CN113591176A - Intelligent monitoring device and method for temperature of concrete for construction of super-large bridge-spanning main tower - Google Patents
Intelligent monitoring device and method for temperature of concrete for construction of super-large bridge-spanning main tower Download PDFInfo
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Abstract
The invention provides an intelligent monitoring device and method for the temperature of concrete in the construction of a main tower of a super-large span bridge, which relate to the technical field of general control or regulation systems, and the method comprises the following steps: acquiring basic data of concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data; calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data; acquiring the final shape data of the concrete; determining a target area of the concrete surface based on the concrete final shape data; determining the number of pre-buried points of the temperature sensor based on the integral heat conduction score and the target area; and setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the construction concrete temperature of the ultra-large bridge-spanning main tower.
Description
Technical Field
The invention relates to the technical field of general control or regulation systems, in particular to an intelligent monitoring device and method for the temperature of concrete in the construction of a main tower of an oversized bridge span.
Background
The common concrete is artificial stone which is prepared by taking cement as a main cementing material, adding water, sand, stones and chemical additives and mineral admixtures if necessary, mixing the materials according to a proper proportion, uniformly stirring, densely molding, curing and hardening. Concrete is mainly divided into two stages and states: the plastic state before setting and hardening, namely fresh concrete or concrete mixture, frequently relates to mass concrete construction in modern buildings, such as high-rise building foundations, large equipment foundations, water conservancy dams and the like. When the temperature difference between the inside and the outside of the concrete is large, the concrete can generate temperature cracks, and the structural safety and normal use are influenced. The mode of current to super large bridge girder king-tower construction concrete temperature intelligent monitoring is through burying temperature sensor underground, and temperature sensor buries underground and adopts evenly distributed's mode, brings the function singleness from this, and detects that power consumption is big, and the accuracy is relatively poor, causes the cost extravagant.
Disclosure of Invention
The invention aims to provide an intelligent monitoring method for the temperature of concrete in the construction of an oversized bridge-spanning main tower, which solves the technical problems that in the prior art, when the temperature of the concrete is monitored, a temperature sensor is embedded in a pre-embedded mode, and the places where the temperature sensors are embedded are selected in a tie distribution mode, so that the measurement is inaccurate, and the unnecessary temperature sensors are too many to cause waste.
In a first aspect, as shown in fig. 1, an embodiment of the present application provides an intelligent monitoring method for concrete temperature in construction of a super large bridge span main tower, including:
acquiring basic data of concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data;
setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data;
calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data;
acquiring the final shape data of the concrete;
determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the change amplitude of the concrete surface temperature is greater than a preset temperature value when influenced by objective data of a scene where the concrete is located, and the objective data comprises sunshine data and windward data of the concrete in the scene;
determining the number of pre-buried points of the temperature sensor based on the integral heat conduction score and the target area;
and setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the construction concrete temperature of the ultra-large bridge-spanning main tower.
Optionally, the step of obtaining the final shape data of the concrete includes:
establishing a three-dimensional simulation model according to the concrete pouring block size data;
and taking the three-dimensional simulation model as the final shape data of the concrete.
Optionally, before the step of determining the target area of the concrete surface based on the final shape data of the concrete, the method further includes:
setting model heat conduction of the three-dimensional simulation model based on the overall heat conduction coefficient to generate a target simulation model;
acquiring objective data of a scene where the concrete is located, wherein the objective data comprise sunshine duration data on the surface of the target simulation model and wind data on the surface of the target simulation model, the sunshine duration data are the sunshine data, and the wind data are the windward data;
and calculating temperature change data of the target simulation model based on the sunshine data and the windward data.
Optionally, the step of determining a target area of the concrete surface based on the final shape data of the concrete includes:
and determining an area of the target simulation model with the temperature change amplitude larger than a preset temperature difference value as a target area of the concrete surface based on the temperature change data of the target simulation model and the preset temperature difference value.
Optionally, before the step of setting a temperature sensor based on the temperature sensor embedded point data to complete intelligent monitoring of the temperature of the concrete for the construction of the ultra-large bridge-spanning main tower, the method further includes:
acquiring a historical temperature difference of the target area, wherein the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in 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 heat conduction coefficient of the concrete;
and correcting the temperature sensor embedded point data based on the predicted temperature difference and the threshold value to obtain target sensor embedded point data.
