CN117472111B - Multi-source data driving-based intelligent temperature control method and system for mass concrete - Google Patents
Multi-source data driving-based intelligent temperature control method and system for mass concrete Download PDFInfo
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Abstract
The invention provides a multi-source data driving-based intelligent temperature control method and system for mass concrete, wherein the method comprises the steps of determining a plurality of influence factors which have the greatest influence on the internal and external temperature differences of the mass concrete; fusing a plurality of influence factors through an orthogonal test to obtain the optimal curing condition of the mass concrete and the influence degree of each influence factor on the internal and external temperature difference of the mass concrete; inputting an optimal value corresponding to each influence factor corresponding to the optimal curing condition into simulation software, and simulating to obtain a relationship curve of the change of the temperature difference inside and outside the mass concrete along with time; measuring the current internal and external temperature difference of the mass concrete in real time; and determining the difference value of the current internal and external temperature difference and the temperature difference of the corresponding time point on the relation curve, combining the influence degree of each influence factor on the internal and external temperature difference of the mass concrete, and controlling and changing the value of the influence factor according to the difference value. In the scheme, the temperature difference between the inside and the outside of different time periods in the concrete construction process is controlled so as to improve the engineering quality.
Description
Technical Field
The invention relates to the technical field of mass concrete construction, in particular to an intelligent mass concrete temperature control method and system based on multi-source data driving.
Background
At present, in engineering construction, a large-volume concrete member is often required to be poured, and in the solidification process of the large-volume concrete member, cement is hydrated to release a large amount of heat and is gathered in the concrete member, so that cracks can be generated in the concrete member, the quality of the concrete member can be obviously influenced due to overlarge temperature difference between the concrete member and the outside, and the safety of the building is seriously endangered.
When the temperature difference between the inside and the outside of a concrete pouring block exceeds the temperature difference threshold value, cooling water is poured into a cooling pipe to control the temperature of a concrete member so as to reduce the influence of hydration heat on the quality of the concrete member.
However, in actual engineering, the temperature difference between the inside and the outside corresponding to different time periods is different in the hardening process of the concrete, and the temperature difference threshold value is only 25 ℃ in the whole hardening process, which is not the optimal condition for preventing the concrete from cracking. Therefore, it is necessary to combine the various influencing factors of the concrete during construction and to achieve accurate temperature control over different time periods.
Disclosure of Invention
The invention aims to provide a multi-source data-driven intelligent temperature control method and system for mass concrete, which aim at controlling the temperature difference between the inside and the outside of the concrete in different time periods in the construction process, and can realize intelligent temperature control and reduce the cost.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a method for intelligent temperature control of mass concrete based on multi-source data driving, including:
determining a plurality of influencing factors which have the greatest influence on the internal and external temperature difference of the mass concrete;
Fusing the influence factors through an orthogonal test to obtain the optimal curing condition of the mass concrete and the influence degree of each influence factor on the internal and external temperature difference of the mass concrete; the optimal maintenance condition is a combination of optimal values of each influence factor;
inputting the optimal value of each influence factor in the optimal curing condition into a pre-constructed concrete model to obtain a relationship curve of the internal and external temperature difference of the mass concrete along with the time change;
Measuring the current internal and external temperature difference of the mass concrete in real time;
And determining the difference value of the current internal and external temperature difference and the temperature difference of the corresponding time point on the relation curve, and adjusting the value of the corresponding influence factor according to the difference value by combining the influence degree of each influence factor on the internal and external temperature difference of the mass concrete.
Further, determining a difference value between the current internal and external temperature difference and a temperature difference of a corresponding time point on the relation curve, and adjusting a value of a corresponding influence factor according to the difference value by combining the influence degree of each influence factor on the internal and external temperature difference of the mass concrete, wherein the method comprises the following steps:
If the current internal and external temperature difference is larger than the value of the corresponding time point on the relation curve, generating warning reminding, and adjusting the value of the corresponding influence factor according to the influence degree of the influence factor on the concrete;
and if the current internal and external temperature difference is smaller than the value of the corresponding time point on the relation curve, generating an energy-saving reminder, and adjusting the value of the corresponding influence factor according to the influence degree of the influence factor on the concrete.
