CN112288221A - Vibration quality detection method, system and device and electronic equipment - Google Patents
Vibration quality detection method, system and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application discloses a vibration quality detection method, a vibration quality detection system, a vibration quality detection device and electronic equipment. The method comprises the following steps: constructing a quality detection model; acquiring the characteristic information of the concrete after the disturbance at the current time; inputting the characteristic information into the quality detection model to obtain the vibrating quality parameters of the concrete output by the quality detection model; and detecting the vibration quality of the concrete based on the vibration quality parameters. According to the method, the vibration quality parameters of the concrete are obtained through the pre-constructed quality detection model, then the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of the vibration quality parameters of the concrete output by the quality detection model is high because the quality detection model is trained based on a large number of data samples in advance, so that the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of detecting the vibration quality of the concrete is improved.
Description
Technical Field
The application belongs to the technical field of concrete pouring, and particularly relates to a vibration quality detection method, a vibration quality detection system, a vibration quality detection device, electronic equipment and a storage medium.
Background
Concrete vibration refers to vibrating and tamping concrete mixtures discharged into a pouring bin so as to meet design quality requirements. Because the concrete vibration construction link is the key related to the building forming quality, the vibration quality of the concrete must be reliably detected, and then the defects are timely fed back and repaired, so that the construction quality is ensured. However, the related concrete quality detection method introduces a machine vision method, and the accuracy of the concrete vibration quality detection by the method is still to be improved, wherein the vibration quality in the concrete is deduced according to the concrete state of the surface layer.
Disclosure of Invention
In view of the above problems, the present application proposes a vibration quality detection method, system, apparatus, electronic device, and storage medium to improve the above problems.
In a first aspect, an embodiment of the present application provides a vibration quality detection method, including: constructing a quality detection model; acquiring the characteristic information of the concrete after the disturbance at the current time; inputting the characteristic information into the quality detection model to obtain the vibrating quality parameters of the concrete output by the quality detection model; and detecting the vibration quality of the concrete based on the vibration quality parameters.
In a second aspect, an embodiment of the present application provides a vibration quality detection apparatus, including: the model establishing unit is used for establishing a quality detection model; the information acquisition unit is used for acquiring the characteristic information of the concrete after the disturbance at the current time; the parameter acquisition unit is used for inputting the characteristic information into the quality detection model and acquiring the vibration quality parameter of the concrete output by the quality detection model; and the quality detection unit is used for detecting the vibration quality of the concrete based on the vibration quality parameters.
In a third aspect, an embodiment of the present application provides a vibration quality detection system, where the system includes a vibration device, a vibration signal acquisition and processing system, and a quality intelligent analysis system, where the quality intelligent analysis system is used to construct a quality detection model; acquiring the characteristic information of the concrete after the disturbance at the current time; the intelligent quality analysis system is also used for inputting the characteristic information into the quality detection model and acquiring the vibration quality parameters of the concrete output by the quality detection model; and detecting the vibration quality of the concrete based on the vibration quality parameters.
In a fourth aspect, embodiments of the present application provide an electronic device, including one or more processors and a memory; one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the methods described above.
In a fifth aspect, the present application provides a computer-readable storage medium, in which a program code is stored, wherein the program code performs the above-mentioned method when running.
The embodiment of the application provides a vibration quality detection method, a vibration quality detection system, a vibration quality detection device, electronic equipment and a storage medium. Firstly, a quality detection model is built, the characteristic information of the concrete after being disturbed at the current time is obtained, then the characteristic information of the concrete is input into the pre-built quality detection model, the vibration quality parameter of the concrete output by the quality detection model is obtained, and the vibration quality of the concrete is detected based on the vibration quality parameter. According to the method, the vibration quality parameters of the concrete are obtained through the pre-constructed quality detection model, then the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of the vibration quality parameters of the concrete output by the quality detection model is high because the quality detection model is trained based on a large number of data samples in advance, so that the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of detecting the vibration quality of the concrete is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a system environment according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a vibration quality detection method according to an embodiment of the present application;
fig. 3 shows a flow chart of a vibration quality detection method according to another embodiment of the present application;
FIG. 4 is a diagram illustrating a disturbance information input/output according to another embodiment of the present application;
fig. 5 is a flowchart illustrating a vibration quality detection method according to still another embodiment of the present application;
FIG. 6 is a schematic diagram of a data array of an input layer, an intermediate layer, and an output layer according to yet another embodiment of the present application;
fig. 7 is a block diagram illustrating a vibration mass detection system according to an embodiment of the present application;
fig. 8 is a block diagram illustrating a vibration mass detection apparatus according to an embodiment of the present application;
fig. 9 shows a block diagram of a model building unit according to an embodiment of the present application;
fig. 10 is a block diagram illustrating a structure of an information obtaining unit according to an embodiment of the present application;
fig. 11 shows a block diagram of an electronic device for executing the vibration quality detection method according to the embodiment of the present application in real time.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
With the continuous improvement of national economic strength, the construction industry is also promoted and developed. Concrete is one of indispensable raw materials in any building engineering, the construction engineering of mass concrete in concrete construction engineering, particularly large-scale engineering is obviously increased, the construction progress is obviously accelerated, the management quality of the building engineering is gradually improved, and the requirements on the construction quality of the concrete are increasingly strict. Because the concrete vibration construction link is the key related to the building forming quality, the vibration quality of the concrete must be reliably detected, and then the defects are timely fed back and repaired, so that the construction quality is ensured.