Optionally, before the step of obtaining the historical temperature difference of the target area, where the historical temperature difference is a temperature difference between a highest temperature and a lowest temperature in a preset time period, the method further includes:
acquiring height data corresponding to the final concrete shape data based on the final concrete shape data;
acquiring absolute humidity data corresponding to the height data according to the height data;
comparing the absolute humidity data with the absolute humidity threshold, wherein the absolute humidity threshold is determined according to the environment where the concrete is located;
if the absolute humidity data is larger than or equal to the absolute humidity threshold, determining the target height data corresponding to the absolute humidity data;
and screening an initial target area based on the target height data to obtain the target area.
Optionally, before the step of determining the target area of the concrete surface based on the final shape data of the concrete, the method further includes:
acquiring rainwater information of a scene where the concrete final shape data is located, wherein the rainwater information comprises rainwater weight data falling in a preset area on the surface of the concrete within 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 larger than or equal to the preset weight threshold, controlling the concrete cooling device to stop running;
and if the rainwater weight data is more than or equal to the preset weight threshold, controlling the concrete cooling device to normally operate.
In a second aspect, the embodiment of the present application provides an intelligent monitoring device for concrete temperature during super large bridge span main tower construction, including:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring basic data of concrete, and the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; the data acquisition unit is also used for acquiring the final shape data of the concrete;
a data processing module for setting a thermal weight of the concrete composition data based on thermal conductivity data of the composition data; further for calculating an overall heat transfer score and an overall heat transfer coefficient of the concrete based on the thermal weight and the compositional data; the system is also used for determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the transformation amplitude of the concrete surface temperature is greater than a preset temperature value when the target area is influenced by objective data of a scene where the concrete is located, and the objective data comprise sunshine data and windward data of the concrete in the scene;
the determining module is used for determining temperature sensor embedded point data based on the integral heat conduction score and the target area;
and the monitoring module is used for setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the temperature of the construction concrete of the ultra-large bridge-spanning main tower.
In a third aspect, an embodiment of the present application provides an electronic device, including: the intelligent monitoring method for the concrete temperature in the construction of the ultra-large bridge-spanning main tower comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor is used for realizing the intelligent monitoring method for the concrete temperature in the construction of the ultra-large bridge-spanning main tower when the computer program stored in the memory is executed.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored: when being executed by a processor, the computer program realizes the intelligent monitoring method for the temperature of the concrete in the construction of the ultra-large bridge-spanning main tower.
The invention provides an intelligent monitoring device and method for the temperature of concrete in the construction of a super-large bridge span main tower, which comprises the steps of obtaining basic data of the concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data; calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data; the overall heat conduction coefficient is calculated, so that the subsequent calculation of the temperature difference between the inside and the outside of the concrete is more accurate, and the heat conduction condition of the concrete can be more intuitively obtained; acquiring the final shape data of the concrete; determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the change amplitude of the concrete surface temperature is greater than a preset temperature value when influenced by objective data of a scene where the concrete is located, and the objective data comprises sunshine data and windward data of the concrete in the scene; determining temperature sensor pre-buried point data based on the overall heat conduction score and the target area; determining temperature sensor embedded point data through the target area, distinguishing areas needing accurate monitoring, setting temperature sensor embedded points in the areas needing accurate monitoring, avoiding unnecessary embedding of temperature sensors, reducing cost and calculation amount, and obtaining historical temperature difference of the target area in a dividing mode, wherein the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in 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 heat conduction coefficient of the concrete; correcting the pre-buried point data of the temperature sensor based on the predicted temperature difference and the threshold value to obtain pre-buried point data of a target sensor; correcting the pre-buried point data of the temperature sensor to obtain target sensor pre-buried point data, and more accurately determining the underground arrangement mode of the temperature sensor, so that the obtained temperature difference data is more accurate and meets the higher requirements of the scene; acquiring the temperature data of the construction concrete of the super-large bridge-spanning main tower based on the pre-buried point data of the target sensor; and generating alarm information based on the temperature data of the concrete for the construction of the oversized bridge-spanning main tower, and finishing intelligent monitoring of the temperature of the concrete for the construction of the oversized bridge-spanning main tower. When bridge king-tower construction concrete temperature data can not satisfy the ground scene of high requirement is striden to the super large, can in time produce alarm information, and then remind the staff to carry out temperature regulation work, perhaps based on alarm information automatic calling temperature regulation apparatus, avoided the accident to take place, reduce danger.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flow chart of an intelligent monitoring method for concrete temperature in the construction of a super-large bridge span main tower according to the embodiment of the application;
fig. 2 is a schematic view of an embodiment of an intelligent monitoring device for the temperature of concrete in the construction of a super-large bridge main tower according to the embodiment of the present application;
fig. 3 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the present application;
fig. 4 is a schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present application.
