CN113686741A - Concrete homogeneity detection method and device, terminal equipment and storage medium - Google Patents
Concrete homogeneity detection method and device, terminal equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting concrete homogeneity, terminal equipment and a storage medium, wherein the method comprises the following steps: collecting feeding data of each original material in a concrete station, wherein the feeding data comprise weight data and image data, and the original material comprises aggregate and sand; identifying the particle sizes of the aggregate and the sandstone according to the image data, and determining the standard weight ratio of each original material according to the particle sizes; and calculating the real-time weight ratio of each raw material according to the weight data, and measuring and calculating the concrete homogeneity according to the standard weight ratio and the real-time weight ratio. According to the invention, by collecting the feeding data of the original material in the concrete station, the particle size and the weight of the original material can be automatically identified, manual sampling inspection is not needed, the detection period can be shortened, the detection efficiency is improved, the defects of manual sampling detection can be overcome, and the detection accuracy of the homogeneity of the concrete is improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a device for detecting concrete homogeneity, terminal equipment and a storage medium.
Background
In the current concrete industry, homogeneity is one of important performance indexes for measuring the quality of modern concrete (namely concrete), the existing concrete homogeneity is tested in a concrete mixer or at a discharge port of the mixer, the test can be only carried out in the production process or after the production of concrete materials, certain hysteresis exists, and the input raw materials can not be ensured to meet the homogeneity requirement from the source. The traditional way of controlling the homogeneity of concrete from the time of raw material feeding is to perform manual inspection of random sampling or instrumental measurement on the weight, particle size and the like of raw materials at the time of raw material feeding. This kind of operation mode mainly relies on taking a sample in advance, and the sampling process is loaded down with trivial details and detection cycle is long, and the deviation easily appears in the sample result to lead to the measuring result inaccurate, thereby the condition of reworking probably appears, need replenish the homogeneity that the raw materials improved the concrete once more.
Disclosure of Invention
The invention mainly aims to provide a concrete homogeneity detection method, a concrete homogeneity detection device, terminal equipment and a storage medium, and aims to solve the technical problems that the detection efficiency is low due to complicated sampling process and long detection period, and the detection result is inaccurate due to easy deviation of the sampling result, which are caused by the fact that the conventional method for controlling the homogeneity of concrete during the feeding of raw materials mainly depends on manual sampling and detection.
In addition, in order to achieve the above object, the present invention further provides a method for detecting homogeneity of concrete, comprising the steps of:
collecting feeding data of each original material in a concrete station, wherein the feeding data comprise weight data and image data, and the original material comprises aggregate and sand;
identifying the particle sizes of the aggregate and the sandstone according to the image data, and determining the standard weight ratio of each original material according to the particle sizes;
and calculating the real-time weight ratio of each raw material according to the weight data, and measuring and calculating the concrete homogeneity according to the standard weight ratio and the real-time weight ratio.
Optionally, the step of identifying the particle sizes of the aggregate and the sand according to the image data includes:
inputting the image data into a preset classification detection model, wherein the classification detection model is obtained by performing iterative training on a preset basic classification detection model by using the image data of each original material, and the classification detection model comprises a first identification model for identifying the image data of the aggregate and a second identification model for identifying the image data of the sandstone;
classifying the image data, and identifying the image data of the aggregate and the image data of the sand from the image data;
and identifying the image data of the aggregate by using the first identification model, and identifying the image data of the sandstone by using the second identification model to obtain the particle sizes of the aggregate and the sandstone.
Optionally, the classification detection model includes a target classification model for classifying image data of each of the raw materials, and the step of classifying the image data includes:
preprocessing and extracting features of the image data to obtain feature information of each original material;
and inputting the characteristic information into a target classification model in the classification detection model, and classifying the image data of each original material.
