrete or concrete mixture. Modern buildings often involve large-volume concrete construction, such as high-rise building foundations, large equipment foundations, and water conservancy dams. When the temperature difference between the inside and outside of the concrete is large, temperature cracks will occur in the concrete, affecting the safety and normal use of the structure. The existing method of intelligent monitoring of the temperature of the main tower of a super-long span bridge is to bury temperature sensors, and the temperature sensors are buried in an evenly distributed manner, which results in a single function, high power consumption, poor accuracy, and cost waste. Summary of the invention

[0003] The object of the present invention is to provide an intelligent monitoring method for concrete temperature during construction of a super-large span bridge main tower, thereby alleviating the technical problems in the prior art of using pre-buried temperature sensors when monitoring concrete temperature, and selecting the locations of the pre-buried temperature sensors by a flat distribution, which results in inaccurate measurements and waste caused by too many unnecessary temperature sensors.

[0004] First, as Figure 1 As shown, the embodiment of the present application provides an intelligent monitoring method for concrete temperature during construction of a super-long span bridge main tower, comprising:

[0005] Acquire basic data of concrete, wherein the basic data includes concrete component data and thermal conductivity data corresponding to the component data;

[0006] Setting a thermal weight of the concrete component data based on thermal conductivity data of the component data;

[0007] Calculating an overall thermal conductivity score and an overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data;

[0008] Acquiring final shape data of the concrete;

[0009] Determine a target area on the surface of the concrete based on the final shape data of the concrete, the target area being an area where the temperature of the surface of the concrete changes by a magnitude greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, the objective data including sunshine data and windward data of the concrete in the scene;

[0010] Determining the number of pre-embedded temperature sensor points based on the overall heat conduction score and the target area;

[0011] A temperature sensor is set based on the temperature sensor pre-embedded point data to complete intelligent monitoring of the temperature of the concrete during construction of the main tower of the super-long span bridge.

[0012] Optionally, the step of obtaining the final shape data of the concrete includes:

[0013] Establishing a three-dimensional simulation model according to the concrete casting block size data;

[0014] The three-dimensional simulation model is used as the final shape data of the concrete.

[0015] Optionally, before the step of determining the target area of ​​the concrete surface based on the concrete final shape data, the method further includes:

[0016] Setting the model heat conduction of the three-dimensional simulation model based on the overall heat conduction coefficient to generate a target simulation model;

[0017] Obtain objective data of the scene where the concrete is located, wherein the objective data includes sunshine duration data of the surface of the target simulation model and wind data of the surface of the target simulation model, the sunshine duration data is the sunshine data, and the wind data is the windward data;

[0018] The temperature change data of the target simulation model is calculated based on the sunshine data and the windward data.

[0019] Optionally, the step of determining the target area of ​​the concrete surface based on the concrete final shape data includes:

[0020] Based on the temperature change data of the target simulation model and the preset temperature difference, a region of the target simulation model where the temperature change amplitude is greater than the preset temperature difference is determined as a target region of the concrete surface.

[0021] Optionally, before the step of setting the temperature sensor based on the temperature sensor pre-embedded point data to complete the intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge, the method further includes:

[0022] Obtaining a historical temperature difference of the target area, where the historical temperature difference is a temperature difference between a maximum temperature and a minimum temperature within a preset time period;

[0023] Calculating a predicted temperature difference between the center and the outer surface of the concrete within a preset time period based on the historical temperature difference and the overall thermal conductivity of the concrete;

[0024] The temperature sensor pre-embedded point data is corrected based on the predicted temperature difference and the threshold value to obtain the target sensor pre-embedded point data.

[0025] Optionally, before the step of obtaining the historical temperature difference of the target area, where the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in a preset time period, the step further includes:

[0026] Acquiring height data corresponding to the final shape data of the concrete based on the final shape data of the concrete;

[0027] Acquire absolute humidity data corresponding to the altitude data according to the altitude data;

[0028] Comparing the absolute humidity data with the absolute humidity threshold, wherein the absolute humidity threshold is a threshold determined according to the environment in which the concrete is located;

[0029] If the absolute humidity data is greater than or equal to the absolute humidity threshold, determining the target height data corresponding to the absolute humidity data;

[0030] An initial target area is screened based on the target height data to obtain the target area.