In the research process of the concrete vibration quality detection method, the inventor finds that the machine vision method is introduced into the concrete vibration quality detection method, the vibration quality in the concrete is deduced according to the concrete state of the surface layer, and the accuracy of the method for detecting the concrete vibration quality is still to be improved.
Therefore, the inventor proposes a method, a system, a device, an electronic device and a storage medium for detecting the vibrating quality of the concrete based on the vibrating quality parameters, wherein the method comprises the steps of firstly constructing a quality detection model, acquiring the characteristic information of the concrete after being disturbed, then inputting the characteristic information of the concrete into the pre-constructed quality detection model, acquiring the vibrating quality parameters of the concrete output by the quality detection model, and detecting the vibrating quality of the concrete based on the vibrating quality parameters.
A system environment of a vibration quality detection system according to an embodiment of the present application will be described below.
As shown in fig. 1, in the system environment shown in fig. 1, a vibration device 410, a vibration signal collecting and processing system 420, and a quality intelligent analysis system 430 are included. Wherein the vibrating device 410 is a PC component die table distributed active vibrating device, and the vibrating device 410 may include, but is not limited to, related devices: a PC component production die table 412 and a vibration generator 414. A plurality of vibration generators 414 are mounted at specific locations on the PC component production mold 412 for imparting turbulence to the concrete completing the distribution process to produce stress waves of specific frequency, amplitude and wavefront characteristics.
The vibration signal acquisition and processing system 420 may include, but is not limited to, the associated devices: a vibration sensor 422 and a vibration signal processing device 424. A plurality of vibration sensors 422 are disposed at specific locations on the PC component production mold 412 for acquiring vibration signals of the stress wave propagating in the concrete medium after the disturbance by the vibration generator 414. The vibration signal processing device 424 is used for waveform-processing the vibration signal collected by the vibration sensor 414.
The intelligent mass analysis system 430 is an intelligent concrete vibration quality analysis system, the intelligent mass analysis system 430 includes, but is not limited to, an intelligent algorithm server 432, and the intelligent algorithm server 432 is configured to integrate stress waves generated by the vibration generator 414, attribute information of concrete, and stress wave information shaped by the vibration signal processing device 424, and analyze the vibration quality of concrete by an artificial intelligence analysis method.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 2, a vibration quality detection method provided in an embodiment of the present application includes:
step S110: and constructing a quality detection model.
As one approach, the quality detection model may be a deep learning neural network model constructed based on a large number of data samples collected in advance. Specifically, a specified amount of sample disturbance information, stress wave information, and concrete attribute information may be obtained in advance, and a quality detection model may be constructed based on the specified amount of sample disturbance information, stress wave information, and concrete attribute information.
Step S120: and acquiring the characteristic information of the concrete after the disturbance.
It can be understood that the plurality of vibration generators are respectively arranged at specific positions of the PC component mould platform and contacted with concrete, and the plurality of vibration sensors are respectively arranged at specific positions of the PC component mould platform and contacted with concrete, wherein the plurality of vibration generators are used for sequentially disturbing concrete, and the plurality of vibration sensors are used for simultaneously and sequentially acquiring characteristic information of the concrete disturbed by each vibration generator.
The characteristic information of the concrete may include attribute information of the concrete, disturbance information of the concrete, stress wave information obtained by performing shaping operation on the disturbance information, and the like.