Optionally, after the step of performing homogeneity measurement according to the standard weight ratio and the real-time weight ratio and determining concrete homogeneity according to measurement results, the method further includes:
comparing the concrete homogeneity with a preset homogeneity standard to determine whether the concrete homogeneity is qualified;
if the concrete homogeneity is not qualified, controlling the feeding speed of each original material according to the concrete homogeneity so as to control the weight data of each original material;
and returning and executing the step of collecting the feeding data of each original material in the concrete station until the homogeneity of the concrete is qualified.
Optionally, after the step of performing homogeneity measurement according to the standard weight ratio and the real-time weight ratio and determining concrete homogeneity according to measurement results, the method further includes:
storing the homogeneity of the concrete, and generating homogeneity early warning trend according to the stored homogeneity of the concrete;
and displaying the homogeneity early warning trend, and outputting early warning information according to the homogeneity early warning trend.
Optionally, after the step of identifying the particle sizes of the aggregate and the sand according to the image data, the method further includes:
comparing the particle sizes of the aggregate and the sandstone with a preset standard particle size, and determining whether the particle sizes of the aggregate and the sandstone are qualified or not;
and if the particle size of the aggregate and/or the sandstone is unqualified, outputting early warning prompt information.
Optionally, the method for detecting homogeneity of concrete further includes:
and collecting data of the concrete material with qualified homogeneity, and establishing a homogeneity standard library based on the data of the concrete material, wherein the homogeneity standard library comprises homogeneity standards, standard particle size and standard weight ratio.
In addition, in order to achieve the above object, the present invention also provides a concrete homogeneity detecting device, comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring feeding data of each original material in a concrete station, the feeding data comprises weight data and image data, and the original material comprises aggregate and gravel;
the characteristic calculation module is used for identifying the particle sizes of the aggregate and the sandstone according to the image data and determining the standard weight ratio of each original material according to the particle sizes;
and the homogeneity measuring and calculating module is used for calculating the real-time weight ratio of each raw material according to the weight data and measuring and calculating the homogeneity of the concrete according to the standard weight ratio and the real-time weight ratio.
In addition, to achieve the above object, the present invention also provides a terminal device, including: the concrete homogeneity detecting method comprises a memory, a processor and a concrete homogeneity detecting program which is stored on the memory and can run on the processor, wherein the concrete homogeneity detecting program realizes the steps of the concrete homogeneity detecting method when being executed by the processor.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a concrete homogeneity detection program, which when executed by a processor, implements the steps of the concrete homogeneity detection method as described above.
In addition, to achieve the above object, the present invention also provides a computer program product comprising a computer program, which when executed by a processor, realizes the steps of the method for detecting homogeneity of concrete as described above.
The embodiment of the invention provides a method and a device for detecting concrete homogeneity, terminal equipment and a storage medium. In the prior art, the mode of controlling the homogeneity of the concrete when the concrete material is fed is mainly detected by manpower, the sampling process is complicated, the detection period is long, and the sampling result is easy to deviate, so that the detection result of the homogeneity of the concrete is inaccurate. Compared with the prior art, in the embodiment of the invention, the feeding data of each original material in the concrete station is collected, wherein the feeding data comprises weight data and image data, and the original material comprises aggregate and sand; identifying the particle sizes of the aggregate and the sandstone according to the image data, and determining the standard weight ratio of each original material according to the particle sizes; and calculating the real-time weight ratio of each raw material according to the weight data, performing homogeneity measurement and calculation according to the standard weight ratio and the real-time weight ratio, and determining the homogeneity of the concrete according to measurement and calculation results. Through the pan feeding data of gathering original material in the concrete station, can automatic identification original material's particle size and weight, need not artifical sample inspection, can shorten detection cycle, improve detection efficiency. And the standard weight ratio is determined according to the identified particle size, the real-time weight ratio of the raw material is calculated based on the collected weight data of the raw material, homogeneity measurement and calculation are carried out according to the current weight ratio and the standard ratio, further, the homogeneity of the finally obtained concrete material is determined, the deviation of calculating the homogeneity of the concrete through manual sampling can be reduced, and the detection accuracy of the homogeneity of the concrete is improved.