[0031] Optionally, before the step of determining the target area of ​​the concrete surface based on the concrete final shape data, the method further includes:

[0032] Acquire rainwater information of the scene where the final shape data of the concrete is located, wherein the rainwater information includes weight data of rainwater falling on a preset area of ​​the concrete surface within a preset statistical time;

[0033] Controlling the operation of the concrete cooling device based on the rainwater weight data and a preset weight threshold;

[0034] If the rainwater weight data is greater than or equal to the preset weight threshold, controlling the concrete cooling device to stop operating;

[0035] If the rainwater weight data is greater than or equal to the preset weight threshold, the concrete cooling device is controlled to operate normally.

[0036] In a second aspect, the embodiment of the present application provides an intelligent monitoring device for concrete temperature during construction of a super-long span bridge main tower, comprising:

[0037] A data acquisition module is used to obtain basic data of concrete, wherein the basic data includes concrete component data and heat conduction data corresponding to the component data; and is also used to obtain final shape data of the concrete;

[0038] a data processing module, for setting a thermal weight of the concrete component data based on the thermal conductivity data of the component data; for calculating an overall thermal conductivity score and an overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; and for determining a target area on the concrete surface based on the concrete final shape data, the target area being an area where a temperature change amplitude of the concrete surface is greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, the objective data including sunshine data and windward data of the concrete in the scene;

[0039] A determination module, configured to determine the temperature sensor pre-embedded point data based on the overall heat conduction score and the target area;

[0040] The monitoring module is used to set the temperature sensor based on the pre-buried point data of the temperature sensor to complete the intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge.

[0041] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the above-mentioned intelligent method for monitoring concrete temperature during construction of a main tower of a super-large span bridge when executing the computer program stored in the memory.

[0042] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored: when the computer program is executed by a processor, the method for intelligently monitoring the temperature of concrete during the construction of a main tower of a super-large span bridge as described above is implemented.

[0043] The present invention provides an intelligent monitoring device and method for temperature of concrete in construction of a super-long span bridge main tower. The method comprises the following steps: obtaining basic data of concrete, wherein the basic data comprises concrete component data and heat conduction data corresponding to the component data; setting a heat weight of the concrete component data based on the heat conduction data of the component data; calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the heat weight and the component data; calculating the overall heat conduction coefficient so that subsequent calculation of the temperature difference inside and outside the concrete is more accurate, and the heat conduction condition of the concrete can be obtained more intuitively; obtaining final shape data of the concrete; determining a target area on the surface of the concrete based on the final shape data of the concrete, wherein the target area is an area where the temperature change amplitude of the concrete surface is greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, wherein the objective data comprises sunshine data and windward data of the concrete in the scene; determining pre-buried point data of the temperature sensor based on the overall heat conduction score and the target area; determining the target area through the target area. The temperature sensor pre-embedded point data is determined, and the areas that need to be accurately monitored are distinguished. The temperature sensor pre-embedded points are set in the areas that need to be accurately monitored, avoiding unnecessary burying of temperature sensors, reducing costs, reducing the amount of calculation, and dividing to obtain the historical temperature difference of the target area, the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in a preset time period; based on the historical temperature difference and the overall thermal conductivity coefficient of the concrete, the predicted temperature difference between the center and the outer surface of the concrete in the preset time period is calculated; based on the predicted temperature difference and the threshold, the temperature sensor pre-embedded point data is corrected to obtain the target sensor pre-embedded point data; the temperature sensor pre-embedded point data is corrected to obtain the target sensor pre-embedded point data, and the burying mode of the temperature sensor is more accurately determined, so that the obtained temperature difference data is more accurate and meets higher requirements of the scene; the concrete temperature data of the super-large span bridge main tower construction is obtained based on the target sensor pre-embedded point data; based on the concrete temperature data of the super-large span bridge main tower construction, an alarm message is generated, and the intelligent monitoring of the concrete temperature of the super-large span bridge main tower construction is completed. When the concrete temperature data of the main tower construction of a super-large span bridge cannot meet the high requirements of the scenario, an alarm message can be generated in time to remind the staff to adjust the temperature, or the temperature adjustment device can be automatically called based on the alarm message, avoiding accidents and reducing dangers. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 A flow chart of an intelligent monitoring method for concrete temperature during construction of a super-long span bridge main tower provided in an embodiment of the present application;