Further, after the real-time measurement of the current internal and external temperature difference of the mass concrete, the method further comprises: and determining an abnormal value existing in the current internal and external temperature difference data, and compensating the abnormal value.
Further, the determining the abnormal value existing in the current internal and external temperature difference data includes:
acquiring n pieces of internal and external temperature difference data y i, i=1, 2, … and n;
Obtaining a fitted internal and external temperature difference curve s i according to the n internal and external temperature difference data, wherein i=1, 2, … and n;
Calculating the difference sequence d i of y i and s i, i=1, 2, …, n;
Calculating the mean value mu and standard deviation sigma of d i, and recording indexes of data in d i which are not in the range of (mu-k sigma, mu+k sigma), wherein the value of k is selected according to the fluctuation condition of the data;
points in the original data at corresponding index positions are set to outliers.
Further, the obtaining a fitted temperature difference curve according to the n internal and external temperature difference data includes:
S1, any value J is taken, wherein 0<J is less than or equal to n, and J is an integer;
s2, calculating to obtain a temperature difference curve S i according to the following formula:
Wherein S i is a fitted temperature difference curve, y i is actually measured internal and external temperature difference data, and J is a value obtained in the step S1;
S3, calculating standard deviation e cv of the internal and external temperature difference data y i and the data on the internal and external temperature difference curve S i:
Wherein, S i is a fitted temperature difference curve, and y i is actually measured internal and external temperature difference data;
S4, adjusting the value of J, and repeating the steps S2 and S3 to obtain the J value with the minimum standard deviation e cv;
and S5, calculating a corresponding fitting curve based on the formula in the step S2 according to the J value obtained in the step S4.
Further, the fusing the plurality of influencing factors by orthogonal experiments includes:
Determining an orthogonal table of an orthogonal test based on the plurality of influencing factors and a plurality of horizontal states corresponding to each influencing factor;
performing digital simulation on a plurality of groups of test schemes in the orthogonal table to obtain internal and external temperature differences and risk coefficients corresponding to each group of test schemes;
Performing extremely poor analysis on the internal and external temperature differences and the risk coefficient to obtain experimental results of each group of experimental schemes;
Determining a target test scheme and the influence degree of the influence factors on the mass concrete according to the test result; and combining a plurality of influence factors corresponding to the target test scheme into the optimal curing condition of the mass concrete.
In a second aspect, an embodiment of the present application further provides a multi-source data driven intelligent mass concrete temperature control system, to implement a method as described above, where the system includes:
The temperature sensor group is arranged at a temperature measuring point of the mass concrete and is used for collecting temperature signals on the surface and in the temperature measuring point;
The cooling water pipe is embedded in the mass concrete;
And the control unit is used for receiving the temperature signals detected by the temperature sensors, comparing the internal and external temperature differences of each temperature measuring point with the simulated relation curve, and generating warning reminding or energy-saving reminding according to the comparison result.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
At least one memory for storing a computer program;
at least one processor configured to implement the method of any one of the preceding claims when executing the computer program.
In a fourth aspect, embodiments of the present invention further provide a computer readable storage medium having stored thereon a computer program as described above, which when executed by a processor, implements a method as described in any of the above.
The invention has the beneficial effects that: the embodiment of the invention provides a multi-source data driving-based intelligent temperature control method for mass concrete, which is characterized in that a plurality of influence factors are fused and analyzed through orthogonal tests to obtain the optimal curing condition of the mass concrete and the influence degree of each influence factor on the mass concrete, an internal and external temperature difference curve in the concrete construction process is obtained through simulation according to the optimal curing condition, the current internal and external temperature difference measured in real time is compared with the temperature difference curve obtained through simulation, accurate temperature control can be achieved in different time periods according to comparison results, and the curing work of the mass concrete can be efficiently and high-quality completed. If the actually measured internal and external temperature difference is larger than the simulated internal and external temperature difference curve, measures are sequentially added according to the influence degree of each influence factor on the mass concrete, so that the cracking risk is reduced; if the actually measured internal and external temperature difference is smaller than the simulated internal and external temperature difference curve, measures are sequentially reduced to save cost.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
FIG. 1 is a schematic flow chart of a multi-source data-driven intelligent temperature control method for mass concrete according to an embodiment of the invention;
FIG. 2 is a graph showing the relationship between the internal and external temperature differences of mass concrete with time under the optimal curing conditions provided by the embodiment of the invention;
Fig. 3 is a schematic flow chart of implementing temperature control by the control unit according to the embodiment of the present invention;
fig. 4 is an electronic device provided in an embodiment of the present invention.
