Intelligent concrete strength detection method and system

Abstract

The application provides a kind of intelligent concrete strength detection system and method according to the application, comprising: closed rack module;Automatic feeding positioning module;Surface pretreatment module;Coupling agent automatic supply module;Coaxial synchronous detection execution module;Intelligent processing module of industrial control;Table self-cleaning module;Cloud data transmission unit.The application creates orthogonal coaxial synchronous detection mechanical structure of ultrasonic rebound, realizes the synchronous acquisition of two types of parameters at the same measuring point, completely solves the problem of traditional step-by-step detection measuring point misplacement, eliminates data coupling error from the mechanical structure level, and greatly improves the matching degree and accuracy of detection data.

Description

Technical Field

[0001] This invention relates to the field of intelligent testing equipment technology, specifically to an intelligent concrete strength testing method and system; more specifically, to a fully automatic concrete test block strength testing system integrating mechanical automation, multi-source sensing, ultrasonic rebound comprehensive testing and artificial intelligence algorithms. Background Technology

[0002] The compressive strength of standard concrete cube test blocks is a core indicator for quality acceptance in construction projects, commercial concrete batching plants, and building materials laboratories. Currently, the mainstream testing methods in the industry fall into two categories: one is destructive testing using a pressure testing machine, where the test blocks cannot be reused after testing, the testing process is cumbersome, labor-intensive, and inefficient for batch testing; the other is a combined ultrasonic rebound non-destructive testing method. This method combines the advantages of a rebound hammer for surface hardness and an ultrasonic tester for internal density, comprehensively determining concrete strength. Its testing accuracy is superior to single testing methods and is the non-destructive testing method recommended by current standards.

[0003] Currently, ultrasonic rebound testing equipment is mostly modular and handheld, which has several drawbacks in practical applications: First, the devices are independent of each other, requiring manual operation to complete tasks such as placing test blocks, cleaning surfaces, applying coupling agent, aligning measuring points, and recording data. Testing a single test block by a single person is time-consuming, resulting in extremely low efficiency for testing large batches of test blocks. Second, manual operation cannot guarantee precise alignment between the rebound impact point and the ultrasonic transmission path. Misalignment of measuring points leads to decreased correlation between the two types of test data, further increasing the error in strength estimation. Third, surface defects such as laitance, dust, and unevenness on the test blocks are not uniformly pre-treated, and uneven application of coupling agent introduces systematic errors. Fourth, traditional testing equipment only uses fixed empirical formulas to calculate strength, and cannot dynamically correct for factors such as concrete curing age, aggregate type, recycled aggregate content, and surface defects. This results in significant deviations in testing recycled concrete and early-age concrete. Furthermore, existing equipment lacks automatic data archiving, traceability, and integration with enterprise digital platforms, making it difficult to meet the digital management requirements of smart factories and high-tech enterprises.

[0004] A search of existing patents and publicly available technical literature reveals that currently only simple clamping bracket-type auxiliary devices exist on the market. There is currently no fully automated, integrated testing equipment for national standard concrete test blocks, encompassing automatic feeding, positioning and leveling, surface pretreatment, coaxial synchronous testing, intelligent calculation, automatic cleaning, and data uploading. This indicates a significant technological gap within the industry. Therefore, developing a fully automated, integrated ultrasonic rebound intelligent strength testing system for concrete test blocks has significant engineering application value and technological innovation implications. Summary of the Invention

[0005] In view of the deficiencies in the existing technology, the purpose of this invention is to provide an intelligent method and system for testing concrete strength.

[0006] An intelligent concrete strength testing system provided by the present invention includes: Enclosed frame module: along the material conveying direction, it is divided into feeding station, pre-processing station, coaxial inspection station, and discharging station; Automatic feed and positioning module: including servo translation belt, lateral centering cylinder, lifting support platform and laser flatness sensor, which identifies test block tilt and corner defects and sorts out unqualified test blocks; Surface pretreatment module: includes a servo lifting micro rotary grinding disc and a negative pressure dust removal fan. The rotary grinding disc is used to grind and remove laitance and surface defects from the concrete test block. The negative pressure dust removal fan collects dust and debris generated during grinding. Automatic coupling agent supply module: It consists of a quantitative plunger pump and a flexible coating sponge head. Based on the surface roughness data of the test block collected by the laser flatness sensor, it adaptively adjusts the coupling agent extrusion amount and coating thickness. Coaxial synchronous detection and execution module: includes a transversely symmetrically arranged ultrasonic transmitting transducer and an ultrasonic receiving transducer, the ultrasonic transmitting transducer and the ultrasonic receiving transducer are coaxially opposite each other, and a servo-driven rebound impact component is set vertically at the midpoint of their central axis. The rebound impact rod and the ultrasonic transmission path are arranged in a spatially orthogonal coaxial manner, which is used to synchronously collect rebound characteristic signals and ultrasonic transmission waveform parameters at the same measuring point. Industrial control intelligent processing module: Built-in multi-dimensional nonlinear AI fusion strength measurement model, pre-stores correction coefficient database corresponding to different aggregate types, curing age, and test block size, and automatically calculates the estimated concrete compressive strength based on synchronously collected rebound value, ultrasonic velocity, amplitude attenuation coefficient and test block basic parameters; The self-cleaning module for the work surface includes a high-pressure air blowing component and a rolling brush, which automatically removes residual dust and coupling agent residue from the workstation surface after the test is completed; the cloud data transmission unit encrypts and stores the original test data and estimated intensity value on the blockchain, and simultaneously uploads them to the enterprise quality control platform and data reporting system; Cloud data transmission unit: The detection data is stored and uploaded.