[0046] Figure 2 A schematic diagram of an embodiment of an intelligent monitoring device for concrete temperature during construction of a main tower of a super-long-span bridge provided in an embodiment of the present application;

[0047] Figure 3 A schematic diagram of an electronic device provided in an embodiment of the present application;

[0048] Figure 4 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] The terms "including" and "having" and any variations thereof mentioned in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0051] like Figure 1 As shown, the embodiment of the present application provides an intelligent monitoring method for concrete temperature during construction of a super-long span bridge main tower, including:

[0052] S101, obtaining basic data of concrete, wherein the basic data includes concrete component data and thermal conductivity data corresponding to the component data;

[0053] It can distinguish different concretes so as to make subsequent selections for different scenarios.

[0054] S102, setting the thermal weight of the concrete component data based on the thermal conductivity data of the component data;

[0055] By setting weights, it is convenient to compare different concretes, making the comparison results intuitive.

[0056] S103, calculating the overall thermal conductivity score and the overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data;

[0057] The overall thermal conductivity score of the concrete can be used to easily select the optimal concrete in different scenarios without the need for testing or other methods, which is convenient and quick.

[0058] S104, obtaining the final shape data of the concrete;

[0059] In a possible implementation, the step of obtaining the final shape data of the concrete includes:

[0060] Establishing a three-dimensional simulation model according to the concrete casting block size data;

[0061] The three-dimensional simulation model is used as the final shape data of the concrete.

[0062] By establishing a three-dimensional simulation model, the concrete is materialized, and analysis based on the final shape data of the concrete is more accurate, which is conducive to analyzing the areas of the concrete that are prone to temperature changes and performing targeted treatment.

[0063] S105, determining a target area on the surface of the concrete based on the final shape data of the concrete, the target area being an area where the temperature of the surface of the concrete changes by a magnitude greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, the objective data including sunshine data and windward data of the concrete in the scene;

[0064] In a possible implementation manner, before the step of determining the target area of ​​the concrete surface based on the concrete final shape data, the step includes:

[0065] Setting the model heat conduction of the three-dimensional simulation model based on the overall heat conduction coefficient to generate a target simulation model;

[0066] Obtain objective data of the scene where the concrete is located, wherein the objective data includes sunshine duration data of the surface of the target simulation model and wind data of the surface of the target simulation model, the sunshine duration data is the sunshine data, and the wind data is the windward data;

[0067] The temperature change data of the target simulation model is calculated based on the sunshine data and the windward data.

[0068] Exemplarily, the step of determining the target area of ​​the concrete surface based on the concrete final shape data includes:

[0069] Based on the temperature change data of the target simulation model and the preset temperature difference, a region of the target simulation model where the temperature change amplitude is greater than the preset temperature difference is determined as a target region of the concrete surface.

[0070] Exemplarily, the area with sunshine duration data greater than or equal to 8 hours is taken as the target area, and the area with wind data greater than or equal to 10 hours is taken as the target area. Environmental factors are analyzed and factors causing the temperature change of the concrete are targeted for treatment, so that the monitoring process is more reasonable and the monitoring results are more accurate.

[0071] S106, determining temperature sensor pre-embedded point data based on the overall heat conduction score and the target area;

[0072] Determine the location of the temperature sensor pre-embedded point more reasonably and accurately based on the overall heat conduction score and the target area;

[0073] S107. Setting a temperature sensor based on the temperature sensor pre-embedded point data to complete intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge.

[0074] By acquiring basic data of concrete, wherein the basic data includes concrete component data and thermal conductivity data corresponding to the component data; setting thermal weights of the concrete component data based on the thermal conductivity data of the component data; calculating the overall thermal conductivity score and the overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; calculating the overall thermal conductivity coefficient so that the subsequent calculation of the temperature difference between the inside and outside of the concrete is more accurate and the thermal conductivity of the concrete can be obtained more intuitively; and obtaining the final shape data of the concrete;