Detailed Description
The following detailed description of the invention, when taken in conjunction with the accompanying drawings, will clearly and fully describe the embodiments described below, some, but not all of which are indicative of the invention. The invention will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, embodiments of the present invention and features in the embodiments may be combined with each other.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate an orientation or a positional relationship based on the orientation or the positional relationship shown in the drawings. It is intended to be merely illustrative of the invention and simplified of the description, rather than indicative or chronological, of the particular orientation of the device or elements to be constructed and operated in a particular orientation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Bulky concrete generally refers to cast-in-place concrete that is so bulky that measures must be taken to handle the temperature differences generated by hydration heat, and that is manually designed to address the stresses caused by temperature-difference phase changes, and to control crack initiation or limit crack expansion. In the current construction process, the construction temperature control of each link in the construction process of the mass concrete is very strict, and particularly, according to the national standard, the maximum temperature difference threshold of the concrete in the hardening process is set to 25 ℃, and the setting mode is excessively dead and is not the optimal condition for preventing the concrete from cracking. Therefore, the embodiment of the invention provides a multi-source data-driven intelligent temperature control method for mass concrete, which aims at realizing accurate temperature control of the concrete in different time periods of a hardening process so as to prevent the concrete from cracking and improve the construction quality of engineering.
The intelligent temperature control method for the large-volume concrete based on multi-source data driving is generally applied to an intelligent temperature control system for the large-volume concrete, and the intelligent temperature control system for the large-volume concrete comprises a temperature sensor, a cooling water pipe, a control unit and the like.
Referring to fig. 1, fig. 1 is a flow chart of an intelligent temperature control method for mass concrete based on multi-source data driving according to an embodiment of the present invention, where the intelligent temperature control method for mass concrete includes: step S101: determining a plurality of influencing factors which have the greatest influence on the internal and external temperature difference of the mass concrete; step S102: fusing a plurality of influence factors through an orthogonal test to obtain the optimal curing condition of the mass concrete and the influence degree of each influence factor on the internal and external temperature difference of the mass concrete; the optimal maintenance condition is the combination of the optimal values of each influencing factor; step S103: inputting the optimal value of each influence factor in the optimal curing condition into a pre-constructed concrete model to obtain a relationship curve of the change of the temperature difference inside and outside the mass concrete along with time; step S104: measuring the current internal and external temperature difference of the mass concrete in real time; step S105: and determining the difference value of the current internal and external temperature difference and the temperature difference of the corresponding time point on the relation curve, combining the influence degree of each influence factor on the internal and external temperature difference of the mass concrete, and adjusting the value of the corresponding influence factor according to the difference value.
In the above step S101, a plurality of influencing factors having the greatest influence on the internal and external temperature difference of the mass concrete are determined.
In the embodiment of the application, firstly, the influence of a single factor on the cracking risk of concrete is researched, and 6 influence factors with the largest influence on the internal and external temperature difference of the concrete are determined based on a single factor analysis result, wherein the influence factors are respectively as follows: adiabatic temperature rise, convection coefficient, mold entering temperature, cooling water flow rate, cooling water temperature and cooling water pipe diameter, and determining a reference value corresponding to each influence factor.
In the step S102, a plurality of influencing factors are fused through an orthogonal test, so as to obtain the optimal curing condition of the mass concrete and the influence degree of each influencing factor on the temperature difference inside and outside the mass concrete.
Specifically, fusing a plurality of influencing factors through orthogonal experiments includes: determining an orthogonal table of an orthogonal test based on a plurality of influencing factors and a plurality of horizontal states corresponding to each influencing factor; performing digital simulation on a plurality of groups of test schemes in the orthogonal table to obtain internal and external temperature differences and risk coefficients corresponding to each group of test schemes; and determining a target experimental scheme according to the internal temperature difference and the risk coefficient, wherein a plurality of influence factors corresponding to the target experimental scheme are combined into the optimal curing condition of the mass concrete. Wherein, the optimal maintenance condition is the combination of the optimal values of each influencing factor.