[0007] Preferably, in the enclosed rack module: The frame module is a closed steel frame with a shock-absorbing base at the bottom. A touch screen and a QR code scanning unit are installed on the outside of the frame. The QR code scanning unit is used to read the basic information of the test block number, mix ratio, curing age, aggregate type and test block size, and transmit it to the industrial control intelligent processing module at the same time.

[0008] Preferably, in the automatic feed and positioning module: It includes a servo translation belt, a lateral centering cylinder, a lifting support platform, and a laser flatness sensor. It adaptively clamps two types of national standard concrete test blocks, 100mm and 150mm in diameter, and automatically identifies test block tilting and corner defects and sorts out unqualified test blocks. Using a laser flatness sensor as the identification technology, when the test block is transported to the positioning station by the servo translation belt, the lateral centering cylinder moves to initially position the test block; at the same time, the vertically set laser flatness sensor performs non-contact scanning of the test block surface; when the sensor detects that the tilt angle of the test block exceeds the set threshold, or that there are preset missing corners or cracks on the surface, it is determined to be a defective test block, and the system will control the servo translation belt to automatically reverse and divert the defective test block to the waste discharge area.

[0009] Preferably, in the industrial control intelligent processing module: The calculation formula for the multivariate nonlinear AI fusion strength measurement model is: fcue=Kt·Kg·KA·Ks·a·Vb·Rc; Wherein, Kt is the curing age correction coefficient; Kg is the aggregate / recycled aggregate correction coefficient; KA is the ultrasonic amplitude attenuation correction factor; Ks is the surface smoothness deviation; V is the ultrasonic transmission velocity; R is the rebound characteristic value; a, b, and c are model regression constants; the industrial control intelligent processing module automatically removes abnormal measurement point data exceeding 3 times the standard deviation, and outputs the estimated compressive strength of concrete by taking the average value of the effective measurement points. The specific execution process and logic are as follows: Parameter matching: Based on the acquired basic information of the test block, the industrial control computer automatically retrieves the corresponding correction coefficients from the built-in database, including the curing age correction coefficient Kt, the aggregate recycled aggregate correction coefficient Kg, the ultrasonic amplitude attenuation correction factor KA, and the surface flatness deviation Ks; among which, the basic information of the test block includes the mix proportion, curing age, and aggregate type; The raw detection data comes from the coaxial synchronous detection execution module, which has a built-in ultrasonic transmitting transducer, an ultrasonic receiving transducer, and a rebound impact component with a built-in impact force sensor. The equipment fixes the test block fixture through a servo mechanism and uses motor control to complete the data acquisition of 9 measuring points in a 3×3 grid. The ultrasonic emission and rebound impact are triggered synchronously. The system collects the ultrasonic transmission velocity and rebound characteristic value at the same time. The ultrasonic transmission velocity is calculated through amplitude attenuation, and the rebound characteristic value is the impact energy collected by the impact force sensor. Model fusion calculation: The physical signal rebound characteristic value R and ultrasonic transmission velocity V collected in real time by the coaxial synchronous detection module are substituted into the nonlinear AI fusion strength measurement model; Abnormal data processing: The module has built-in abnormal data removal logic; for the collected data from 9 measurement points, it automatically identifies and removes abnormal data points that exceed 3 times the standard deviation. Output results: The average value of the remaining valid measuring points is taken to calculate the estimated compressive strength of the concrete and generate the final standardized test report.

[0010] Preferably, in the coaxial synchronous detection execution module: The rebound impact assembly has a built-in impact force sensor to calibrate the impact output energy in real time; pressure sensing films are set on the end faces of the ultrasonic transmitting transducer and the ultrasonic receiving transducer, and the servo mechanism finely adjusts the clamping stroke in real time according to the contact pressure to ensure the stability of the ultrasonic coupling state.

[0011] Preferably, the machine is equipped with a safety light curtain and a fault audible and visual alarm unit. When there is a shortage of coupling agent, overload of the servo mechanism, or a test block jamming fault, the equipment will automatically stop and trigger an audible and visual alarm.

[0012] According to the present invention, an intelligent concrete strength testing method is provided, which uses the aforementioned intelligent concrete strength testing system to perform the following: Step S1: Place the standard concrete test block at the feeding station and enter the basic information of the test block through the QR code scanning unit; Step S2: The servo-driven translation belt transports the test block to the pre-processing station, and the automatic feed positioning module completes the centering, leveling and defect detection of the test block; Step S3: The surface pretreatment module polishes and removes dust from the test surface of the test block, and the automatic coupling agent supply module completes quantitative coating on the end face of the ultrasonic transducer. Step S4: The test block is transported to the coaxial testing station, the ultrasonic transducer clamps the two sides of the test block, and the rebound impact assembly simultaneously completes the grid measuring point detection and collects multiple sets of physical signals; Step S5: The industrial control intelligent processing module retrieves the corresponding correction coefficient, substitutes it into the AI ​​fusion strength measurement model to calculate the estimated strength, removes abnormal data and generates a test report; Step S6: After the test is completed, each mechanism is reset, the self-cleaning module of the workstation is cleaned, the test block is transported to the discharge station, and the test data is stored and uploaded through the cloud data transmission unit.