[0075] The target area of ​​the concrete surface is determined based on the final shape data of the concrete, and the target area is an area where the temperature of the concrete surface changes by a magnitude greater than a preset temperature value when affected by the objective data of the scene in which the concrete is located, and the objective data includes the sunshine data and the windward data of the concrete in the scene; the temperature sensor pre-embedded point data is determined based on the overall heat conduction score and the target area; the temperature sensor pre-embedded point data is determined by the target area, and the area that needs to be accurately monitored is distinguished, and the temperature sensor pre-embedded point is set in the area that needs to be accurately monitored, thereby avoiding unnecessary burying of temperature sensors, reducing costs, and reducing the amount of calculation, and dividing and obtaining the historical temperature difference of the target area, and the historical temperature difference is the maximum temperature and the maximum temperature in a preset time period. The temperature difference of the lowest temperature; based on the historical temperature difference and the overall thermal conductivity coefficient of the concrete, the predicted temperature difference between the center and the outer surface of the concrete within a preset time period is calculated; based on the predicted temperature difference and the threshold, the temperature sensor embedded point data is corrected to obtain the target sensor embedded point data; the temperature sensor embedded point data is corrected to obtain the target sensor embedded point data, and the embedding method of the temperature sensor is more accurately determined, so that the acquired temperature difference data is more accurate and meets the higher requirements of the scene; the concrete temperature data of the super-long span bridge main tower construction is acquired based on the target sensor embedded point data; based on the concrete temperature data of the super-long span bridge main tower construction, an alarm message is generated to complete the intelligent monitoring of the concrete temperature of the super-long span bridge main tower construction. When the concrete temperature data of the super-long span bridge main tower construction cannot meet the high requirements of the scene, an alarm message can be generated in time to remind the staff to adjust the temperature, or the temperature adjustment device is automatically called based on the alarm message, thereby avoiding accidents and reducing dangers.

[0076] In a possible implementation manner, before the step of setting the temperature sensor based on the temperature sensor embedded point data to complete the intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge, the step further includes:

[0077] Obtaining a historical temperature difference of the target area, where the historical temperature difference is a temperature difference between a maximum temperature and a minimum temperature within a preset time period;

[0078] By obtaining the historical temperature difference of the target area, unnecessary monitoring is avoided when the temperature difference of the scene is not enough to cause the concrete to change, thereby ensuring the effectiveness of monitoring and avoiding wasting costs and increasing computing pressure.

[0079] Calculating a predicted temperature difference between the center and the outer surface of the concrete within a preset time period based on the historical temperature difference and the overall thermal conductivity of the concrete;

[0080] The predicted temperature difference between the center and the outer surface of the concrete within a preset time period is predicted based on the historical temperature difference, so that the change result of the concrete can be predicted before the concrete changes, and the danger caused by the cracking of the concrete can be avoided in advance.

[0081] Based on the predicted temperature difference and the threshold, the temperature sensor pre-buried point data is corrected to obtain the target sensor pre-buried point data;

[0082] The pre-buried point data of the temperature sensor are corrected to obtain the pre-buried point data of the target sensor, and then the buried number and interval of the temperature sensor are determined, so that the buried temperature sensor is more reasonable and the monitoring result is more accurate.

[0083] Exemplarily, four temperature sensors are buried at intervals of 10 cm from the concrete surface to the center of the concrete at the temperature sensor pre-buried point.

[0084] In a possible implementation, it further includes:

[0085] Acquire the concrete temperature data of the super-long span bridge main tower construction based on the target sensor pre-embedded point data, so as to reasonably and accurately acquire the concrete temperature data of the super-long span bridge main tower construction;

[0086] Based on the concrete temperature data of the super-long span bridge main tower construction, alarm information is generated to complete the intelligent monitoring of the concrete temperature of the super-long span bridge main tower construction.

[0087] It can generate alarms for dangers in a timely manner and accurately inform workers of the location of the danger, so as to facilitate timely adjustment of the temperature of the main tower of the super-long span bridge.

[0088] In a possible implementation, the step of correcting the temperature sensor pre-buried point data based on the predicted temperature difference and the threshold value to obtain the target sensor pre-buried point data includes:

[0089] Matching the predicted temperature difference with a threshold table to determine a temperature sensor embedding method corresponding to the predicted temperature difference, wherein the threshold table includes different thresholds and temperature sensor embedding methods corresponding to the different thresholds;

[0090] The temperature sensor pre-embedded point data is corrected based on the temperature sensor embedding method corresponding to the predicted temperature difference to obtain the target sensor pre-embedded point data.

[0091] The temperature sensor embedding method corresponding to the predicted temperature difference is determined by matching the predicted temperature difference with the threshold table, thereby obtaining different embedding densities and embedding methods of the temperature sensor under different predicted temperature differences.