As a mode, when the intelligent algorithm server receives a concrete vibration quality detection instruction, the characteristic information of the concrete after the disturbance is obtained at the current time is obtained. The concrete vibration quality detection instruction can be an instruction sent by a terminal device connected with the intelligent algorithm server, and the terminal device can be an intelligent device such as a Personal Computer (PC), a tablet computer and a smart phone.
Step S130: and inputting the characteristic information into the quality detection model to obtain the vibration quality parameters of the concrete output by the quality detection model.
The vibration quality parameters of the concrete can include the water content of the concrete, the compactness of the concrete, the slump of the concrete and the like.
As one mode, the moisture content of the concrete, the compactness of the concrete, the slump of the concrete and the like after the disturbance at the current time can be predicted through a pre-constructed quality detection model.
Step S140: and detecting the vibration quality of the concrete based on the vibration quality parameters.
As a mode, the detecting the vibration quality of the concrete based on the vibration quality parameter may be understood as obtaining a vibration quality evaluation result of the concrete according to the vibration quality parameter.
Furthermore, corresponding adjustment suggestions or warning information and the like can be output according to the vibration quality evaluation result of the concrete, so that the vibration suggestions can be adjusted for under-vibrating areas and the vibration warning can be carried out for over-vibrating areas. Wherein the under-vibration region and the over-vibration region can be judged by the specific position of the vibration generator. Specifically, when the compactness of concrete in a vibration generator position area arranged at a specific position of a PC component die table is detected to be smaller than the preset compactness, the concrete in the position area is determined to be in an under-vibration state, and the vibration generator mounting position area is determined to be an under-vibration area, so that a vibration suggestion and the like of increasing the vibration frequency of the position area can be output; when the compactness of concrete in a vibration generator position area arranged at a specific position of a PC component die table is detected to be larger than the preset compactness, the concrete in the position area is determined to be in an over-vibration state, and the vibration generator mounting position area is determined to be an over-vibration area, so that warning of 'no disturbance to the position area any more' can be output. The preset compactness can be a preset specific compactness numerical value or a preset numerical range of compactness.
The vibration quality detection method provided by the embodiment of the application comprises the steps of firstly constructing the quality detection model, obtaining the characteristic information of the concrete after disturbance at the current time, then inputting the characteristic information of the concrete into the quality detection model, obtaining the vibration quality parameters of the concrete output by the quality detection model, and detecting the vibration quality of the concrete based on the vibration quality parameters. According to the method, the vibration quality parameters of the concrete are obtained through the pre-constructed quality detection model, then the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of the vibration quality parameters of the concrete output by the quality detection model is high because the quality detection model is trained based on a large number of data samples in advance, so that the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of detecting the vibration quality of the concrete is improved.
Referring to fig. 3, a vibration quality detection method provided in an embodiment of the present application includes:
step S210: and constructing a quality detection model.
The step S210 can refer to the detailed explanation in the above embodiments, and therefore is not described herein.
Step S220: and acquiring the attribute information of the concrete after the vibration is finished.
The attribute information of the concrete comprises the water content of the concrete, the compactness of the concrete and the slump of the concrete.
As a mode, after the concrete vibration is finished, the intelligent algorithm server obtains the recorded attributes of the concrete after the manual record of vibration is finished, wherein the attributes of the concrete may include and are not limited to a concrete grade, a water content of the concrete, a compactness of the concrete, a slump of the concrete, and the like.
Step S230: and acquiring disturbance information generated when the concrete is disturbed at the current time.
Wherein the disturbance information comprises the position of the disturbance vibration source, the amplitude of the disturbance vibration source and the frequency of the disturbance vibration source.
In one way, the disturbance information may be stress wave information without waveform shaping. The stress wave means that stress is applied to an elastic medium to cause elastic deformation, and the elastic deformation generates elastic force due to the continuity of the medium, and the elastic force causes the elastic deformation. Thereby, a wave propagation form, also called elastic stress wave, is formed inside the medium.