[0013] Preferably, in the automatic feed and positioning module: It includes a servo translation belt, a lateral centering cylinder, a lifting support platform, and a laser flatness sensor. It adaptively clamps two types of national standard concrete test blocks, 100mm and 150mm in diameter, and automatically identifies test block tilting and corner defects and sorts out unqualified test blocks. Using a laser flatness sensor as the identification technology, when the test block is transported to the positioning station by the servo translation belt, the lateral centering cylinder moves to initially position the test block; at the same time, the vertically set laser flatness sensor performs non-contact scanning of the test block surface; when the sensor detects that the tilt angle of the test block exceeds the set threshold, or that there are preset missing corners or cracks on the surface, it is determined to be a defective test block, and the system will control the servo translation belt to automatically reverse and divert the defective test block to the waste discharge area.

[0014] Preferably, in the industrial control intelligent processing module: The calculation formula for the multivariate nonlinear AI fusion strength measurement model is: fcue=Kt·Kg·KA·Ks·a·Vb·Rc; Wherein, Kt is the curing age correction coefficient; Kg is the aggregate / recycled aggregate correction coefficient; KA is the ultrasonic amplitude attenuation correction factor; Ks is the surface smoothness deviation; V is the ultrasonic transmission velocity; R is the rebound characteristic value; a, b, and c are model regression constants; the industrial control intelligent processing module automatically removes abnormal measurement point data exceeding 3 times the standard deviation, and outputs the estimated compressive strength of concrete by taking the average value of the effective measurement points. The specific execution process and logic are as follows: Parameter matching: Based on the acquired basic information of the test block, the industrial control computer automatically retrieves the corresponding correction coefficients from the built-in database, including the curing age correction coefficient Kt, the aggregate recycled aggregate correction coefficient Kg, the ultrasonic amplitude attenuation correction factor KA, and the surface flatness deviation Ks; among which, the basic information of the test block includes the mix proportion, curing age, and aggregate type; The raw detection data comes from the coaxial synchronous detection execution module, which has a built-in ultrasonic transmitting transducer, an ultrasonic receiving transducer, and a rebound impact component with a built-in impact force sensor. The equipment fixes the test block fixture through a servo mechanism and uses motor control to complete the data acquisition of 9 measuring points in a 3×3 grid. The ultrasonic emission and rebound impact are triggered synchronously. The system collects the ultrasonic transmission velocity and rebound characteristic value at the same time. The ultrasonic transmission velocity is calculated through amplitude attenuation, and the rebound characteristic value is the impact energy collected by the impact force sensor. Model fusion calculation: The physical signal rebound characteristic value R and ultrasonic transmission velocity V collected in real time by the coaxial synchronous detection module are substituted into the nonlinear AI fusion strength measurement model; Abnormal data processing: The module has built-in abnormal data removal logic; for the collected data from 9 measurement points, it automatically identifies and removes abnormal data points that exceed 3 times the standard deviation. Output results: The average value of the remaining valid measuring points is taken to calculate the estimated compressive strength of the concrete and generate the final standardized test report.

[0015] Preferably, the machine is equipped with a safety light curtain and a fault audible and visual alarm unit. When there is a shortage of coupling agent, overload of the servo mechanism, or a test block jamming fault, the equipment will automatically stop and trigger an audible and visual alarm.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention features a unique ultrasonic rebound orthogonal coaxial synchronous detection mechanical structure, which enables the synchronous acquisition of two types of parameters at the same measurement point. This completely solves the problem of misalignment of measurement points in traditional step-by-step detection, eliminates data coupling errors at the mechanical structure level, and significantly improves the matching degree and accuracy of the detection data.

[0017] 2. This invention integrates a pretreatment unit that includes automatic feeding, positioning and leveling, slurry grinding, negative pressure dust removal, and quantitative coating of coupling agent. The entire process requires no manual intervention, ensuring a uniform test surface condition, eliminating systematic errors caused by manual operation, and significantly improving test consistency.

[0018] 3. This invention abandons the traditional fixed binary strength measurement formula and introduces multiple correction factors such as curing age, aggregate type, surface smoothness, and ultrasonic amplitude attenuation to construct a multivariate nonlinear AI fusion strength measurement model. It can be adapted to various types of test blocks such as ordinary concrete, recycled concrete, and early-age concrete, with a wider range of applications and higher detection accuracy.

[0019] 4. This invention achieves fully automated closed-loop operation of "detection-calculation-cleaning-storage-upload", which greatly shortens the detection time of a single test block and improves the batch detection efficiency by more than 8 times compared with the traditional manual method, significantly reducing the intensity of manual labor.

[0020] 5. This invention is equipped with blockchain data storage and cloud transmission functions, ensuring that the test data is tamper-proof and can be directly connected to the enterprise quality platform, the R&D ledger and reporting system of high-tech enterprises, and is perfectly adapted to intelligent mixing plants, zero-carbon factories, and the digital management and control system of high-tech enterprises.