[0092] In a possible implementation, the step of generating alarm information based on the concrete temperature data of the super-long span bridge main tower construction includes:

[0093] Based on the temperature data of the concrete for the super-long-span bridge main tower construction, a target predicted temperature difference between the center and the outer surface of the concrete for the super-long-span bridge main tower construction within a preset time period is obtained;

[0094] Matching the target predicted temperature difference with a preset safety value;

[0095] If the target predicted temperature difference is greater than or equal to the preset safety value, a danger signal is generated;

[0096] An alarm message is generated based on the danger signal, and the alarm message includes the danger position data of the concrete during the construction of the main tower of the super-long-span bridge and the target predicted temperature difference corresponding to the danger position.

[0097] It is convenient for the staff or the control system to control the temperature in time to avoid danger according to the dangerous position data of the concrete during the construction of the main tower of the super-long span bridge and the target predicted temperature difference corresponding to the dangerous position.

[0098] In a possible implementation, it further includes:

[0099] The alarm information is sent to the client of the super-long-span bridge main tower construction concrete by wireless transmission, so that the client displays the dangerous position data of the super-long-span bridge main tower construction concrete and the target predicted temperature difference corresponding to the dangerous position.

[0100] The use of wireless transmission avoids the distance requirements of wired transmission and also avoids the limitations of wired transmission affected by the line.

[0101] In a possible implementation, before the step of obtaining the historical temperature difference of the target area, where the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in a preset time period, the step further includes:

[0102] Acquiring height data corresponding to the final shape data of the concrete based on the final shape data of the concrete;

[0103] Acquire absolute humidity data corresponding to the altitude data according to the altitude data;

[0104] Comparing the absolute humidity data with the absolute humidity threshold, wherein the absolute humidity threshold is a threshold determined according to the environment in which the concrete is located;

[0105] If the absolute humidity data is greater than or equal to the absolute humidity threshold, determining the target height data corresponding to the absolute humidity data;

[0106] An initial target area is screened based on the target height data to obtain the target area.

[0107] Exemplarily, concrete structures that are close to the ground or water surface are less likely to experience temperature changes. Therefore, temperature monitoring of concrete structures that are close to the ground or water surface does not require precision, which reduces the use of the temperature sensor and avoids the probability of temperature sensor failure due to water surface or ground humidity, reduces the amount of calculation, and ensures the rationality and reliability of the objection described in the embodiment of the present application.

[0108] In a possible implementation, it further includes:

[0109] When acquiring the concrete surface temperature data, the concrete surface temperature data is collected by using a drone by presetting a path for the drone.

[0110] Exemplarily, the steps of presetting the path of the drone include:

[0111] By obtaining the sunlight direction and wind direction of the current final shape data of the concrete;

[0112] Determine the area to be monitored based on the sunshine direction and the wind direction;

[0113] Specifying a path for the drone based on the area to be monitored and the current position of the drone;

[0114] Setting the operating interval of the drone;

[0115] According to the path of the drone and the operating interval of the drone, a preset process of the path of the drone is completed.

[0116] The method avoids pre-embedding temperature sensors on the concrete surface, thereby reducing the use of the temperature sensors, reducing the probability of failure when monitoring the temperature of concrete under construction of the super-long span bridge main tower, and realizing automatic acquisition of the temperature measurement of the outer surface of the concrete under construction of the super-long span bridge main tower.

[0117] In a possible implementation manner, before the step of determining the target area of ​​the concrete surface based on the concrete final shape data, the method further includes:

[0118] Acquire rainwater information of the scene where the concrete is located, wherein the rainwater information includes weight data of rainwater falling on a preset area on the concrete surface within a preset statistical time;

[0119] Controlling the operation of the concrete cooling device based on the rainwater weight data and a preset weight threshold;

[0120] If the rainwater weight data is greater than or equal to the preset weight threshold, controlling the concrete cooling device to stop operating;

[0121] If the rainwater weight data is greater than or equal to the preset weight threshold, the concrete cooling device is controlled to operate normally.

[0122] By monitoring the weight of rainwater, the adhesion of rainwater to the concrete surface of the main tower construction of the super-large span bridge can be judged. When there is more rainwater on the concrete surface of the main tower construction of the super-large span bridge, the humidity of the concrete is higher and the flexibility is stronger, the cooling device is not called to cool the concrete, which reduces unnecessary cooling operations, saves electricity resources, and makes the solution described in this application more intelligent and reasonable.