The disturbance information is stress wave information generated by a vibration generator, wherein the vibration generator is a vibration generating device for generating vibration or exciting force and transmitting the vibration or exciting force to a test piece or a structure. Specifically, a plurality of vibration generators are respectively arranged at specific positions of the PC component mould table and contacted with concrete, a plurality of vibration sensors are respectively arranged at specific positions of the PC component mould table and contacted with concrete, and one vibration generator is equivalent to one vibration source. When the vibration generators receive the disturbance instruction, the vibration generators sequentially start to disturb the concrete, and the vibration sensors simultaneously acquire stress wave information which is generated under the disturbance of one vibration source and is transmitted by the concrete. The disturbance information input to the concrete by the vibration generator and the disturbance information output from the concrete collected by the vibration sensor, as shown in fig. 4, are known in their positions, but the amplitude and the frequency of the disturbance information propagated through the concrete and not propagated through the concrete are different because the disturbance information is distorted by the propagation through the concrete.
Further, when the vibration generator is detected to be turned on, it can be determined that a disturbance instruction is triggered, and when the vibration generator receives the disturbance instruction, the concrete starts to be disturbed. Alternatively, the vibration generator may be turned on continuously or intermittently to disturb the concrete.
Optionally, the vibration generator may be connected to the cloud server, and then a disturbance instruction may be sent to the vibration generator through the cloud server, where the disturbance instruction may control the vibration generators in a specified number or at specified positions to disturb the concrete simultaneously or in a certain order. Specifically, a specific identifier can be set for each vibration generator installed at a specific position of the PC component mold table in advance, after the vibration generator is connected with the cloud server, the vibration generator can upload the position and the identifier information of the vibration generator to the cloud server for storage, and then the cloud server can control the specified vibration generator to disturb the concrete by sending a disturbance instruction. Illustratively, there are 3 vibration generators installed at specific positions of the PC component mold table, namely, the vibration generator 1, the vibration generator 2, and the vibration generator 3. The identification of the vibration generator 1 can be set to be 'A' in advance, the identification of the vibration generator 2 is set to be 'B', the identification of the vibration generator 3 is set to be 'C', after the vibration transmitter is connected with a cloud server, the vibration generator 1, the vibration generator 2 and the vibration generator 3 respectively upload the position information and the identification information of the vibration generator 1, the vibration generator 2 and the vibration generator 3 to the cloud server, and then the cloud server can select to send a disturbance instruction only to a specific vibration generator when sending the disturbance instruction to the vibration generator, for example, only send the disturbance instruction to the vibration generator 1; or the cloud server can choose to send the disturbance instruction to all the vibration generators, but only the vibration generator corresponding to the identifier in the disturbance instruction can disturb the concrete.
Furthermore, after the vibration sensor acquires and collects stress wave information which is generated under the disturbance of the vibration source and is transmitted through the concrete, the intelligent algorithm server acquires the stress wave information uploaded by the vibration sensor.
Step S240: and acquiring stress wave information obtained after the disturbance information is shaped at the current time.
Wherein the stress wave information includes a position of the sensor, an amplitude of the stress wave, and a frequency of the stress wave.
As a mode, since disturbance information propagated through the concrete may generate a noise interference signal or other interference signals, which may affect the quality of the acquired disturbance information, and further may affect the accuracy of concrete vibration quality detection, a shaping operation needs to be performed on the acquired disturbance information, where the shaping operation may be a denoising processing operation performed on the acquired disturbance information, and the like. Specifically, the noise removal processing may be performed on the disturbance information through a plurality of filtering algorithms, for example, a fuzzy median filtering algorithm, a fuzzy mean filtering algorithm, and the like.
Step S250: and taking the attribute information, the disturbance information and the stress wave information as the characteristic information of the concrete.
Step S260: and inputting the characteristic information into the quality detection model to obtain the vibration quality parameters of the concrete output by the quality detection model.
Step S270: and detecting the vibration quality of the concrete based on the vibration quality parameters.
The steps S250, S260 and S270 may specifically refer to the detailed explanation in the above embodiments, and therefore are not described herein.
The vibration quality detection method provided by the embodiment of the application comprises the steps of constructing a quality detection model, obtaining attribute information of concrete after vibration is finished, obtaining disturbance information generated by disturbance of the concrete at the current time, obtaining stress wave information obtained after the disturbance information is shaped at the current time, inputting the attribute information, the disturbance information and the stress wave information into the pre-constructed quality detection model as characteristic information of the concrete, obtaining vibration quality parameters of the concrete output by the quality detection model, and finally detecting the vibration quality of the concrete according to the vibration quality parameters of the concrete. According to the method, the vibration quality parameters of the concrete are obtained through the pre-constructed quality detection model, then the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of the vibration quality parameters of the concrete output by the quality detection model is high because the quality detection model is trained based on a large number of data samples in advance, so that the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of detecting the vibration quality of the concrete is improved.