[0021] 6. This invention features multiple safety protection and fault warning mechanisms, including test block defect identification, mechanism overload protection, and material shortage alarm, ensuring strong equipment safety and stability. It is also compatible with 100mm and 150mm national standard test blocks, making it highly versatile. Attached Figure Description

[0022] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall invention. Detailed Implementation

[0023] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0024] Example 1: like Figure 1 As shown, the purpose of this invention is to overcome the shortcomings of existing split-type testing equipment, such as excessive manual intervention, large deviation in the alignment of measuring points, low testing efficiency, rigid strength measurement models, and inconvenient data management. It provides an intelligent concrete strength testing system and method that achieves unmanned operation throughout the process, and improves testing accuracy and efficiency from both mechanical structure and algorithm levels, making it suitable for batch testing scenarios of various concrete test blocks.

[0025] To achieve the above objectives, the present invention adopts the following technical solution: On one hand, this invention provides an intelligent concrete strength testing system, including a closed frame module, an automatic feeding and positioning module, a surface pretreatment module, an automatic coupling agent supply module, a coaxial synchronous detection and execution module, an industrial control intelligent processing module, a table self-cleaning module, and a cloud data transmission unit; a touch screen display and a QR code scanning unit are installed on the outside of the frame, and the inside is divided into a feeding station, a pretreatment station, a coaxial detection station, and a discharge station along the material conveying direction; the whole machine is equipped with a safety light curtain and a fault audible and visual alarm unit.

[0026] The automatic feeding and positioning module includes a servo translation belt, a lateral centering cylinder, a bottom lifting support platform, and a laser flatness sensor. It can adaptively clamp two types of national standard concrete test blocks, 100mm and 150mm, and automatically complete the test block transportation, centering, and height fine adjustment. At the same time, it can identify defects such as test block tilting and missing corners, and automatically divert unqualified test blocks.

[0027] This module uses a laser flatness sensor as its core identification technology. When the test block is transported to the positioning station by a servo-driven translation belt, a lateral alignment cylinder actuates to initially position the test block. Simultaneously, a vertically positioned laser flatness sensor performs a non-contact, high-precision scan of the test block surface.

[0028] When the sensor detects that the tilt angle of the test block exceeds the set threshold, or that there are obvious missing corners or cracks on the surface, it is determined to be a "non-conforming test block". At this time, the system will control the servo translation belt to automatically reverse and divert the non-conforming test blocks to the waste discharge area to ensure that they do not enter the subsequent coupling agent coating and coaxial inspection stations, thereby ensuring the consistency of the inspection process.

[0029] The surface pretreatment module is located at the pretreatment station and consists of a servo-driven lifting micro-rotating grinding disc and a negative pressure dust removal fan. The grinding disc adheres to the test surface of the test block to remove laitance and surface defects, while the negative pressure fan simultaneously removes grinding dust to ensure that the test surface is clean and flat.

[0030] The automatic coupling agent supply module uses a quantitative plunger pump paired with a flexible coating sponge head, and is connected to the industrial control intelligent processing module. It adaptively adjusts the amount of coupling agent extruded according to the surface roughness of the test block to achieve uniform thin-layer coating.

[0031] The coaxial synchronous detection and execution module is the core mechanical structure of this system. It features a transversely symmetrical arrangement of ultrasonic transmitting transducers and ultrasonic receiving transducers, with the two sets of transducers coaxially opposed. A servo-driven rebound impact assembly is vertically positioned at the midpoint of the coaxial center line of the two transducers. The rebound impact rod is orthogonal and coaxial with the ultrasonic transmission path space, enabling the synchronous acquisition of rebound impact data, ultrasonic time, amplitude attenuation, and other parameters at the same measuring point. The rebound impact assembly has a built-in impact force sensor, and a pressure-sensing diaphragm is installed on the end face of the ultrasonic transducer to ensure stable mechanical operation.

[0032] The industrial control intelligent processing module has a built-in multivariate nonlinear AI fusion strength measurement model, and pre-stores a database of correction coefficients for ordinary aggregates, recycled aggregates, and different curing ages. The calculation formula of the multivariate nonlinear AI fusion strength measurement model fcue is: fcue=Kt·Kg·KA·Ks·a·V·b·R·c where Kt is the curing age correction coefficient; Kg is the aggregate / recycled aggregate correction coefficient; KA is the ultrasonic amplitude attenuation correction factor; Ks is the surface smoothness deviation; V is the ultrasonic transmission velocity; R is the rebound characteristic value; and a, b, and c are model regression constants. The industrial control intelligent processing module automatically removes abnormal measurement point data exceeding 3 times the standard deviation and outputs the estimated compressive strength of concrete by taking the average of the effective measurement points.

[0033] The industrial control intelligent processing module adopts a multi-dimensional nonlinear AI fusion strength measurement model, and its specific execution process and logic are as follows: Parameter matching: Based on the acquired basic information of the test block (mixing ratio, curing age, aggregate type, etc.), the industrial control computer automatically retrieves the corresponding correction coefficients from the built-in database, including the curing age correction coefficient Kt, the aggregate / recycled aggregate correction coefficient Kg, the ultrasonic amplitude attenuation correction factor KA, and the surface smoothness deviation Ks. The raw detection data all come from the "coaxial synchronous detection execution module." This module has a built-in ultrasonic transmitting transducer, an ultrasonic receiving transducer (coaxially opposed), and a rebound impact assembly with a built-in impact force sensor. The equipment fixes the test block fixture via a servo mechanism and uses motor control to complete data acquisition at 9 measurement points in a 3×3 grid. Specifically, ultrasonic emission and rebound impact are triggered synchronously, and the system simultaneously collects the ultrasonic transmission velocity (calculated through amplitude attenuation) and the rebound characteristic value (impact force sensor collects the impact energy).