[0123] In a possible implementation, the present application provides an intelligent monitoring device for concrete temperature during construction of a super-long span bridge main tower, including:

[0124] The data acquisition module 201 is used to obtain basic data of concrete, wherein the basic data includes concrete component data and heat conduction data corresponding to the component data; and is also used to obtain final shape data of the concrete;

[0125] The data processing module 202 is used to set the thermal weight of the concrete component data based on the thermal conductivity data of the component data; further used to calculate the overall thermal conductivity score and the overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; further used to determine the target area of ​​the concrete surface based on the final shape data of the concrete, the target area being an area where the temperature of the concrete surface changes by a greater than a preset temperature value when affected by objective data of the scene in which the concrete is located, the objective data including the sunshine data and the windward data of the concrete in the scene;

[0126] A determination module 203 is used to determine the temperature sensor pre-embedded point data based on the overall heat conduction score and the target area;

[0127] The monitoring module 204 is used to set the temperature sensor based on the temperature sensor pre-embedded point data to complete the intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge.

[0128] In a possible implementation, Figure 3As shown, an embodiment of the present application provides an electronic device, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented: obtaining basic data of concrete, wherein the basic data includes concrete component data and thermal conductivity data corresponding to the component data; setting a thermal weight of the concrete component data based on the thermal conductivity data of the component data; calculating an overall thermal conductivity score and an overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; obtaining final shape data of the concrete;

[0129] A target area on the concrete surface is determined based on the final shape data of the concrete, the target area being an area where the temperature of the concrete surface changes by a magnitude greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, the objective data including sunshine data and windward data of the concrete in the scene; the number of pre-embedded points of temperature sensors is determined based on the overall heat conduction score and the target area; and temperature sensors are set based on the pre-embedded point data of the temperature sensors to complete intelligent monitoring of the temperature of the concrete during construction of the main tower of the super-large span bridge.

[0130] In a possible implementation, Figure 4 As shown, this embodiment provides a computer-readable storage medium 400, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented: obtaining basic data of concrete, wherein the basic data includes concrete component data and thermal conductivity data corresponding to the component data; setting the thermal weight of the concrete component data based on the thermal conductivity data of the component data; calculating the overall thermal conductivity score and the overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; obtaining the final shape data of the concrete; determining the target area of ​​the concrete surface based on the final shape data of the concrete, the target area being an area where the temperature of the concrete surface changes by a greater amplitude than a preset temperature value when affected by objective data of the scene in which the concrete is located, the objective data including the sunshine data and the windward data of the concrete in the scene; determining the number of pre-embedded points of temperature sensors based on the overall thermal conductivity score and the target area;

[0131] A temperature sensor is set based on the temperature sensor pre-embedded point data to complete intelligent monitoring of the temperature of the concrete during construction of the main tower of the super-long span bridge.

[0132] In several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0133] For another example, the division of the above units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some communication interface, device or unit, which can be electrical, mechanical or other forms.

[0134] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solution of this embodiment.

[0135] In addition, each functional unit in the embodiment provided by the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0136] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above methods of various embodiments of the present invention.

[0137] The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes.

[0138] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0139] Finally, it should be noted that the above embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention. They should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An intelligent monitoring method for concrete temperature during construction of a super-long span bridge main tower, characterized in that: include: Acquire basic data of concrete, wherein the basic data includes concrete component data and thermal conductivity data corresponding to the component data; Setting a thermal weight of the concrete component data based on thermal conductivity data of the component data; Calculating an overall thermal conductivity score and an overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; Acquiring final shape data of the concrete; Determine a target area on the surface of the concrete based on the final shape data of the concrete, the target area being an area where the temperature of the surface of the concrete changes by a magnitude greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, the objective data including sunshine data and windward data of the concrete in the scene; Determining the number of pre-embedded temperature sensor points based on the overall heat conduction score and the target area; Setting a temperature sensor based on the temperature sensor pre-embedded point data to complete intelligent monitoring of the temperature of the concrete during construction of the main tower of the super-long span bridge; The step of obtaining the final shape data of the concrete comprises: Establishing a three-dimensional simulation model according to the concrete casting block size data; Using the three-dimensional simulation model as the final shape data of the concrete; Before the step of determining the target area of ​​the concrete surface based on the concrete final shape data, the method further includes: Setting the model heat conduction of the three-dimensional simulation model based on the overall heat conduction coefficient to generate a target simulation model; Obtain objective data of the scene where the concrete is located, wherein the objective data includes sunshine duration data of the surface of the target simulation model and wind data of the surface of the target simulation model, the sunshine duration data is the sunshine data, and the wind data is the windward data; Calculate the temperature change data of the target simulation model based on the sunshine data and the windward data; The step of determining the target area of ​​the concrete surface based on the concrete final shape data comprises: Based on the temperature change data of the target simulation model and the preset temperature difference, a region of the target simulation model whose temperature change amplitude is greater than the preset temperature difference is determined as a target region of the concrete surface.

