CN112857970A - High-precision intelligent concrete resiliometer based on NB-IoT - Google Patents
High-precision intelligent concrete resiliometer based on NB-IoT Download PDFInfo
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- CN112857970A CN112857970A CN202110075381.XA CN202110075381A CN112857970A CN 112857970 A CN112857970 A CN 112857970A CN 202110075381 A CN202110075381 A CN 202110075381A CN 112857970 A CN112857970 A CN 112857970A
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- 238000006073 displacement reaction Methods 0.000 claims abstract description 10
- 238000010079 rubber tapping Methods 0.000 claims description 9
- 230000003139 buffering effect Effects 0.000 claims description 7
- 230000006835 compression Effects 0.000 claims description 5
- 238000007906 compression Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 abstract description 5
- 230000007613 environmental effect Effects 0.000 abstract 1
- 238000005259 measurement Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 230000006855 networking Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 238000003908 quality control method Methods 0.000 description 3
- 238000012856 packing Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003116 impacting effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/02—Details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/02—Details
- G01N3/06—Special adaptations of indicating or recording means
- G01N3/068—Special adaptations of indicating or recording means with optical indicating or recording means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/40—Investigating hardness or rebound hardness
- G01N3/52—Investigating hardness or rebound hardness by measuring extent of rebound of a striking body
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
- G01N2203/0076—Hardness, compressibility or resistance to crushing
- G01N2203/0083—Rebound strike or reflected energy
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/06—Indicating or recording means; Sensing means
- G01N2203/0641—Indicating or recording means; Sensing means using optical, X-ray, ultraviolet, infrared or similar detectors
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
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- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a high-precision intelligent concrete resiliometer based on NB-IoT, which comprises a shell, an impact component, a laser ranging unit, a control circuit unit and a circuit box, wherein the impact component is arranged in the shell, and the laser ranging unit and the control circuit unit are arranged at the rear end of the shell through the circuit box. The invention adopts the laser distance measuring sensor, thus improving the displacement detection precision and prolonging the cycle service life; the voice recognition module and the internet of things module directly pack and send the measured data and the environmental data information to the cloud server, so that the labor intensity of operators is reduced, and the working efficiency is greatly improved.
Description
Technical Field
The invention relates to a rebound tester, in particular to a high-precision intelligent concrete rebound tester based on NB-IoT.
Background
The concrete strength quality is related to the safety of the main structure of the construction engineering, the strength quality control is the important factor in the quality control of a cast-in-place structure, and the concrete strength quality control is one of the necessary items of actual measurement and actual measurement. However, in the actual construction process, construction safety accidents frequently occur due to misoperation of front-line workers or inadequate supervision of managers, and huge economic losses are caused.
The rebound tester is used as a detection instrument for the strength and quality of engineering concrete, based on the relationship between the strength and the surface hardness of the concrete, a spring-driven heavy hammer is utilized, the surface of the concrete is bounced through an elastic striking rod dowel bar, the rebound distance of the heavy hammer is measured, the rebound value is used as an index related to the strength, namely, the spring with constant kinetic energy and a steel hammer are adopted to impact the surface of the concrete, and a mathematical relationship model of the strength and the rebound value of the concrete is established.
The concrete resiliometer commonly used in the project at the present stage is mainly a mechanical resiliometer or a conventional digital resiliometer, and has the following defects: in the practical application process, need two people at least to cooperate and use, alone be responsible for controlling the concrete resiliometer and carry out a large amount of pointwise tests, and another person carries out data record, still need carry out the calculation of concrete intensity grade to test data after the examination of awaiting measuring, and consuming time and labor, and the human factor influence is great, is difficult to guarantee the accuracy of concrete intensity calculation, easily appears great potential safety hazard.
Disclosure of Invention
The purpose of the invention is as follows: in view of the above problems, the present invention aims to provide a high-precision intelligent concrete resiliometer based on NB-IoT, which utilizes a laser ranging sensor to realize high-precision displacement detection.
The technical scheme is as follows: the invention discloses a high-precision intelligent concrete resiliometer based on NB-IoT (NB-IoT), which comprises a shell, an impact component, a laser ranging unit, a control circuit unit and a circuit box, wherein the impact component is arranged in the shell, and the laser ranging unit and the control circuit unit are arranged at the rear end of the shell through the circuit box; the control circuit unit is used for collecting displacement information data measured by the laser ranging unit and then sending the displacement information data to the remote cloud server.
The control circuit unit comprises a voice recognition module, an Internet of things module and a microcontroller module, wherein the voice recognition module and the Internet of things module are connected with the microcontroller module through serial ports.
The central guide rod is arranged at the central shaft of the shell, the front end of the central guide rod is coaxially inserted into a hole at the rear end of the tapping rod through the buffering pressure spring, and the front end of the tapping rod extends out of the front end of the shell; the spring impact tension spring is sleeved on the central guide rod, the hook is hinged to the flange plate and hooks the tail end of the central rod, and the reset pressure spring is arranged at the rear end of the flange plate.