[0034] Model fusion calculation: The physical signals (rebound characteristic value R and ultrasonic transmission velocity V) acquired in real time by the coaxial synchronous detection module are substituted into the nonlinear AI fusion strength measurement model. Its core calculation formula is: fcue=Kt·Kg·KA·Ks·a·Vb·Rc (where a,b,c are model regression constants).

[0035] Outlier handling: The module has built-in logic for removing outlier data. For the collected data from the 9 measurement points, it automatically identifies and removes outlier data points that exceed 3 times the standard deviation.

[0036] Output results: The average value of the remaining valid measuring points is taken to calculate the estimated compressive strength of the concrete and generate the final standardized test report.

[0037] The self-cleaning module of the worktable is arranged around the testing station and consists of a high-pressure air blowing component and a rolling brush. After the testing is completed, it automatically cleans the residual dust and coupling agent residue at the workstation.

[0038] The cloud data transmission unit is connected to the industrial control intelligent processing module to encrypt and store the original detection waveform, rebound data, estimated strength, and basic information of the test block on the blockchain, and simultaneously upload them to the enterprise quality control platform and BI reporting system.

[0039] On the other hand, the present invention also provides a fully automatic integrated ultrasonic rebound intelligent strength testing method for concrete test blocks, including the following steps: (1) feeding and information entry: placing the standard concrete test block at the feeding station, reading the basic information such as the test block number, mix ratio, curing age, aggregate type, and test block size through the QR code scanning unit, and transmitting it to the industrial control intelligent processing module; (2) conveying and positioning: the servo translation belt conveys the test block to the pretreatment station, the lateral centering cylinder and the lifting support platform complete the centering and leveling of the test block, the laser flatness sensor detects the appearance defects of the test block, and the unqualified test blocks are automatically diverted; (3) surface pretreatment: the servo lifting grinding disc descends to grind the test block detection surface, and the negative pressure dust removal fan collects dust synchronously; (4) coupling agent coating: the quantitative plunger pump drives the flexible sponge head to complete the quantitative coating of coupling agent on the end face of the ultrasonic transducer; (5) Synchronous signal acquisition: The test block is transported to the coaxial testing station, and the ultrasonic transducers on both sides are servo-feeded to clamp the test block. The rebound impact component and the ultrasonic system are started synchronously, and the data acquisition of 9 measuring points is completed according to the 3×3 grid. (6) Intelligent calculation and data processing: The industrial control intelligent processing module retrieves the corresponding correction coefficient, substitutes it into the AI ​​fusion model to calculate the intensity, automatically removes abnormal data, and generates a standard test report. (7) Station cleaning and unloading: Each testing mechanism is reset, the table self-cleaning module starts the cleaning operation, and the servo belt transports the qualified test block to the unloading station. (8) Data storage and uploading: All test data is encrypted and uploaded to the blockchain, and is synchronously pushed to the enterprise digital management and control platform.

[0040] Furthermore, the frame is a fully enclosed structure, which can prevent dust from escaping, and all internal moving mechanisms are treated with dustproof protection.

[0041] Furthermore, all the servo mechanisms adopt closed-loop control to ensure the stability of the motion stroke, clamping force, and impact energy.

[0042] Furthermore, the QR code scanning unit supports continuous scanning and input of batch test blocks, adapting to large-scale testing operations.

[0043] Example 2: Example 2 is a preferred embodiment of Example 1, and is used to illustrate the present invention in more detail.

[0044] An intelligent concrete strength testing system is designed with a closed steel frame and a rubber shock-absorbing base at the bottom. The frame is equipped with a 10-inch touch screen and a QR code scanning unit on the outside, and the interior is divided into four stations: feeding, pretreatment, coaxial testing, and discharging.

[0045] The automatic feed and positioning module uses a servo translation belt, is equipped with two sets of lateral centering cylinders and an electric lifting platform, and is equipped with a laser flatness sensor to adapt to 150mm national standard concrete cube test blocks.

[0046] The surface pretreatment module is equipped with a Φ60mm micro rotary polishing disc with a polishing speed of 2800r / min, and is matched with a negative pressure dust removal fan with an air volume of 120m³ / h.

[0047] The automatic coupling agent supply module uses a micro quantitative plunger pump with a minimum single extrusion volume of 0.01 mL, paired with a circular flexible sponge coating head.

[0048] In the coaxial synchronous detection and execution module, the coaxial spacing between the ultrasonic transmitting transducer and the ultrasonic receiving transducer is adjustable. The standard impact energy of the rebound impact component is 2.207J, and the impact frequency is 1 time / second. The detection accuracy of the pressure sensing film on the transducer end face is ±0.1N, and the detection accuracy of the rebound impact force sensor is ±0.5J.

[0049] The industrial control intelligent processing module has a built-in AI fusion strength measurement model, and pre-stores correction coefficients for ordinary crushed stone aggregate, recycled aggregate, and different curing ages from 3d to 90d; the whole machine is equipped with safety light curtains and audible and visual alarms.