Detailed Description
In order to make the objects, 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 with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprising" and "having," and any variations thereof, as referred to in embodiments of the present invention, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, an embodiment of the present application provides an intelligent monitoring method for concrete temperature in a construction of a super large bridge span main tower, including:
s101, obtaining basic data of concrete, wherein the basic data comprise concrete composition data and heat conduction data corresponding to the composition data;
different concretes can be distinguished so as to be selected for different scenes in the following.
S102, setting the thermal weight of the concrete composition data based on the heat conduction data of the composition data;
different concretes are conveniently compared in a weight setting mode, so that the comparison result is visual.
S103, calculating the overall heat conduction score and the overall heat conduction coefficient of the concrete based on the thermal weight and the composition data;
through the whole heat conduction of concrete is graded and can conveniently select the optimum concrete under the different scenes, need not carry out mode selection such as test, convenient and fast.
S104, acquiring the final shape data of the concrete;
in a possible embodiment, the step of obtaining the final shape data of the concrete comprises:
establishing a three-dimensional simulation model according to the concrete pouring block size data;
and taking the three-dimensional simulation model as the final shape data of the concrete.
The concrete is materialized by establishing a three-dimensional simulation model, and the analysis based on the final shape data of the concrete is more accurate, so that the analysis of the area of the concrete, which is easy to change in temperature, is facilitated, and the specific processing is performed.
S105, determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the conversion amplitude of the surface temperature of the concrete is greater than a preset temperature value when the target area is influenced by objective data of a scene where the concrete is located, and the objective data comprise sunshine data and windward data of the concrete in the scene;
in a possible embodiment, before the step of determining the target area of the concrete surface based on the final concrete shape data, the method comprises:
setting model heat conduction of the three-dimensional simulation model based on the overall heat conduction coefficient to generate a target simulation model;
acquiring objective data of a scene where the concrete is located, wherein the objective data comprise sunshine duration data on the surface of the target simulation model and wind data on the surface of the target simulation model, the sunshine duration data are the sunshine data, and the wind data are the windward data;
and calculating temperature change data of the target simulation model based on the sunshine data and the windward data.
Illustratively, the step of determining a target area of the concrete surface based on the final concrete shape data comprises:
and determining an area of the target simulation model with the temperature change amplitude larger than a preset temperature difference value as a target area of the concrete surface based on the temperature change data of the target simulation model and the preset temperature difference value.
Illustratively, the area of receiving sunshine duration data more than or equal to 8 hours is regarded as the target area, the area of receiving wind data more than or equal to 10 hours is regarded as the target area, analyzes to environmental factor, carries out the pertinence to the factor that causes concrete temperature variation and handles for the monitoring process is more reasonable, also makes the monitoring result more accurate.
S106, determining temperature sensor embedded point data based on the integral heat conduction score and the target area;
the position of a pre-buried point of the temperature sensor is more reasonably and accurately determined based on the integral heat conduction score and the target area;
and S107, setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the temperature of the construction concrete of the ultra-large bridge-spanning main tower.