Drawings
Fig. 1 is a schematic hardware structure diagram of an implementation manner of a terminal device according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a concrete homogeneity detection method according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of functional modules of an embodiment of the apparatus for detecting homogeneity of concrete according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The concrete homogeneity detection terminal (also called terminal, equipment or terminal equipment) in the embodiment of the invention can be a PC (personal computer), and can also be mobile terminal equipment with display and data processing functions, such as a smart phone, a tablet personal computer, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer-readable storage medium, may include therein an operating system, a network communication module, a user interface module, and a concrete homogeneity detection program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call a concrete homogeneity detection program stored in the memory 1005, and the concrete homogeneity detection program, when executed by the processor, implements the operations in the concrete homogeneity detection method provided by the following embodiments.
Based on the hardware structure of the equipment, the embodiment of the concrete homogeneity detection method is provided.
Referring to FIG. 2, in a first embodiment of the concrete homogeneity detection method of the present invention, the concrete homogeneity detection method includes:
step S10, collecting feeding data of each original material in a concrete station, wherein the feeding data comprises weight data and image data, and the original material comprises aggregate and gravel;
in this embodiment, in order to ensure the homogeneity of the obtained concrete material (i.e. concrete), before the raw materials are fed, the feeding data of each raw material in the concrete station is collected, so as to determine whether the homogeneity of the obtained concrete material meets the requirement according to the ratio between the raw materials. It is known that the homogeneity of the concrete material is not only related to the stirring degree of the fed material, but also related to the used raw materials, and is further related to the proportion of the used raw materials, and when the used raw materials are improper and/or the proportion among various raw materials is improper, the finally obtained concrete material is easy to have the phenomena of segregation, bleeding, layering and the like, and the homogeneity of the concrete material is seriously influenced, so that the quality and the performance of the concrete material are influenced.
Therefore, the embodiment provides a method for detecting homogeneity of concrete, which detects homogeneity of a finally obtained concrete material according to feeding data of each original material before feeding the original material. Specifically, pan feeding data of all original materials are collected at a concrete station, the original materials comprise aggregate, gravel, cement and the like, and the collected pan feeding data comprise weight data and image data. Generally, a concrete station is provided with a feeding device and a feeding device for each raw material, after the raw material is output from a discharge port of the feeding device, the raw material is uniformly conveyed to a mixer by the feeding device to be mixed, and the concrete finally obtained by mixing is output from a discharge port of the mixer. When pan feeding data of gathering the concrete station, set up weighing equipment such as electronic scale in the discharge gate department of each raw materials feeder equipment, can acquire the material weight that each batch of each raw materials was carried, to the raw materials that needs to measure the particle size, set up supervisory equipment such as camera in the discharge gate department of feeder equipment, monitor the feed of raw materials, acquire the image data of raw materials. It is understood that the weighing device and/or the monitoring device may also be disposed at other positions such as each conveyor belt of the conveyor, one or more weighing devices and one or more monitoring devices may be disposed on each raw material supply and/or conveyor belt, and for raw materials such as cement and the like which do not need to be measured in particle size, the monitoring device may not be separately disposed to monitor, and specific raw materials need to acquire weight data and/or image data, and the setting may be performed according to actual needs, which is not specifically limited herein.
Step S20, identifying the particle sizes of the aggregate and the sandstone according to the image data, and determining the standard weight ratio of each original material according to the particle sizes;
furthermore, after the feeding data of the concrete station are collected, the particle sizes of the aggregate and the sandstone are identified according to the image data, and the standard weight ratio among the raw materials meeting the homogeneity requirement of the concrete material is determined according to the identified particle sizes of the aggregate and/or the sandstone. It should be noted that there may be one or more kinds of aggregate and sand, and the same aggregate or sand may be fed at different particle sizes. Specifically, the particle sizes of the materials coming from different batches may be different, the particle sizes of the materials coming from the same batch may also be different, when the feeding equipment for the original materials such as aggregate or gravel feeds the materials, the materials such as aggregate or gravel can be sorted and filtered, and the materials with different volumes can be output from different discharge ports and conveyed into the mixer through different conveyor belts. In order to ensure the accuracy of material proportioning, materials with particle sizes, such as aggregates, gravels and the like, need to be controlled, are sorted and filtered according to the volume and are output from different discharge ports of a feeding device, so that the particle sizes of the aggregates or the gravels on the same conveyor belt are basically uniform, the aggregates or the gravels with different particle sizes are arranged on different conveyor belts, and the particle sizes of the aggregates or the gravels on each conveyor belt can be identified by utilizing the acquired image data.