[0050] The countertop self-cleaning module includes a high-pressure air nozzle and a nylon rolling brush with an air pressure of 0.3MPa.

[0051] The cloud data transmission unit supports 4G / Ethernet dual communication modes, and the data is stored using a blockchain hash algorithm.

[0052] The detection method steps corresponding to this embodiment are as follows: S1. Place a 150mm standard concrete test block at the feeding station, scan the code to record information such as the test block's curing age (28 days), ordinary crushed stone aggregate, and mix proportion; S2. The servo belt conveys the test block to the pretreatment station, the cylinder is centered, the platform is leveled, and the laser sensor checks the test block for defects before proceeding to the next process; S3. The grinding disc descends to grind the test surface of the test block, and the negative pressure fan simultaneously removes dust for 15 seconds; S4. The plunger pump quantitatively extrudes the coupling agent, and the sponge head completes the coating on the transducer end face; S5. Test... The block enters the coaxial testing station, the ultrasonic transducer clamps both sides of the block, and after the pressure stabilizes, ultrasonic emission and rebound impact are started simultaneously to complete the data acquisition of 9 measuring points (3×3); S6, the industrial control module retrieves the 28-day age and ordinary aggregate correction coefficient, substitutes them into the model to calculate the strength, automatically removes one abnormal measuring point, and outputs the estimated compressive strength; S7, the testing mechanism is reset, the high-pressure air blowing + brush cleaning station is started, and the belt conveyor transports the block to the discharge station; S8, the original test data and strength results are encrypted and uploaded to the blockchain, and simultaneously uploaded to the enterprise quality control platform.

[0053] This embodiment focuses on testing C30 ordinary concrete test blocks, with a total testing time of 36 seconds for a single test block.

[0054] Example 3 The structure and method of this embodiment are basically the same as those of embodiment 2. The difference is that the equipment parameters are adapted to 100mm national standard concrete test blocks, the test blocks are recycled coarse aggregate concrete, and the curing age is 7 days; the grinding time of the grinding disc is 12 seconds, and the amount of coupling agent extruded is automatically increased by 10% according to the surface roughness of the test block.

[0055] Example 4 The structure and method of this embodiment are basically the same as those of embodiment 2. The difference is that the automatic diversion function is turned off, and the test is performed on 150mm ordinary concrete test blocks with slight surface defects. The AI ​​model automatically calls the surface flatness correction coefficient to participate in the strength calculation.

[0056] Comparative Example 1 The traditional manual handheld rebound hammer and split ultrasonic testing instrument were used to manually test 150mm, 28-day cured C30 ordinary concrete test blocks according to the specifications. The coupling agent was applied manually, the test points were aligned manually, the data was recorded manually, and the strength was calculated manually.

[0057] Comparative Example 2 The test block was fixed by a simple clamping bracket. The rest of the operation process and equipment were the same as those of Comparative Example 1. There were no automatic grinding, dust removal and coupling agent coating functions.

[0058] Comparative Example 3 Using the hardware device of this invention, the AI ​​multi-parameter correction function is turned off, and only the traditional fixed binary formula fcu=a·Vb·Rc is used to calculate the concrete strength. The rest of the process is the same as in Example 1.

[0059] Performance testing According to GB / T 50081-2019 "Standard for Test Methods of Physical and Mechanical Properties of Concrete", JGJ / T23-2011 "Technical Specification for Testing Compressive Strength of Concrete by Rebound Method", and CECS02:2005 "Technical Specification for Testing Strength of Concrete by Ultrasonic Rebound Combined Method", the three indicators of single-block testing time, relative error of strength estimation, and batch testing stability were tested for Examples 1-3 and Comparative Examples 1-3, respectively. Each group of tests repeated 30 concrete blocks of the same batch, and the average value was taken. The test results are shown in the table below.

[0060]

[0061] The test results show that: Compared with traditional manual inspection and simple bracket-assisted inspection, the inspection time of the present invention is significantly shortened and the batch inspection efficiency is significantly improved; at the same time, the mechanical structure of the present invention has a unified inspection state, a smaller data dispersion coefficient, and stronger inspection stability.

[0062] Examples 2-4 rely on a coaxial synchronous detection structure and a multi-factor AI correction model. The relative error of strength estimation is much lower than that of each pair of proportions. It still maintains high detection accuracy for recycled concrete and concrete with surface defects.

[0063] Comparative Example 3 uses the hardware of this invention but disables the intelligent correction algorithm, resulting in a significant increase in detection error. This demonstrates that the multivariate nonlinear AI fusion model of this invention can effectively adapt to different working conditions and improve the accuracy of intensity estimation.

[0064] In summary, this invention, through the combination of an innovative coaxial synchronous mechanical structure, a fully automated pre-processing mechanism, and a multi-parameter intelligent strength measurement algorithm, solves the industry pain points of existing ultrasonic rebound testing technology, such as low efficiency, large errors, poor adaptability, and insufficient digitalization. The equipment is highly automated, intelligent, and integrated, and has good prospects for widespread application.