Referring to fig. 5, a vibration quality detection method provided in an embodiment of the present application includes:
step S310: and acquiring disturbance information generated by disturbing the concrete.
By one way, the perturbation information may be collected sample perturbation information used for training a deep learning neural network. Furthermore, a specified amount of sample disturbance information can be obtained, and the obtained specified amount of sample disturbance information is divided into a training sample set and a testing sample set. Wherein the specified number of sample perturbation information is the number of samples of perturbation information sufficient for training the deep learning neural network. Optionally, when a specified number of sample disturbance information are divided, the sample disturbance information may be divided according to a certain proportion. Exemplary, such as according to 3: 1 or 4: a ratio of 1.
Step S320: and acquiring stress wave information obtained after the disturbance information is shaped.
As one mode, the obtained specified number of sample perturbation information may be subjected to a shaping operation to obtain the specified number of sample stress wave information. Further, a specified amount of sample stress wave information may be divided into a training sample set and a testing sample set. Specifically, during the division, the specified number of pieces of sample stress wave information may also be divided according to a certain proportion, for example, the number of pieces of sample stress wave information may be 3: 1 or 4: a ratio of 1.
Step S330: and inputting the disturbance information and the stress wave information into a deep learning neural network, and training the deep learning neural network to obtain a quality detection model.
As a mode, the inputting the disturbance information and the stress wave information into a deep learning neural network, and training the deep learning neural network to obtain a quality detection model includes: taking the disturbance information and the stress wave information as an input array of the deep learning neural network; taking the vibration quality parameters of the concrete as an output array of the deep learning neural network; and performing K times of iterative training on the deep learning neural network based on the input array and the output array to obtain the quality detection model.
Specifically, as shown in fig. 6, parameters of the vibration generator and the vibration sensor are used as input layers of the deep learning neural network, and the input array x may be composed of, without limitation, positions (S1, S2.), amplitudes (a1, a 2.), frequencies (F1, F2.), and the like[m](ii) a The method is characterized in that the vibration quality parameters of the concrete are used as the output layer of the deep learning neural network, and the parameters including and not limited to the water content (c) of the concrete, the compactness (eta) of the concrete, the slump (phi) of the concrete and the like form an output array y[m]. Wherein, the intermediate layer is a deep learning algorithm based on a multilayer neural network, and intermediate parameters of each layer can form a transition array a1 [m]，a2 [m]……an [m]. Furthermore, the calculation functions of the input layer, the intermediate layer and the output layer can be obtained through the parameters: y is[m]＝f(x[m]·a1 [m]·a2 [m]·…·an [m]) For deep learning neural network by continuous variation of parameter values of input layer and output layerPerforming iterative training for K times to obtain a quality detection model, wherein the value of K can be any set value, such as K>500, etc.
The deep learning neural network can be a convolutional neural network, a training sample set is input into the convolutional neural network and trained, a convolutional neural network model for detecting the vibration quality is constructed, a test sample set is used for evaluating the model, whether the detection accuracy of the concrete vibration quality meets the requirement or not is judged, and if yes, the model is determined to be effective; if not, measures are taken until the requirement of accuracy degree is met. Illustratively, if the detection accuracy of the vibrating mass of the concrete is more than 80%, the model construction is considered to be effective, and if the detection accuracy of the vibrating mass of the concrete is less than 80%, measures are taken to improve the precision of the model, for example, the precision of the model can be improved by expanding a sample set and adjusting model parameters and the like until the constructed model meets the accuracy requirement.
Step S340: and acquiring the characteristic information of the concrete after the disturbance.
Step S350: and inputting the characteristic information into the quality detection model to obtain the vibration quality parameters of the concrete output by the quality detection model.
Step S360: and detecting the vibration quality of the concrete based on the vibration quality parameters.
The steps S340, S350 and S360 can be explained in detail with reference to the above embodiments, and therefore are not described herein.
The vibration quality detection method provided by the embodiment of the application comprises the steps of obtaining disturbance information generated by disturbing concrete, obtaining stress wave information obtained after reshaping operation is carried out on the disturbance information, inputting the disturbance information and the stress wave information into a deep learning neural network, training the deep learning neural network to obtain a quality detection model, then obtaining characteristic information of the concrete after being disturbed, inputting the characteristic information into the quality detection model, obtaining vibration quality parameters of the concrete output by the quality detection model, and finally detecting the vibration quality of the concrete based on the vibration quality parameters. According to the method, the vibration quality parameters of the concrete are obtained through the pre-constructed quality detection model, then the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of the vibration quality parameters of the concrete output by the quality detection model is high because the quality detection model is trained based on a large number of data samples in advance, so that the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of detecting the vibration quality of the concrete is improved.