Furthermore, after the particle size of the aggregate or sand is identified, the standard weight ratio between the raw materials is determined according to the identified particle size, generally, in order to ensure the homogeneity of the concrete material, a certain amount of aggregate and sand, and a certain amount or weight of other materials such as cement should be contained in the concrete material per unit volume, when the particle sizes of the aggregate and sand are different, the amount of aggregate and sand contained in the concrete material per unit volume is different, therefore, according to the particle sizes of the aggregate and sand, the standard amount of aggregate and sand to be contained in the concrete material per unit volume can be determined, and the weight of the aggregate and sand, and the standard weight ratio between the aggregate, sand and other materials can be determined according to the standard amount.
The method comprises the following steps of identifying the particle sizes of aggregates and gravels according to collected image data, and specifically comprises the following steps:
step S201, inputting the image data into a preset classification detection model, wherein the classification detection model is obtained by performing iterative training on a preset basic classification detection model by using the image data of each original material, and the classification detection model comprises a first identification model for identifying the image data of the aggregate and a second identification model for identifying the image data of the sandstone;
step S202, classifying the image data, and identifying the image data of the aggregate and the image data of the sand from the image data;
and S203, recognizing the image data of the aggregate by using the first recognition model, and recognizing the image data of the sandstone by using the second recognition model to obtain the particle sizes of the aggregate and the sandstone.
When the particle sizes of aggregate and sand are identified, firstly, the collected image data are classified, and the image data of aggregate and sand are identified from the collected image data. Specifically, the collected image data is input into a preset classification detection model, the classification detection model is obtained by performing iterative training on a preset basic classification detection model by using the image data of aggregate and sand, and the collected image data is classified by using the classification detection model so as to respectively identify the image data of aggregate and the image data of sand from the collected image data.
Furthermore, the preset classification detection model comprises a target classification model for classifying the acquired image data, a first identification model for identifying the image data of the aggregate to determine the particle size of the aggregate, and a second identification model for identifying the image data of the sand to determine the particle size of the sand. After the collected image data are classified, the first identification model in the classification detection model is used for identifying the image data of the aggregate to determine the particle size of the aggregate, and the second identification model is used for identifying the image data of the sand to determine the particle size of the sand, wherein the first identification model and the second identification model are used for identifying the image data at the same time or in sequence, and the method is not particularly limited. It can be understood that the first recognition model and the second recognition model can be the same basic recognition model, and the image data of aggregate and the image data of sand are used for respectively carrying out iterative training on the same basic recognition model to obtain corresponding recognition models; the first recognition model and the second recognition model can also be different basic recognition models, different basic recognition models are selected according to different characteristics of aggregate and gravel, iterative training is carried out on the selected basic recognition models respectively by utilizing image data of the aggregate and image data of the gravel, and corresponding recognition models are obtained.
Further, the classification detection model comprises a target classification model, and the step of classifying the acquired image data of the original material comprises the following steps:
step S2001, preprocessing and feature extraction are carried out on the image data to obtain feature information of each original material;
step S2002, inputting the feature information into a target classification model in the classification detection model, and classifying the image data of each original material.
When the collected image data is classified, firstly, a series of preprocessing such as digital-to-analog conversion, binarization, smoothing, enhancement, restoration, filtering and the like is carried out on the collected image data, the characteristics of the preprocessed image data are extracted to obtain the characteristic information of each original material, and the characteristic information is input into a target classification model, so that the collected image data can be classified. The collected images are preprocessed because the collected images are generally disordered and stacked when being output from a discharge port of a feeding device, collected original image data need to be preprocessed, and outlines of materials such as aggregates or gravels are divided, so that the aggregate and the gravels can be identified conveniently.