[0065] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0066] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. An intelligent concrete strength testing system, characterized in that, include: Enclosed frame module: along the material conveying direction, it is divided into feeding station, pre-processing station, coaxial inspection station, and discharging station; Automatic feed and positioning module: including servo translation belt, lateral centering cylinder, lifting support platform and laser flatness sensor, which identifies test block tilt and corner defects and sorts out unqualified test blocks; Surface pretreatment module: includes a servo lifting micro rotary grinding disc and a negative pressure dust removal fan. The rotary grinding disc is used to grind and remove laitance and surface defects from the concrete test block. The negative pressure dust removal fan collects dust and debris generated during grinding. Automatic coupling agent supply module: It consists of a quantitative plunger pump and a flexible coating sponge head. Based on the surface roughness data of the test block collected by the laser flatness sensor, it adaptively adjusts the coupling agent extrusion amount and coating thickness. Coaxial synchronous detection and execution module: includes a transversely symmetrically arranged ultrasonic transmitting transducer and an ultrasonic receiving transducer, the ultrasonic transmitting transducer and the ultrasonic receiving transducer are coaxially opposite each other, and a servo-driven rebound impact component is set vertically at the midpoint of their central axis. The rebound impact rod and the ultrasonic transmission path are arranged in a spatially orthogonal coaxial manner, which is used to synchronously collect rebound characteristic signals and ultrasonic transmission waveform parameters at the same measuring point. Industrial control intelligent processing module: Built-in multi-dimensional nonlinear AI fusion strength measurement model, pre-stores correction coefficient database corresponding to different aggregate types, curing age, and test block size, and automatically calculates the estimated concrete compressive strength based on synchronously collected rebound value, ultrasonic velocity, amplitude attenuation coefficient and test block basic parameters; The self-cleaning module for the work surface includes a high-pressure air blowing component and a rolling brush, which automatically removes residual dust and coupling agent residue from the workstation surface after the test is completed; the cloud data transmission unit encrypts and stores the original test data and estimated intensity value on the blockchain, and simultaneously uploads them to the enterprise quality control platform and data reporting system; Cloud data transmission unit: The detection data is stored and uploaded.

2. The intelligent concrete strength testing system according to claim 1, characterized in that, In the enclosed rack module: The frame module is a closed steel frame with a shock-absorbing base at the bottom. A touch screen and a QR code scanning unit are installed on the outside of the frame. The QR code scanning unit is used to read the basic information of the test block number, mix ratio, curing age, aggregate type and test block size, and transmit it to the industrial control intelligent processing module at the same time.

3. The intelligent concrete strength testing system according to claim 1, characterized in that, In the automatic feed positioning module: It includes a servo translation belt, a lateral centering cylinder, a lifting support platform, and a laser flatness sensor. It adaptively clamps two types of national standard concrete test blocks, 100mm and 150mm in diameter, and automatically identifies test block tilting and corner defects and sorts out unqualified test blocks. Using a laser flatness sensor as the identification technology, when the test block is transported to the positioning station by the servo translation belt, the lateral centering cylinder moves to initially position the test block; at the same time, the vertically set laser flatness sensor performs non-contact scanning of the test block surface; when the sensor detects that the tilt angle of the test block exceeds the set threshold, or that there are preset missing corners or cracks on the surface, it is determined to be a defective test block, and the system will control the servo translation belt to automatically reverse and divert the defective test block to the waste discharge area.

4. The intelligent concrete strength testing system according to claim 1, characterized in that, In the industrial control intelligent processing module: The calculation formula for the multivariate nonlinear AI fusion strength measurement model is: fcue=Kt·Kg·KA·Ks·a·Vb·Rc; Wherein, Kt is the curing age correction coefficient; Kg is the aggregate / recycled aggregate correction coefficient; KA is the ultrasonic amplitude attenuation correction factor; Ks is the surface smoothness deviation; V is the ultrasonic transmission velocity; R is the rebound characteristic value; a, b, and c are model regression constants; the industrial control intelligent processing module automatically removes abnormal measurement point data exceeding 3 times the standard deviation, and outputs the estimated compressive strength of concrete by taking the average value of the effective measurement points. The specific execution process and logic are as follows: Parameter matching: Based on the acquired basic information of the test block, the industrial control computer automatically retrieves the corresponding correction coefficients from the built-in database, including the curing age correction coefficient Kt, the aggregate recycled aggregate correction coefficient Kg, the ultrasonic amplitude attenuation correction factor KA, and the surface flatness deviation Ks; among which, the basic information of the test block includes the mix proportion, curing age, and aggregate type; The raw detection data comes from the coaxial synchronous detection execution module, which has a built-in ultrasonic transmitting transducer, an ultrasonic receiving transducer, and a rebound impact component with a built-in impact force sensor. The equipment fixes the test block fixture through a servo mechanism and uses motor control to complete the data acquisition of 9 measuring points in a 3×3 grid. The ultrasonic emission and rebound impact are triggered synchronously. The system collects the ultrasonic transmission velocity and rebound characteristic value at the same time. The ultrasonic transmission velocity is calculated through amplitude attenuation, and the rebound characteristic value is the impact energy collected by the impact force sensor. Model fusion calculation: The physical signal rebound characteristic value R and ultrasonic transmission velocity V collected in real time by the coaxial synchronous detection module are substituted into the nonlinear AI fusion strength measurement model; Abnormal data processing: The module has built-in abnormal data removal logic; for the collected data from 9 measurement points, it automatically identifies and removes abnormal data points that exceed 3 times the standard deviation. Output results: The average value of the remaining valid measuring points is taken to calculate the estimated compressive strength of the concrete and generate the final standardized test report.