In the embodiment of the invention, L 18(36) orthogonal table is adopted, and the factor-level table designed by fusing 6 influencing factors is as follows:
TABLE 1 factor-level table
The orthogonal test table is designed according to the level-factor table, the test comprises 6 factors, each factor corresponds to 3 level states, 18 groups of initial conditions are added, and numerical simulation is carried out through MIDAS FEA according to the determined influencing factors. The maintenance period set in this orthogonal experiment was 28 days and a set of data was recorded every 4 hours. The orthogonal test table data are as follows:
TABLE 2 orthogonal test chart
Analyzing the data in the orthogonal test table by means of the range analysis to obtain a test result range analysis table:
TABLE 3 test results extremely poor analysis Table
From the experimental results very poor analysis table it can be concluded that:
The optimal combination of initial conditions is that the adiabatic temperature rise is 55 ℃, the convection coefficient is 12 kJ/(m2.hr.DEG C), the mold entering temperature is 15 ℃, the cooling water flow rate is 1m3/h, the cooling water temperature is 20 ℃, the cooling water pipe diameter is 0.042m, and the order of influence factors on the mass concrete from big to small is the mold entering temperature, the convection coefficient, the adiabatic temperature rise, the cooling water temperature, the cooling water flow rate and the cooling water pipe diameter.
In summary, the orthogonal test table relatively fully analyzes the influence of each influence factor on the internal and external temperature difference in the curing period of the mass concrete.
In the step S103, the optimal value of each influence factor in the optimal curing condition is input into the pre-constructed concrete model, and a relationship curve of the internal and external temperature difference of the mass concrete with time is obtained.
In the embodiment, the concrete model is constructed based on a random aggregate model, a dwg file of polygonal random aggregate is generated by using a CAD polygonal random aggregate plug-in, and the file can be further imported into finite element simulation software such as abaqus, comsol, ansys for simulation, so as to obtain a pre-constructed concrete model.
According to the optimal curing conditions obtained through orthogonal test analysis, values of 6 influence factors are input into MIDAS FEA software to be calculated to obtain an internal and external temperature difference curve graph, and the internal and external temperature difference curve graph is used for showing the relation curve graph of the internal and external temperature difference of the mass concrete with time change under the optimal curing conditions as shown in figure 2.
In the step S104, the current temperature difference between the inside and the outside of the mass concrete is measured in real time.
According to the embodiment of the invention, the temperature sensor detects the internal temperature and the external temperature of the concrete in real time, and the temperature value obtained by the temperature sensor is simulated to obtain an internal and external temperature difference curve of the concrete, wherein a sudden rise or a sudden fall point appears in the temperature difference curve. After the current internal and external temperature difference of the mass concrete is measured in real time, determining an abnormal value existing in the current internal and external temperature difference data, and compensating the abnormal value.
Specifically, determining the abnormal value present in the internal and external temperature difference data includes:
1) N pieces of inside-outside temperature difference data y i, i=1, 2, …, n are acquired.
2) And obtaining a fitted internal and external temperature difference curve s i according to n internal and external temperature difference data, wherein i=1, 2, … and n.
The step of obtaining the fitted internal and external temperature difference curve comprises the following steps:
s1, any value J is taken, wherein 0<J is less than or equal to n, and J is an integer.
S2, calculating to obtain a temperature difference curve S i according to the following formula:
Wherein S i is a fitted temperature difference curve, y i is actually measured internal and external temperature difference data, and J is a value obtained in the step S1.
S3, calculating the standard deviation e cv of the internal and external temperature difference data y i and the data on the internal and external temperature difference curve S i:
Wherein, S i is a fitted temperature difference curve, and y i is actually measured internal and external temperature difference data.
S4, adjusting the value of J, and repeating the steps S2 and S3 to obtain the J value with the minimum standard deviation e cv.
And S5, calculating a corresponding fitting curve based on the formula in the step S2 according to the J value obtained in the step S4.
3) The sequence of differences d i, i=1, 2, …, n of y i and s i is calculated.
4) The mean μ and standard deviation σ of d i are calculated, and the index of data in d i that is not in the range of (μ -kσ, μ+kσ) is recorded, where the value of k is chosen according to the data fluctuation.