Obtaining basic data of concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data; calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data; the overall heat conduction coefficient is calculated, so that the subsequent calculation of the temperature difference between the inside and the outside of the concrete is more accurate, and the heat conduction condition of the concrete can be more intuitively obtained; acquiring the final shape data of the concrete; determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the change amplitude of the concrete surface temperature is greater than a preset temperature value when influenced by objective data of a scene where the concrete is located, and the objective data comprises sunshine data and windward data of the concrete in the scene; determining temperature sensor pre-buried point data based on the overall heat conduction score and the target area; determining temperature sensor embedded point data through the target area, distinguishing areas needing accurate monitoring, setting temperature sensor embedded points in the areas needing accurate monitoring, avoiding unnecessary embedding of temperature sensors, reducing cost and calculation amount, and obtaining historical temperature difference of the target area in a dividing mode, wherein the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in 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 heat conduction coefficient of the concrete; correcting the pre-buried point data of the temperature sensor based on the predicted temperature difference and the threshold value to obtain pre-buried point data of a target sensor; correcting the pre-buried point data of the temperature sensor to obtain target sensor pre-buried point data, and more accurately determining the underground arrangement mode of the temperature sensor, so that the obtained temperature difference data is more accurate and meets the higher requirements of the scene; acquiring the temperature data of the construction concrete of the super-large bridge-spanning main tower based on the pre-buried point data of the target sensor; and generating alarm information based on the temperature data of the concrete for the construction of the oversized bridge-spanning main tower, and finishing intelligent monitoring of the temperature of the concrete for the construction of the oversized bridge-spanning main tower. When bridge king-tower construction concrete temperature data can not satisfy the ground scene of high requirement is striden to the super large, can in time produce alarm information, and then remind the staff to carry out temperature regulation work, perhaps based on alarm information automatic calling temperature regulation apparatus, avoided the accident to take place, reduce danger.
In a possible implementation manner, before the step of setting a temperature sensor based on the temperature sensor embedded point data to complete intelligent monitoring of the temperature of the concrete for the construction of the ultra-large span bridge main tower, the method further includes:
acquiring a historical temperature difference of the target area, wherein the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in a preset time period;
by acquiring the historical temperature difference of the target area, unnecessary monitoring is avoided when the temperature difference of a scene is not enough to cause the concrete change, the effectiveness of monitoring is ensured, the waste cost is also avoided, and the calculation pressure is increased.
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 heat conduction coefficient of the concrete;
and predicting the predicted temperature difference between the center and the outer surface of the concrete in a preset time period based on the historical temperature difference, so that the change result of the concrete is predicted before the concrete changes, and the danger caused by the conditions of concrete cracking and the like can be avoided in advance.
Correcting the pre-buried point data of the temperature sensor based on the predicted temperature difference and the threshold value to obtain pre-buried point data of a target sensor;
correcting the temperature sensor embedded point data to obtain target sensor embedded point data, and further determining the embedding number and interval of the temperature sensors, so that the embedding of the temperature sensors is more reasonable, and the monitoring result is more accurate.
Illustratively, four temperature sensors are embedded at the temperature sensor embedding points from the concrete surface to the concrete center at intervals of 10 CM.
In one possible embodiment, the method further comprises:
acquiring the temperature data of the construction concrete of the main tower of the super-large bridge span based on the pre-buried point data of the target sensor;
reasonably and accurately acquiring data of the temperature of the concrete for the construction of the super-large bridge-spanning main tower;
and generating alarm information based on the temperature data of the concrete for the construction of the oversized bridge-spanning main tower, and finishing intelligent monitoring of the temperature of the concrete for the construction of the oversized bridge-spanning main tower.
The system can give an alarm to danger in time, accurately inform workers of the position where the danger occurs, and facilitate timely adjustment of the temperature of the super-large bridge-spanning main tower.
In one possible embodiment, the step of correcting the temperature sensor pre-buried point data based on the predicted temperature difference and the threshold to obtain target sensor pre-buried point data includes:
matching the predicted temperature difference with a threshold value table to determine a temperature sensor embedding method corresponding to the predicted temperature difference, wherein the threshold value table comprises different threshold values and temperature sensor embedding methods corresponding to the different threshold values;
and correcting the data of the pre-buried points of the temperature sensors based on the temperature sensor embedding method corresponding to the predicted temperature difference to obtain the data of the pre-buried points of the target sensors.
And determining a temperature sensor embedding method corresponding to the predicted temperature difference by matching the predicted temperature difference with a threshold value table, and further acquiring different embedding densities and embedding modes of the temperature sensors under the condition of different predicted temperature differences.