5. The intelligent concrete strength testing system according to claim 1, characterized in that, In the coaxial synchronization detection and execution module: The rebound impact assembly has a built-in impact force sensor to calibrate the impact output energy in real time; pressure sensing films are set on the end faces of the ultrasonic transmitting transducer and the ultrasonic receiving transducer, and the servo mechanism finely adjusts the clamping stroke in real time according to the contact pressure to ensure the stability of the ultrasonic coupling state.

6. The intelligent concrete strength testing system according to claim 1, characterized in that... The machine is equipped with a safety light curtain and a fault audible and visual alarm unit. When there is a shortage of coupling agent, overload of the servo mechanism, or a test block jamming fault, the equipment will automatically stop and trigger an audible and visual alarm.

7. An intelligent method for testing the strength of concrete, characterized in that, The intelligent concrete strength testing system according to any one of claims 1-6 performs the following: Step S1: Place the standard concrete test block at the feeding station and enter the basic information of the test block through the QR code scanning unit; Step S2: The servo-driven translation belt transports the test block to the pre-processing station, and the automatic feed positioning module completes the centering, leveling and defect detection of the test block; Step S3: The surface pretreatment module polishes and removes dust from the test surface of the test block, and the automatic coupling agent supply module completes quantitative coating on the end face of the ultrasonic transducer. Step S4: The test block is transported to the coaxial testing station, the ultrasonic transducer clamps the two sides of the test block, and the rebound impact assembly simultaneously completes the grid measuring point detection and collects multiple sets of physical signals; Step S5: The industrial control intelligent processing module retrieves the corresponding correction coefficient, substitutes it into the AI ​​fusion strength measurement model to calculate the estimated strength, removes abnormal data and generates a test report; Step S6: After the test is completed, each mechanism is reset, the self-cleaning module of the table completes the cleaning of the workstation, the test block is transported to the discharge station, and the test data is stored and uploaded through the cloud data transmission unit.

8. The intelligent concrete strength testing method according to claim 7, characterized in that, In the automatic feed positioning module: It includes a servo translation belt, a lateral centering cylinder, a lifting support platform, and a laser flatness sensor. It adaptively clamps two types of national standard concrete test blocks, 100mm and 150mm in diameter, and automatically identifies test block tilting and corner defects and sorts out unqualified test blocks. Using a laser flatness sensor as the identification technology, when the test block is transported to the positioning station by the servo translation belt, the lateral centering cylinder moves to initially position the test block; at the same time, the vertically set laser flatness sensor performs non-contact scanning of the test block surface; when the sensor detects that the tilt angle of the test block exceeds the set threshold, or that there are preset missing corners or cracks on the surface, it is determined to be a defective test block, and the system will control the servo translation belt to automatically reverse and divert the defective test block to the waste discharge area.

9. The intelligent concrete strength testing method according to claim 7, characterized in that, In the industrial control intelligent processing module: The calculation formula for fcue in the multivariate nonlinear AI fusion strength measurement model is as follows: fcue=Kt·Kg·KA·Ks·a·V·b·R·c; Wherein, Kt is the curing age correction coefficient; Kg is the aggregate / recycled aggregate correction coefficient; KA is the ultrasonic amplitude attenuation correction factor; Ks is the surface smoothness deviation; V is the ultrasonic transmission velocity; R is the rebound characteristic value; a, b, and c are model regression constants; the industrial control intelligent processing module automatically removes abnormal measurement point data exceeding 3 times the standard deviation, and outputs the estimated compressive strength of concrete by taking the average value of the effective measurement points. The specific execution process and logic are as follows: Parameter matching: Based on the acquired basic information of the test block, the industrial control computer automatically retrieves the corresponding correction coefficients from the built-in database, including the curing age correction coefficient Kt, the aggregate recycled aggregate correction coefficient Kg, the ultrasonic amplitude attenuation correction factor KA, and the surface flatness deviation Ks; among which, the basic information of the test block includes the mix proportion, curing age, and aggregate type; The raw detection data comes from the coaxial synchronous detection execution module, which has a built-in ultrasonic transmitting transducer, an ultrasonic receiving transducer, and a rebound impact component with a built-in impact force sensor. The equipment fixes the test block fixture through a servo mechanism and uses motor control to complete the data acquisition of 9 measuring points in a 3×3 grid. The ultrasonic emission and rebound impact are triggered synchronously. The system collects the ultrasonic transmission velocity and rebound characteristic value at the same time. The ultrasonic transmission velocity is calculated through amplitude attenuation, and the rebound characteristic value is the impact energy collected by the impact force sensor. Model fusion calculation: The physical signal rebound characteristic value R and ultrasonic transmission velocity V collected in real time by the coaxial synchronous detection module are substituted into the nonlinear AI fusion strength measurement model; Abnormal data processing: The module has built-in abnormal data removal logic; for the collected data from 9 measurement points, it automatically identifies and removes abnormal data points that exceed 3 times the standard deviation. Output results: The average value of the remaining valid measuring points is taken to calculate the estimated compressive strength of the concrete and generate the final standardized test report.

10. The intelligent concrete strength testing method according to claim 7, characterized in that... The machine is equipped with a safety light curtain and a fault audible and visual alarm unit. When there is a shortage of coupling agent, overload of the servo mechanism, or a test block jamming fault, the equipment will automatically stop and trigger an audible and visual alarm.

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