5) Points in the original data at corresponding index positions are set to outliers.
After the obtained abnormal value data is determined, fitting the abnormal value based on a least square method, predicting the most similar data, and compensating the abnormal value. The method for compensating the determined abnormal value based on the least square method can adopt the prior art, and the embodiment of the invention does not specifically limit the compensation process of the abnormal value.
In the step S105, the difference between the current internal and external temperature differences and the temperature difference at the corresponding time point on the relation curve is determined, and the value of the corresponding influence factor is adjusted according to the difference by combining the influence degree of each influence factor on the internal and external temperature differences of the mass concrete.
Specifically, if the current internal and external temperature difference is larger than the value of the corresponding time point on the relation curve, generating warning reminding, and adjusting the value of the corresponding influence factor according to the influence degree of the influence factor on the concrete; if the current internal and external temperature difference is smaller than the value of the corresponding time point on the relation curve, generating an energy-saving reminder, and adjusting the value of the corresponding influence factor according to the influence degree of the influence factor on the concrete.
The method comprises the steps of measuring the current internal and external temperature difference in real time, determining an ideal temperature difference corresponding to a current time point based on a relation curve obtained through simulation, determining a difference value between the current internal and external temperature difference and the temperature difference of the time point corresponding to the relation curve, and determining the value of an influence factor of adjustment based on the difference value and the influence degree of each influence factor on concrete. The difference ranges are classified into different grades according to the influence degree of influence factors on the temperature difference inside and outside the concrete, the value of each influence factor corresponds to one difference range, and the corresponding relation between the difference ranges and the values of the influence factors is stored in a memory in the equipment, for example: when the difference is larger than 60 ℃, adjusting the value of the mold entering temperature which has the greatest influence on the temperature difference between the inside and outside of the concrete; when the difference value is between 40 ℃ and 60 ℃, the value of the adiabatic temperature rise is regulated; when the difference is between 20 ℃ and 40 ℃, the temperature of the cooling water is regulated; and when the difference is smaller than 20 ℃, adjusting the flow rate of the cooling water.
It should be noted that, in the embodiment of the present invention, the convection coefficient and the cooling water pipe diameter of the above 6 influencing factors are fixed values during hardening and curing of the bulk concrete. When the temperature difference between the inside and the outside measured in real time is larger than the temperature difference of the corresponding time point on the relation curve, corresponding influencing factors are adjusted according to the difference value of the inside and the outside measured in real time; when the temperature difference between the inside and the outside measured in real time is smaller than the temperature difference of the corresponding time point on the relation curve, the flow speed of the cooling water is reduced or the cooling water is closed, the cooling water temperature is increased, and heat preservation measures are reduced, so that the energy consumption is reduced.
The embodiment of the invention provides a multi-source data driving-based intelligent temperature control method for mass concrete, which is characterized in that a plurality of influence factors are fused and analyzed through orthogonal tests to obtain the optimal curing condition of the mass concrete and the order of the influence of each influence factor on the mass concrete, an internal and external temperature difference curve in the hardening process of the concrete is obtained through simulation according to the optimal curing condition, the current internal and external temperature difference measured in real time is compared with the temperature difference curve obtained through simulation, and the accurate temperature control can be achieved in different time periods according to the comparison result, so that the curing work of the mass concrete can be efficiently and high-quality completed. If the actually measured internal and external temperature difference is larger than the simulated internal and external temperature difference curve, the measure is increased according to the influence of each influence factor on the mass concrete, and the cracking risk is reduced; if the actually measured internal and external temperature difference is smaller than the simulated internal and external temperature difference curve, measures are sequentially reduced to save cost.
The embodiment of the invention also provides a large-volume concrete intelligent temperature control system based on multi-source data driving, which comprises the following steps: temperature sensor, condenser tube and control unit. The temperature sensor is pre-buried at a temperature measuring point before concrete pouring and is used for acquiring the internal and external temperatures of the concrete. Fig. 3 is a schematic flow chart of a control unit for realizing temperature control, and the control unit generates an alarm prompt or an energy-saving prompt according to a comparison result.