Referring to fig. 7, in the vibration quality detection system 400 provided in the present embodiment, the system 400 includes a vibration device 410, a vibration signal collecting and processing system 420, and a quality intelligent analysis system 430,
the intelligent quality analysis system 430 is used for constructing a quality detection model; and acquiring the characteristic information of the concrete after the disturbance.
The intelligent quality analysis system 430 is further configured to input the characteristic information into a pre-constructed quality detection model, and obtain a vibration quality parameter of the concrete output by the quality detection model; and detecting the vibration quality of the concrete based on the vibration quality parameters.
Referring to fig. 8, a vibration mass detection apparatus 500 according to an embodiment of the present application includes:
a model building unit 510, configured to build a quality detection model.
Specifically, the model building unit 510 is configured to obtain disturbance information generated by disturbing the concrete; acquiring stress wave information obtained after the disturbance information is shaped; and inputting the disturbance information and the stress wave information into a deep learning neural network, and training the deep learning neural network to obtain the quality detection model.
An information obtaining unit 520, configured to obtain characteristic information of the concrete after the current disturbance.
A parameter obtaining unit 530, configured to input the characteristic information into the quality detection model, and obtain a vibration quality parameter of the concrete output by the quality detection model.
A quality detecting unit 540, configured to detect the vibrating quality of the concrete based on the vibrating quality parameter.
Referring to fig. 9, the model building unit 510 includes:
an input array obtaining module 512, configured to use the perturbation information and the stress wave information as an input array of the deep learning neural network.
An output array obtaining module 514, configured to use the vibration quality parameter of the concrete as an output array of the deep learning neural network.
And a model training module 516, configured to perform K times of iterative training on the deep learning neural network based on the input array and the output array, to obtain the quality detection model.
Referring to fig. 10, in an information obtaining unit 520 provided in the embodiment of the present application, the information obtaining unit 520 includes:
an attribute information obtaining module 522, configured to obtain attribute information of the concrete after the vibration is terminated.
And a disturbance information obtaining module 524, configured to obtain disturbance information generated by currently disturbing the concrete.
And a stress wave information obtaining module 526, configured to obtain stress wave information obtained after the shaping operation is performed on the disturbance information at this time.
A characteristic information obtaining module 528, configured to use the attribute information, the disturbance information, and the stress wave information as characteristic information of the concrete.
It should be noted that the device embodiment and the method embodiment in the present application correspond to each other, and specific principles in the device embodiment may refer to the contents in the method embodiment, which is not described herein again.
An electronic device provided by the present application will be described below with reference to fig. 11.
The embodiment of the invention provides electronic equipment for detecting vibrating quality, which comprises a processor and a memory, wherein at least one instruction, at least one section of program, a code set or an instruction set is stored in the memory, and the at least one instruction, the at least one section of program, the code set or the instruction set is loaded and executed by the processor to realize the vibrating quality detection method provided by the method embodiment.
The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to use of the apparatus, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.
Fig. 11 is a block diagram of a hardware structure of an electronic device for detecting vibration quality according to an embodiment of the present invention. As shown in fig. 11, the electronic device 1100 is a server, and the electronic device 1100 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 1110 (the processors 1110 may include but are not limited to processing devices such as a microprocessor MCU or a programmable logic device FPGA), a memory 1130 for storing data, and one or more storage media 1120 (e.g., one or more mass storage devices) for storing applications 1123 or data 1122. The memory 1130 and the storage medium 1120 may be, among other things, transient storage or persistent storage. The program stored in the storage medium 1120 may include one or more modules, each of which may include a series of instructions operating on an electronic device. Still further, the processor 1110 may be configured to communicate with the storage medium 1120, and execute a series of instruction operations in the storage medium 1120 on the electronic device 1100. The electronic apparatus 1100 may also include one or more power supplies 1160, one or more wired or wireless network interfaces 1150, one or more input-output interfaces 1140, and/or one or more operating systems 1121, such as windows server, MacOSXTM, unix, linux, FreeBSDTM, and so forth.