In a possible implementation manner, the step of generating alarm information based on the temperature data of the concrete in the construction of the ultra-large bridge-spanning main tower comprises the following steps:
acquiring a target prediction temperature difference between the center and the outer surface of the super large-span bridge main tower construction concrete in a preset time period based on super large-span bridge main tower construction concrete temperature data;
matching the target predicted temperature difference with a preset safety value;
if the target predicted temperature difference is larger than or equal to the preset safety value, generating a danger signal;
and generating alarm information based on the danger signal, wherein the alarm information comprises the danger position data of the oversized bridge-spanning main tower construction concrete and the target prediction temperature difference corresponding to the danger position.
And a worker or a control system can conveniently control the temperature in time according to the dangerous position data of the oversized bridge-spanning main tower construction concrete and the target predicted temperature difference corresponding to the dangerous position, so that danger is avoided.
In one possible embodiment, the method further comprises:
and sending the alarm information to a client of the oversized bridge-spanning main tower construction concrete in a wireless transmission mode, so that the client displays dangerous position data of the oversized bridge-spanning main tower construction concrete and the target predicted temperature difference corresponding to the dangerous position.
The wireless transmission mode is adopted, the requirement of wired transmission on distance is avoided, and the limitation caused by line influence during wired transmission is also avoided.
In a possible implementation manner, before the step of obtaining a historical temperature difference of the target area, the historical temperature difference being a temperature difference between a highest temperature and a lowest temperature within a preset time period, the method further includes:
acquiring height data corresponding to the final concrete shape data based on the final concrete shape data;
acquiring absolute humidity data corresponding to the height data according to the height data;
comparing the absolute humidity data with the absolute humidity threshold, wherein the absolute humidity threshold is determined according to the environment where the concrete is located;
if the absolute humidity data is larger than or equal to the absolute humidity threshold, determining the target height data corresponding to the absolute humidity data;
and screening an initial target area based on the target height data to obtain the target area.
Exemplarily, the concrete structure that is apart from ground or the surface of water height distance closely is difficult for taking place temperature variation, therefore the temperature monitoring of the concrete structure that is apart from ground or the surface of water height distance closely does not require the accuracy, has reduced temperature sensor's use has also avoided because the probability that surface of water or ground humidity arouse temperature sensor trouble reduces the calculated amount, has guaranteed this application embodiment the rationality and the reliability of countering.
In one possible embodiment, the method further comprises:
when the concrete surface temperature data are obtained, the unmanned aerial vehicle is used for collecting the concrete surface temperature data in a way of presetting a path of the unmanned aerial vehicle.
Illustratively, the step of presetting the way of the unmanned aerial vehicle to proceed the path includes:
acquiring the sunshine direction and the wind direction of the current concrete final shape data;
determining an area to be monitored based on the sunshine direction and the wind direction;
designating a path of the unmanned aerial vehicle based on the area to be monitored and the current position of the unmanned aerial vehicle;
setting the operation interval time of the unmanned aerial vehicle;
and finishing the preset process of the path-carrying mode of the unmanned aerial vehicle according to the path-carrying of the unmanned aerial vehicle and the operation interval time of the unmanned aerial vehicle.
The temperature sensors are prevented from being embedded in the concrete surface, the use of the temperature sensors is reduced, the fault probability of the temperature monitoring of the concrete in the construction process of the oversized bridge-spanning main tower is reduced, and the temperature measurement of the concrete surface in the construction process of the oversized bridge-spanning main tower is automatically obtained.
In a possible embodiment, before the step of determining the target area of the concrete surface based on the final shape data of the concrete, the method further comprises:
acquiring rainwater information of a scene where the concrete is located, wherein the rainwater information comprises rainwater weight data falling in a preset area on the surface of the concrete within 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 larger than or equal to the preset weight threshold, controlling the concrete cooling device to stop running;
and if the rainwater weight data is more than or equal to the preset weight threshold, controlling the concrete cooling device to normally operate.
Through monitoring rainwater weight, judge the rainwater that bridge king-tower construction concrete surface was striden to the super large adheres to the condition, works as the rainwater that bridge king-tower construction concrete surface was striden to the super large adheres to more, concrete humidity is higher, and the pliability is stronger, then does not call the heat sink right the concrete cools down, has reduced unnecessary cooling operation, has saved the electric power resource, makes this application the scheme is intelligent reasonable more.