And step S30, calculating the real-time weight ratio of the raw materials according to the weight data, and measuring and calculating the concrete homogeneity according to the standard weight ratio and the real-time weight ratio.
Further, after the standard weight ratio corresponding to the current feeding data is obtained, the real-time weight ratio of the feeding according to the current feeding data is calculated according to the collected weight data of each original material, and the homogeneity of the finally obtained concrete material is calculated based on the standard weight ratio and the real-time weight ratio.
In the embodiment, feeding data of each original material in a concrete station are collected, wherein the feeding data comprise weight data and image data, and the original material comprises aggregate and sand; identifying the particle sizes of the aggregate and the sandstone according to the image data, and determining the standard weight ratio of each original material according to the particle sizes; and calculating the real-time weight ratio of each raw material according to the weight data, performing homogeneity measurement and calculation according to the standard weight ratio and the real-time weight ratio, and determining the homogeneity of the concrete according to measurement and calculation results. Through the pan feeding data of gathering original material in the concrete station, can automatic identification original material's particle size and weight, need not artifical sample inspection, can solve artifical sample detection's drawback, shorten detection cycle, improve detection efficiency. And the standard weight ratio is determined according to the identified particle size, the real-time weight ratio of the raw material is calculated based on the collected weight data of the raw material, homogeneity measurement and calculation are carried out according to the current weight ratio and the standard ratio, further, the homogeneity of the finally obtained concrete material is determined, the deviation of calculating the homogeneity of the concrete through manual sampling can be reduced, and the detection accuracy of the homogeneity of the concrete is improved.
Further, on the basis of the above embodiments of the present invention, a second embodiment of the concrete homogeneity detection method of the present invention is provided.
This embodiment is a step after step S30 in the first embodiment, and in this embodiment, after the concrete homogeneity is measured, the method further includes:
step S401, comparing the homogeneity of the concrete with a preset homogeneity standard to determine whether the homogeneity of the concrete is qualified or not;
s402, if the concrete homogeneity is not qualified, controlling the feeding speed of each original material according to the concrete homogeneity so as to control the weight data of each original material;
and S403, returning and executing the step of collecting the feeding data of each original material in the concrete station until the homogeneity of the concrete is qualified.
In this embodiment, after the concrete homogeneity is measured, the measured concrete homogeneity is compared with a preset homogeneity standard to determine whether the measured concrete homogeneity is qualified, and if the measured concrete homogeneity is not qualified, the feeding speed of each raw material needs to be controlled according to the measured concrete homogeneity, so as to control the weight data of each raw material. The control of the raw material feeding speed is realized by controlling the speed of a conveyor belt of the raw materials, and the feeding speed of each material is controlled according to the difference between the measured homogeneity and the standard homogeneity data, so that the weight of each raw material entering the stirrer is controlled, and the weight of each raw material entering the stirrer meets the requirement of standard homogeneity. The control of the conveying speed is actually to adjust the conveying speed of the conveying belt, and may be to adjust only the speed of a part of the conveying belts, or to adjust the speed of all the conveying belts, specifically, the uniformity needs to be determined according to the feed data of the raw materials on each conveying belt. And after the speed of the conveyor belt is adjusted, the feeding data is collected again and the homogeneity is recorded and calculated until the calculated homogeneity is qualified.
Further, after the concrete homogeneity is measured, the method can further comprise the following steps:
s501, storing the homogeneity of the concrete, and generating a homogeneity early warning trend according to the stored homogeneity of the concrete;
and S502, displaying the homogeneity early warning trend, and outputting early warning information according to the homogeneity early warning trend.