The input output interface 1140 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the electronic device 1100. In one example, i/o interface 1140 includes a network adapter (NIC) that may be coupled to other network devices via a base station to communicate with the internet. In one example, the input/output interface 1140 can be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
It will be understood by those skilled in the art that the structure shown in fig. 11 is merely illustrative and is not intended to limit the structure of the above-described vibration mass detection electronic apparatus. For example, electronic device 1100 may also include more or fewer components than shown in FIG. 11, or have a different configuration than shown in FIG. 11.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the vibration quality detection method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
According to the vibration quality detection method, the vibration quality detection system, the vibration quality detection device and the electronic equipment, the quality detection model is firstly built, the characteristic information of the concrete after being disturbed is obtained, then the characteristic information of the concrete is input into the pre-built quality detection model, the vibration quality parameters of the concrete output by the quality detection model are obtained, and the vibration quality of the concrete is detected based on the vibration quality parameters. According to the method, the vibration quality parameters of the concrete are obtained through the pre-constructed quality detection model, then the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of the vibration quality parameters of the concrete output by the quality detection model is high because the quality detection model is trained based on a large number of data samples in advance, so that the vibration quality of the concrete is detected based on the vibration quality parameters, and the accuracy of detecting the vibration quality of the concrete is improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A vibration quality detection method is applied to a vibration quality detection system, and comprises the following steps:
constructing a quality detection model;
acquiring the characteristic information of the concrete after the disturbance at the current time;
inputting the characteristic information into the quality detection model to obtain the vibrating quality parameters of the concrete output by the quality detection model;
and detecting the vibration quality of the concrete based on the vibration quality parameters.
2. The method of claim 1, wherein the obtaining characteristic information of the concrete after the current disturbance comprises:
acquiring attribute information of the concrete after the vibration is finished;
acquiring disturbance information generated when the concrete is disturbed at the current time; and the number of the first and second groups,
acquiring stress wave information obtained after the disturbance information is shaped at the current time;
and taking the attribute information, the disturbance information and the stress wave information as the characteristic information of the concrete.
3. The method of claim 1, wherein constructing the quality check model comprises:
acquiring disturbance information generated by disturbing the concrete;
acquiring stress wave information obtained after the disturbance information is shaped;
and inputting the disturbance information and the stress wave information into a deep learning neural network, and training the deep learning neural network to obtain the quality detection model.
4. The method of claim 3, wherein the inputting the perturbation information and the stress wave information into a deep learning neural network, and training the deep learning neural network to obtain the quality detection model comprises:
taking the disturbance information and the stress wave information as an input array of the deep learning neural network;
taking the vibration quality parameters of the concrete as an output array of the deep learning neural network;
and performing K times of iterative training on the deep learning neural network based on the input array and the output array to obtain the quality detection model.
5. The method according to any one of claims 1-4, wherein the disturbance information comprises a location of the source of the disturbance vibration, an amplitude of the source of the disturbance vibration, and a frequency of the source of the disturbance vibration;
the attribute information of the concrete comprises the water content of the concrete, the compactness of the concrete and the slump of the concrete.
6. The method of any of claims 2-4, wherein the stress wave information includes a location of a sensor, an amplitude of a stress wave, and a frequency of the stress wave.
7. A vibration quality detection system is characterized in that the system comprises a vibration device, a vibration signal acquisition and processing system and an intelligent quality analysis system,
the quality intelligent analysis system is used for constructing a quality detection model; acquiring the characteristic information of the concrete after the disturbance at the current time;
the intelligent quality analysis system is also used for inputting the characteristic information into the quality detection model and acquiring the vibration quality parameters of the concrete output by the quality detection model; and detecting the vibration quality of the concrete based on the vibration quality parameters.
8. A vibration quality detecting apparatus, characterized in that the apparatus comprises:
the model establishing unit is used for establishing a quality detection model;
the information acquisition unit is used for acquiring the characteristic information of the concrete after the disturbance at the current time;
the parameter acquisition unit is used for inputting the characteristic information into the quality detection model and acquiring the vibration quality parameter of the concrete output by the quality detection model;
and the quality detection unit is used for detecting the vibration quality of the concrete based on the vibration quality parameters.
9. An electronic device comprising one or more processors and memory; one or more programs stored in the memory and configured to be executed by the one or more processors to perform the method of any of claims 1-6.
10. A computer-readable storage medium, having a program code stored therein, wherein the program code when executed by a processor performs the method of any of claims 1-6.
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