In a possible implementation manner, an embodiment of the present application provides an intelligent monitoring device for temperature of concrete in construction of a super-large bridge-spanning main tower, including:
the data acquisition module 201 is configured to acquire basic data of concrete, where the basic data includes concrete composition data and heat conduction data corresponding to the composition data; the data acquisition unit is also used for acquiring the final shape data of the concrete;
a data processing module 202 for setting a thermal weight of the concrete composition data based on thermal conductivity data of the composition data; further for calculating an overall heat transfer score and an overall heat transfer coefficient of the concrete based on the thermal weight and the compositional data; the system is also used for determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the transformation amplitude of the concrete surface temperature is greater than a preset temperature value when the target area is influenced by objective data of a scene where the concrete is located, and the objective data comprise sunshine data and windward data of the concrete in the scene;
a determining module 203 for determining temperature sensor pre-buried point data based on the overall heat conduction score and the target area;
and the monitoring module 204 is used for setting a temperature sensor based on the embedded point data of the temperature sensor to finish the intelligent monitoring of the temperature of the concrete constructed by the ultra-large bridge-spanning main tower.
In one possible implementation, as shown in fig. 3, an electronic device is provided in an embodiment of the present application, and includes a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320, where the processor 320 executes the computer program 311 to implement the following steps: acquiring basic data of concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data; calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data; acquiring the final shape data of the concrete; determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the change amplitude of the concrete surface temperature is greater than a preset temperature value when influenced by objective data of a scene where the concrete is located, and the objective data comprises sunshine data and windward data of the concrete in the scene; determining the number of pre-buried points of the temperature sensor based on the integral heat conduction score and the target area; and setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the construction concrete temperature of the ultra-large bridge-spanning main tower.
In one possible implementation, as shown in fig. 4, the present embodiment provides a computer-readable storage medium 400, on which a computer program 411 is stored, the computer program 411 implementing the following steps when executed by a processor: acquiring basic data of concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data; calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data; acquiring the final shape data of the concrete; determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the change amplitude of the concrete surface temperature is greater than a preset temperature value when influenced by objective data of a scene where the concrete is located, and the objective data comprises sunshine data and windward data of the concrete in the scene; determining the number of pre-buried points of the temperature sensor based on the integral heat conduction score and the target area; and setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the construction concrete temperature of the ultra-large bridge-spanning main tower.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
For another example, the division of the above-mentioned units is only one logical function division, and there may be other division manners in actual implementation, and for another example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the objectives of the solution of the present embodiment.
In addition, functional units in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above functions, if implemented in the form of software functional units and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; and the modifications, changes or substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent monitoring method for the temperature of concrete in the construction of a main tower of an oversized bridge span is characterized by comprising the following steps:
acquiring basic data of concrete, wherein the basic data comprises concrete composition data and heat conduction data corresponding to the composition data;
setting a thermal weight of the concrete compositional component data based on thermal conductivity data of the compositional component data;
calculating an overall heat conduction score and an overall heat conduction coefficient of the concrete based on the thermal weight and the compositional data;
acquiring the final shape data of the concrete;
determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the change amplitude of the concrete surface temperature is greater than a preset temperature value when influenced by objective data of a scene where the concrete is located, and the objective data comprises sunshine data and windward data of the concrete in the scene;
determining the number of pre-buried points of the temperature sensor based on the integral heat conduction score and the target area;
and setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the construction concrete temperature of the ultra-large bridge-spanning main tower.
2. The intelligent monitoring method for the temperature of the concrete for the construction of the ultra-large span bridge main tower according to claim 1, wherein the step of obtaining the final shape data of the concrete comprises the following steps:
establishing a three-dimensional simulation model according to the concrete pouring block size data;
and taking the three-dimensional simulation model as the final shape data of the concrete.
3. The intelligent monitoring method for the temperature of the concrete in the construction of the ultra-large span bridge main tower according to claim 2, wherein before the step of determining the target area of the concrete surface based on the final shape data of the concrete, the method further comprises the following steps:
setting model heat conduction of the three-dimensional simulation model based on the overall heat conduction coefficient to generate a target simulation model;
acquiring objective data of a scene where the concrete is located, wherein the objective data comprise sunshine duration data on the surface of the target simulation model and wind data on the surface of the target simulation model, the sunshine duration data are the sunshine data, and the wind data are the windward data;
and calculating temperature change data of the target simulation model based on the sunshine data and the windward data.