2. The method for intelligent monitoring of concrete temperature during construction of a super-long span bridge main tower according to claim 1 is characterized in that: Before the step of setting the temperature sensor based on the temperature sensor pre-embedded point data to complete the intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge, the method further includes: Obtaining a historical temperature difference of the target area, where the historical temperature difference is a temperature difference between a maximum temperature and a minimum temperature within a preset time period; Calculating a predicted temperature difference between the center and the outer surface of the concrete within a preset time period based on the historical temperature difference and the overall thermal conductivity of the concrete; The temperature sensor pre-embedded point data is corrected based on the predicted temperature difference and the threshold value to obtain the target sensor pre-embedded point data.

3. The method for intelligent monitoring of concrete temperature during construction of a super-long span bridge main tower according to claim 2 is characterized in that: Before the step of obtaining the historical temperature difference of the target area, where the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in a preset time period, the step further includes: Acquiring height data corresponding to the final shape data of the concrete based on the final shape data of the concrete; Acquire absolute humidity data corresponding to the altitude data according to the altitude data; Comparing the absolute humidity data with an absolute humidity threshold, wherein the absolute humidity threshold is a threshold determined according to the environment in which the concrete is located; If the absolute humidity data is greater than or equal to the absolute humidity threshold, determining the target height data corresponding to the absolute humidity data; An initial target area is screened based on the target height data to obtain the target area.

4. The method for intelligent monitoring of concrete temperature during construction of a super-long span bridge main tower according to claim 1 is characterized in that: Before the step of determining the target area of ​​the concrete surface based on the concrete final shape data, the method further includes: Acquire rainwater information of the scene where the final shape data of the concrete is located, wherein the rainwater information includes weight data of rainwater falling on a preset area of ​​the concrete surface within a preset statistical time; Controlling the operation of the concrete cooling device based on the rainwater weight data and a preset weight threshold; If the rainwater weight data is greater than or equal to the preset weight threshold, controlling the concrete cooling device to stop operating; If the rainwater weight data is greater than or equal to the preset weight threshold, the concrete cooling device is controlled to operate normally.

5. An intelligent monitoring device for concrete temperature during construction of a super-long span bridge main tower, characterized in that: The method for intelligently monitoring the temperature of concrete during construction of a super-long-span bridge main tower according to any one of claims 1 to 4, wherein the device for intelligently monitoring the temperature of concrete during construction of a super-long-span bridge main tower comprises: A data acquisition module is used to obtain basic data of concrete, wherein the basic data includes concrete component data and heat conduction data corresponding to the component data; and is also used to obtain final shape data of the concrete; a data processing module, for setting a thermal weight of the concrete component data based on the thermal conductivity data of the component data; for calculating an overall thermal conductivity score and an overall thermal conductivity coefficient of the concrete based on the thermal weight and the component data; and for determining a target area on the concrete surface based on the concrete final shape data, the target area being an area where a temperature change amplitude of the concrete surface is greater than a preset temperature value when affected by objective data of a scene in which the concrete is located, the objective data including sunshine data and windward data of the concrete in the scene; A determination module, configured to determine the temperature sensor pre-embedded point data based on the overall heat conduction score and the target area; The monitoring module is used to set the temperature sensor based on the pre-buried point data of the temperature sensor to complete the intelligent monitoring of the temperature of the concrete during the construction of the main tower of the super-long span bridge.

6. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the intelligent monitoring method for concrete temperature during construction of a super-large span bridge main tower as described in any one of claims 1 to 4 when executing the computer program stored in the memory.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for intelligently monitoring the temperature of concrete during construction of a super-long-span bridge main tower as described in any one of claims 1 to 4 is implemented.

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