And storing the measured and calculated homogeneity of the concrete, generating homogeneity early warning trend according to the stored homogeneity of the concrete, outputting and displaying the generated homogeneity early warning trend, and outputting early warning information according to the generated homogeneity early warning trend. Specifically, the concrete homogeneity calculated in a preset time period is fitted to generate an early warning trend curve of the concrete homogeneity, the change trend of the concrete homogeneity is analyzed and predicted based on the early warning trend curve, and when the concrete homogeneity change is detected to be abnormal, early warning information can be transmitted to remind related personnel to intervene and process the abnormality in time so as to ensure the concrete homogeneity.
Further, in step S20, after identifying the particle sizes of the aggregate and the sand, the method further includes:
step S601, comparing the particle sizes of the aggregate and the sandstone with a preset standard particle size, and determining whether the particle sizes of the aggregate and the sandstone are qualified or not;
and step S60, outputting early warning prompt information if the aggregate and/or the sandstone have unqualified particle sizes.
Based on the above embodiment, in this embodiment, after the particle sizes of the aggregate and the gravel are identified, the particle sizes of the aggregate and the gravel are compared with the respective preset standard particle sizes, whether the particle sizes of the aggregate and the gravel are qualified or not is determined, and if the particle sizes of the aggregate and the gravel are not qualified, the early warning prompt information is output. Generally, although the particle sizes of aggregate and gravel can be large or small, the particle sizes are generally controlled within a certain range, and the excessive or insufficient particle sizes can influence other properties such as homogeneity or quality of the obtained concrete material, and the weights of the same materials with different particle sizes in unit volume also need to be limited, when the particle sizes of the aggregate or gravel are identified to exceed a normal range and/or the aggregate is poor, early warning prompt information is output to prompt a worker that the materials are abnormal, so that the worker can timely treat the abnormal materials to ensure the quality of the concrete material.
Furthermore, in this embodiment, the method for detecting homogeneity of concrete further includes step S701, collecting data of a concrete material with qualified homogeneity, and establishing a homogeneity standard library based on the data of the concrete material, where the homogeneity standard library includes a homogeneity standard, a standard particle size, and a standard weight ratio.
Before the homogeneity of the concrete material is detected, the data of the concrete material with qualified homogeneity can be collected based on experience, the data of the concrete material comprises the feeding data of an original material, a homogeneity standard library is established based on the collected data of the concrete material, and the homogeneity standard library comprises homogeneity standards, standard grain sizes and standard weight ratios for subsequent homogeneity measurement and calculation. Further, after the homogeneity standard library is established, the homogeneity standard library can be updated according to the collected feeding data and the measured homogeneity after the homogeneity is measured and calculated, so that the standard data of the homogeneity standard library can be enriched.
It can be understood that, in this embodiment, the particle sizes of the aggregate and the gravel are mainly identified, in the identification process, the grade of the aggregate and the gravel can be detected, and the extreme conditions that the grade of the aggregate and the gravel is too poor or the particle size exceeds the normal range can be pre-warned, so that the controllability of the material feeding is ensured. In practical application, the same monitoring or identification can be performed on other materials, and details are not repeated here. Furthermore, the collected feeding data, the established homogeneity standard library, the generated homogeneity trend curve, the early warning information, the early warning prompt information and the like can be displayed to the staff in real time, different data can be respectively subjected to statistical analysis, optionally, the collected feeding data is subjected to statistical analysis so as to analyze the quality or the quality and the like of different materials of the feeding, and the statistical result is displayed to provide a basis for intervention measures of the staff so as to ensure the timeliness and the effectiveness of manual intervention of the staff.
In this embodiment, the feeding speed is controlled according to the measured homogeneity, so as to control the feeding weight of the material, and the material of the obtained concrete material can be ensured to be in standard weight proportion before feeding, so that the homogeneity of the concrete is ensured from the source. Meanwhile, the early warning is carried out on the material particle size and the homogeneity of the concrete material based on the identification result of the material particle size and the homogeneity measured and calculated, the measured and calculated homogeneity is fitted to generate the variation trend of the homogeneity of the concrete, and based on the analysis of the variation trend of the homogeneity of the concrete, whether the homogeneity of the concrete is abnormal or not can be found in time, the abnormal phenomenon is prevented, the homogeneity of the concrete material is ensured, and the problem of the hysteresis quality of the homogeneity treatment can be solved in time. Furthermore, intervention measures are taken in real time, the defect of manual sampling detection is overcome, and the overall performance of concrete quality can be improved.