Specifically, the cooling water pipe is embedded in the mass concrete. The cooling water pipe is provided with a plurality of, and cooling water can cool down the inside different positions of bulky concrete when flowing in the cooling water pipe.
The embodiment of the application also provides an electronic device, as shown in fig. 4, including: a memory 20 for storing a computer program; a processor 21 for carrying out the steps of the method as mentioned in the above embodiments when executing a computer program.
The electronic device provided in this embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like.
Processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The Processor 21 may be implemented in at least one hardware form of a digital signal Processor (DIGITAL SIGNAL Processor, DSP), field-Programmable gate array (FPGA), and Programmable logic array (Programmable Logic Array, PLA). The processor 21 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a central processor (Central Processing Unit, abbreviated as CPU); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with an image processor (Graphics Processing Unit, GPU for short) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 21 may also include an artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) processor for processing computing operations related to machine learning.
Memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing a computer program, wherein the computer program, when loaded and executed by the processor 21, is capable of implementing the relevant steps of the method disclosed in any of the previous embodiments. In addition, the resources stored in the memory 20 may also include an operating system, data, etc., and the storage manner may be transient storage or permanent storage. The operating system may include Windows, unix, linux, among other things. The data may include, but is not limited to, related data and the like involved in the above-described method.
Those skilled in the art will appreciate that the structure shown in fig. 4 is not limiting of the electronic device and may include more or fewer components than shown.
The electronic device provided by the embodiment of the application comprises a memory and a processor, wherein the processor can realize the method mentioned in the embodiment when executing the program stored in the memory.
Finally, the application also provides a corresponding embodiment of the computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps as described in the method embodiments above.
It will be appreciated that the methods of the above embodiments, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored on a computer readable storage medium. Based on this understanding, the technical solution of the present application, or the part contributing to the prior art or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium, performing all or part of the steps of the above-described method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk, or an optical disk, etc., which can store program codes.
The present application has been described in detail above. In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the apparatus disclosed in the examples, since it corresponds to the method disclosed in the examples, the description is relatively simple, and the relevant points are referred to in the description of the method section. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the application can be made without departing from the principles of the application and these modifications and adaptations are intended to be within the scope of the application as defined in the following claims.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (6)
1. The intelligent temperature control method for the mass concrete based on multi-source data driving is characterized by comprising the following steps of:
determining a plurality of influencing factors which have the greatest influence on the internal and external temperature difference of the mass concrete;
Fusing the influence factors through an orthogonal test to obtain the optimal curing condition of the mass concrete and the influence degree of each influence factor on the internal and external temperature difference of the mass concrete; the optimal maintenance condition is a combination of optimal values of each influence factor;
inputting the optimal value of each influence factor in the optimal curing condition into a pre-constructed concrete model to obtain a relationship curve of the internal and external temperature difference of the mass concrete along with the time change;
Measuring the current internal and external temperature difference of the mass concrete in real time;
determining the difference value of the current internal and external temperature difference and the temperature difference of the corresponding time point on the relation curve, and adjusting the value of the corresponding influence factor according to the difference value by combining the influence degree of each influence factor on the internal and external temperature difference of the mass concrete;
after the current internal and external temperature difference of the mass concrete is measured in real time, the method further comprises the following steps: determining an abnormal value existing in the current internal and external temperature difference data, and compensating the abnormal value;
the determining the abnormal value existing in the current internal and external temperature difference data comprises the following steps:
Acquisition of Internal and external temperature difference data/>；
According to the describedThe internal and external temperature difference data are obtained to be fitted with internal and external temperature difference curves/>；
Calculation ofAnd/>Difference sequence/>；
Calculation ofMean/>And standard deviation/>Record/>Is not in/>Index of in-range data, where/>The value of (2) is selected according to the fluctuation condition of the data;
Setting points at corresponding index positions in the original data as outliers;
the fusing the plurality of influencing factors by orthogonal experiments includes:
Determining an orthogonal table of an orthogonal test based on the plurality of influencing factors and a plurality of horizontal states corresponding to each influencing factor;
performing digital simulation on a plurality of groups of test schemes in the orthogonal table to obtain internal and external temperature differences and risk coefficients corresponding to each group of test schemes;
Performing extremely poor analysis on the internal and external temperature differences and the risk coefficient to obtain experimental results of each group of experimental schemes;
determining a target test scheme and the influence degree of the influence factors on the mass concrete according to the test result; and combining a plurality of influence factors corresponding to the target test scheme into the optimal curing condition of the mass concrete.