4. The intelligent monitoring method for the temperature of the concrete for the construction of the ultra-large span bridge main tower according to claim 3, wherein the step of determining the target area of the concrete surface based on the final shape data of the concrete comprises the following steps:
and determining an area of the target simulation model with the temperature change amplitude larger than a preset temperature difference value as a target area of the concrete surface based on the temperature change data of the target simulation model and the preset temperature difference value.
5. The intelligent monitoring method for the construction concrete temperature of the main tower of the ultra-large span bridge according to claim 1, wherein before the step of setting a temperature sensor based on pre-buried point data of the temperature sensor to complete the intelligent monitoring for the construction concrete temperature of the main tower of the ultra-large span bridge, the method further comprises the following steps:
acquiring a historical temperature difference of the target area, wherein the historical temperature difference is the temperature difference between the highest temperature and the lowest temperature in 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 heat conduction coefficient of the concrete;
and correcting the temperature sensor embedded point data based on the predicted temperature difference and the threshold value to obtain target sensor embedded point data.
6. The intelligent monitoring method for the temperature of the concrete for the construction of the main tower of the ultra-large span bridge according to claim 5, wherein before the step of obtaining the historical temperature difference of the target area, the historical temperature difference being the temperature difference between the highest temperature and the lowest temperature in a preset time period, the method further comprises the following steps:
acquiring height data corresponding to the final concrete shape data based on the final concrete shape data;
acquiring absolute humidity data corresponding to the height data according to the height data;
comparing the absolute humidity data with the absolute humidity threshold, wherein the absolute humidity threshold is determined according to the environment where the concrete is located;
if the absolute humidity data is larger than or equal to the absolute humidity threshold, determining the target height data corresponding to the absolute humidity data;
and screening an initial target area based on the target height data to obtain the target area.
7. The intelligent monitoring method for the temperature of the concrete in the construction of the ultra-large span bridge main tower according to claim 1, wherein before the step of determining the target area of the concrete surface based on the final shape data of the concrete, the method further comprises the following steps:
acquiring rainwater information of a scene where the concrete final shape data is located, wherein the rainwater information comprises rainwater weight data falling in a preset area on the surface of the concrete within 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 larger than or equal to the preset weight threshold, controlling the concrete cooling device to stop running;
and if the rainwater weight data is more than or equal to the preset weight threshold, controlling the concrete cooling device to normally operate.
8. The utility model provides a bridge king-tower construction concrete temperature intelligent monitoring device is striden to super large, a serial communication port, includes:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring basic data of concrete, and the basic data comprises concrete composition data and heat conduction data corresponding to the composition data; the data acquisition unit is also used for acquiring the final shape data of the concrete;
a data processing module for setting a thermal weight of the concrete composition data based on thermal conductivity data of the composition data; further for calculating an overall heat transfer score and an overall heat transfer coefficient of the concrete based on the thermal weight and the compositional data; the system is also used for determining a target area of the concrete surface based on the final shape data of the concrete, wherein the target area is an area in which the transformation amplitude of the concrete surface temperature is greater than a preset temperature value when the target area is influenced by objective data of a scene where the concrete is located, and the objective data comprise sunshine data and windward data of the concrete in the scene;
the determining module is used for determining temperature sensor embedded point data based on the integral heat conduction score and the target area;
and the monitoring module is used for setting a temperature sensor based on the pre-buried point data of the temperature sensor to finish intelligent monitoring of the temperature of the construction concrete of the ultra-large bridge-spanning main tower.
9. An electronic device, comprising: the intelligent monitoring method for the temperature of the concrete in the construction process of the ultra-large span bridge main tower is characterized by comprising a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor is used for realizing the intelligent monitoring method for the temperature of the concrete in the construction process of the ultra-large span bridge main tower according to any one of claims 1 to 7 when the computer program stored in the memory is executed.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is used for realizing the intelligent monitoring method for the construction concrete temperature of the ultra-large span bridge main tower according to any one of claims 1-7 when being executed by a processor.
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