In addition, referring to fig. 3, an embodiment of the present invention further provides a concrete homogeneity detecting device, where the concrete homogeneity detecting device includes:
the system comprises a data acquisition module 10, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring feeding data of each original material in a concrete station, the feeding data comprises weight data and image data, and the original material comprises aggregate and sand;
the characteristic calculation module 20 is used for identifying the particle sizes of the aggregate and the sandstone according to the image data and determining the standard weight ratio of each original material according to the particle sizes;
and the homogeneity measuring and calculating module 30 is used for calculating the real-time weight ratio of each raw material according to the weight data and measuring and calculating the homogeneity of the concrete according to the standard weight ratio and the real-time weight ratio.
Optionally, the feature calculating module 20 is further configured to:
inputting the image data into a preset classification detection model, wherein the classification detection model is obtained by performing iterative training on a preset basic classification detection model by using the image data of each original material, and the classification detection model comprises a first identification model for identifying the image data of the aggregate and a second identification model for identifying the image data of the sandstone;
classifying the image data, and identifying the image data of the aggregate and the image data of the sand from the image data;
and identifying the image data of the aggregate by using the first identification model, and identifying the image data of the sandstone by using the second identification model to obtain the particle sizes of the aggregate and the sandstone.
Optionally, the feature calculating module 20 is further configured to:
preprocessing and extracting features of the image data to obtain feature information of each original material;
and inputting the characteristic information into a target classification model in the classification detection model, and classifying the image data of each original material.
Optionally, the concrete homogeneity detection device further includes a feeding control module, configured to:
comparing the concrete homogeneity with a preset homogeneity standard to determine whether the concrete homogeneity is qualified;
if the concrete homogeneity is not qualified, controlling the feeding speed of each original material according to the concrete homogeneity so as to control the weight data of each original material;
and returning and executing the step of collecting the feeding data of each original material in the concrete station until the homogeneity of the concrete is qualified.
Optionally, the concrete homogeneity detection device further includes a homogeneity early warning module, configured to:
storing the homogeneity of the concrete, and generating homogeneity early warning trend according to the stored homogeneity of the concrete;
and displaying the homogeneity early warning trend, and outputting early warning information according to the homogeneity early warning trend.
Optionally, the concrete homogeneity detection device further includes a feeding early warning module, configured to:
comparing the particle sizes of the aggregate and the sandstone with a preset standard particle size, and determining whether the particle sizes of the aggregate and the sandstone are qualified or not;
and if the particle size of the aggregate and/or the sandstone is unqualified, outputting early warning prompt information.
Optionally, the concrete homogeneity detection device further includes a standard library module, configured to:
and collecting data of the concrete material with qualified homogeneity, and establishing a homogeneity standard library based on the data of the concrete material, wherein the homogeneity standard library comprises homogeneity standards, standard particle size and standard weight ratio.
In addition, the embodiment of the present invention further provides a computer-readable storage medium, on which a concrete homogeneity detection program is stored, and the concrete homogeneity detection program, when executed by a processor, implements the operations in the concrete homogeneity detection method provided by the above-mentioned embodiment.
In addition, the embodiment of the present invention further provides a computer program product, which includes a computer program, and when the computer is executed by a processor, the computer program implements the operations in the concrete homogeneity detection method provided by the above embodiment.
For the embodiments of the apparatus, the computer program product and the computer-readable storage medium of the present invention, reference may be made to the embodiments of the method for detecting homogeneity of concrete of the present invention, and details are not repeated herein.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects; the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. 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 system that comprises the element.