2. The method according to claim 1, wherein determining the difference between the current temperature difference between the inside and outside temperature differences and the temperature difference at the corresponding time point on the relation curve, and combining the degree of influence of each influence factor on the temperature difference between the inside and outside of the bulk concrete, adjusting the value of the corresponding influence factor according to the difference, comprises:
If the current internal and external temperature difference is larger than the value of the corresponding time point on the relation curve, generating warning reminding, and adjusting the value of the corresponding influence factor according to the influence degree of the influence factor on the concrete;
And if the current internal and external temperature difference is smaller than the value of the corresponding time point on the relation curve, generating an energy-saving reminder, and adjusting the value of the corresponding influence factor according to the influence degree of the influence factor on the concrete.
3. The method according to claim 1, wherein said step ofObtaining a fitted temperature difference curve from the internal and external temperature difference data, wherein the fitted temperature difference curve comprises:
S1, taking any value Wherein/>And/>Is an integer;
S2, calculating according to the following formula to obtain a temperature difference curve ：
Wherein,For the fitted temperature difference curve,/>For the actually measured internal and external temperature difference data,/>The value taken in the step S1 is obtained;
S3, calculating the internal and external temperature difference data And the inner and outer temperature difference curve/>Standard deviation/>, of the above data：
Wherein,Is the square of standard deviation,/>For the fitted temperature difference curve,/>The temperature difference data is actually measured inside and outside;
S4, adjusting Repeating steps S2 and S3 to obtain the standard deviation/>Minimal hours/>A value;
S5, according to the step S4 The value, based on the formula in step S2, is calculated to obtain the corresponding fitted curve.
4. A multi-source data driven based intelligent temperature control system for mass concrete, implementing the method as claimed in any one of the preceding claims 1 to 3, comprising:
The temperature sensor group is arranged at a temperature measuring point of the mass concrete and is used for collecting temperature signals on the surface and in the temperature measuring point;
The cooling water pipe is embedded in the mass concrete;
And the control unit is used for receiving the temperature signals detected by the temperature sensors, comparing the internal and external temperature differences of each temperature measuring point with the simulated relation curve, and generating warning reminding or energy-saving reminding according to the comparison result.
5. An electronic device, comprising:
At least one memory for storing a computer program;
At least one processor configured to implement the method of any one of claims 1 to 3 when executing the computer program.
6. A computer readable storage medium, characterized in that it has stored thereon a computer program according to claim 5, which, when executed by a processor, implements a method according to any of claims 1 to 3.
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| AU2020101854A4 (en) * | 2020-08-17 | 2020-09-24 | China Communications Construction Co., Ltd. | A method for predicting concrete durability based on data mining and artificial intelligence algorithm |
| CN114091756A (en) * | 2021-11-23 | 2022-02-25 | 国家海洋环境预报中心 | Township tsunami risk assessment method based on Thiessen polygon |
| CN116029168A (en) * | 2022-08-12 | 2023-04-28 | 中国水利水电科学研究院 | Concrete temperature control anti-cracking evaluation method based on reliability analysis |
| CN116680782A (en) * | 2023-05-23 | 2023-09-01 | 中交一公局集团有限公司 | Large-volume concrete construction temperature control method based on temperature rise regulation and control |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| AU2020101854A4 (en) * | 2020-08-17 | 2020-09-24 | China Communications Construction Co., Ltd. | A method for predicting concrete durability based on data mining and artificial intelligence algorithm |
| CN114091756A (en) * | 2021-11-23 | 2022-02-25 | 国家海洋环境预报中心 | Township tsunami risk assessment method based on Thiessen polygon |
| CN116029168A (en) * | 2022-08-12 | 2023-04-28 | 中国水利水电科学研究院 | Concrete temperature control anti-cracking evaluation method based on reliability analysis |
| CN116680782A (en) * | 2023-05-23 | 2023-09-01 | 中交一公局集团有限公司 | Large-volume concrete construction temperature control method based on temperature rise regulation and control |
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