For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, in that elements described as separate components may or may not be physically separate. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
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 solution of the present invention may be substantially or partially embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the concrete homogeneity detecting method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A concrete homogeneity detection method is characterized by comprising the following steps:
collecting feeding data of each original material in a concrete station, wherein the feeding data comprise weight data and image data, and the original material comprises aggregate and sand;
identifying the particle sizes of the aggregate and the sandstone according to the image data, and determining the standard weight ratio of each original material according to the particle sizes;
and calculating the real-time weight ratio of each raw material according to the weight data, and measuring and calculating the concrete homogeneity according to the standard weight ratio and the real-time weight ratio.
2. The method for detecting concrete homogeneity according to claim 1, wherein the step of identifying the particle sizes of the aggregates and the gravels according to the image data comprises:
inputting the image data into a preset classification detection model, wherein the classification detection model is obtained by performing iterative training on a preset basic classification detection model by using the image data of each original material, and the classification detection model comprises a first identification model for identifying the image data of the aggregate and a second identification model for identifying the image data of the sandstone;
classifying the image data, and identifying the image data of the aggregate and the image data of the sand from the image data;
and identifying the image data of the aggregate by using the first identification model, and identifying the image data of the sandstone by using the second identification model to obtain the particle sizes of the aggregate and the sandstone.
3. The method of claim 2, wherein the classification detection model comprises a target classification model for classifying the image data of each raw material, and the step of classifying the image data comprises:
preprocessing and extracting features of the image data to obtain feature information of each original material;
and inputting the characteristic information into a target classification model in the classification detection model, and classifying the image data of each original material.
4. The method for detecting homogeneity of concrete according to claim 1, wherein after the step of performing homogeneity estimation based on the standard weight ratio and the real-time weight ratio and determining homogeneity of concrete based on estimation results, the method further comprises:
comparing the concrete homogeneity with a preset homogeneity standard to determine whether the concrete homogeneity is qualified;
if the concrete homogeneity is not qualified, controlling the feeding speed of each original material according to the concrete homogeneity so as to control the weight data of each original material;
and returning and executing the step of collecting the feeding data of each original material in the concrete station until the homogeneity of the concrete is qualified.
5. The method for detecting homogeneity of concrete according to claim 1, wherein after the step of performing homogeneity estimation based on the standard weight ratio and the real-time weight ratio and determining homogeneity of concrete based on estimation results, the method further comprises:
storing the homogeneity of the concrete, and generating homogeneity early warning trend according to the stored homogeneity of the concrete;
and displaying the homogeneity early warning trend, and outputting early warning information according to the homogeneity early warning trend.
6. The method for detecting concrete homogeneity according to claim 1, wherein after the step of identifying the particle sizes of the aggregates and the gravels according to the image data, the method further comprises:
comparing the particle sizes of the aggregate and the sandstone with a preset standard particle size, and determining whether the particle sizes of the aggregate and the sandstone are qualified or not;
and if the particle size of the aggregate and/or the sandstone is unqualified, outputting early warning prompt information.
7. The method of detecting homogeneity of a concrete according to any one of claims 1 to 6, further comprising:
and collecting data of the concrete material with qualified homogeneity, and establishing a homogeneity standard library based on the data of the concrete material, wherein the homogeneity standard library comprises homogeneity standards, standard particle size and standard weight ratio.
8. A concrete homogeneity detection device, characterized in that, the concrete homogeneity detection device includes:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring feeding data of each original material in a concrete station, the feeding data comprises weight data and image data, and the original material comprises aggregate and gravel;
the characteristic calculation module is used for identifying the particle sizes of the aggregate and the sandstone according to the image data and determining the standard weight ratio of each original material according to the particle sizes;
and the homogeneity measuring and calculating module is used for calculating the real-time weight ratio of each raw material according to the weight data and measuring and calculating the homogeneity of the concrete according to the standard weight ratio and the real-time weight ratio.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a concrete homogeneity detection program stored on the memory and operable on the processor, the concrete homogeneity detection program when executed by the processor implementing the steps of the concrete homogeneity detection method of any one of claims 1 to 7.
10. A computer-readable storage medium, wherein a concrete homogeneity detection program is stored thereon, which when executed by a processor implements the steps of the concrete homogeneity detection method of any one of claims 1 to 7.
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