The laser ranging unit comprises a laser ranging sensor, a guide rail and a sliding block, the laser ranging sensor is arranged at the front end of the laser ranging unit, the sliding block is arranged on the guide rail and slides along the guide rail, a laser reflecting plate and an elastic sheet are arranged on the sliding block, the heavy hammer at the middle of the central guide rod rebounds to impact the elastic sheet so as to drive the sliding block to slide relatively along the guide rail, and the relative sliding distance of the sliding block on the guide rail is measured by the laser ranging sensor and is sent to the microcontroller module.
The voice recognition module is an SX-ASR-B module and is used for collecting and recognizing voice information of an operator and sending a recognition result to the microcontroller module.
The core of microcontroller module is STM32F103ZET6 chip, with voice data and measured data packing, sends the thing networking module through the serial ports to send in real time to the high in the clouds server.
The internet of things module comprises a remote BC26 module, a SIM card slot and an antenna module, and sends data to the cloud server.
Has the advantages that: compared with the prior art, the invention has the following remarkable advantages:
1. the laser distance measuring sensor is adopted, so that the displacement detection precision is improved, the problem of mechanical abrasion in the using process of a pointer type or resistance type displacement sensor is avoided, and the cycle service life of the distance measuring device of the resiliometer is prolonged;
2. the position data information of the point to be measured is collected and recorded in real time through the voice recognition module, so that the labor cost of operators is reduced, the labor intensity is reduced, and the working efficiency is improved;
3. the position information of the point to be measured and the concrete strength data are uploaded to the cloud server in real time through the Internet of things module, so that the accuracy of data recording is improved, and the problems of errors and risks caused by interference of human factors are solved.
Drawings
FIG. 1 is a schematic view of the construction of a resiliometer according to the present invention;
FIG. 2 is a schematic structural diagram of a laser ranging unit according to the present invention;
fig. 3 is a flow chart of the present invention.
Detailed Description
As shown in fig. 1, the NB-IoT-based high-precision intelligent concrete rebound apparatus according to the present embodiment includes a housing 100, a bounce component, a laser ranging unit, a control circuit unit 400, and a circuit box 500, wherein the bounce component is disposed inside the housing 100, and the laser ranging unit and the control circuit unit 400 are disposed at the rear end of the housing 100 through the circuit box 500; the control circuit unit 400 is configured to collect displacement data information measured by the laser ranging unit, and then send the displacement data information to the cloud server.
The control circuit unit 400 includes a voice recognition module, an internet of things module, and a microcontroller module, the voice recognition module and the internet of things module are connected with the microcontroller module through a serial port, as shown in fig. 3.
The impact component comprises an impact rod 201, a central guide rod 202, a buffering pressure spring 203, an impact tension spring 204, a reset pressure spring 205, a flange plate 206 and a hook 207, wherein the central guide rod 202 is arranged at the central shaft of the shell, the front end of the central guide rod 202 is coaxially inserted into a hole at the rear end of the impact rod 201 through the buffering pressure spring 203, and the front end of the impact rod 201 extends out of the front end of the resiliometer shell 100. The spring-striking tension spring 204 is sleeved on the central guide rod 202, the hook 207 is hinged to the flange 206 and hooks the tail end of the central rod 202, and the reset compression spring 205 is arranged at the rear end of the flange 206.
Before the resiliometer is bounced, the hook 207 hinged to the flange 206 hooks the central guide rod 202 to stretch the bounce tension spring 204 until the hook is stretched to the unhooked position. During measurement, the hook 207 releases the central guide rod 202 to impact the rear end of the tapping rod 201, and the tapping rod 201 impacts the surface of the object to be detected to detect the strength of the concrete. After the measurement is finished, the reset pressure spring 205 pushes the flange plate 206, so that the hook 207 hooks the tail part of the central guide rod 202 again, and the resiliometer enters a state to be measured.
As shown in fig. 2, the laser ranging unit includes a laser ranging sensor 301, a guide rail 302 and a slider 303, the laser ranging sensor 301 is disposed at the front end of the laser ranging unit, the slider 303 is disposed on the guide rail 302 and slides along the guide rail 302, a laser reflection plate 3031 and an elastic sheet 3032 are disposed on the slider 303, the slider 303 is driven to slide relatively along the guide rail 302 by rebounding and impacting the elastic sheet 3032 through the central guide rod 202, and the laser ranging sensor 301 measures the relative sliding distance of the slider 303 on the guide rail 302 and sends the distance to the microcontroller module.
The voice recognition module adopts an SX-ASR-B module; the core of the microcontroller module uses the STM32F103ZET6 chip. The internet of things module comprises a remote BC26 module, a SIM card slot and an antenna module. After this embodiment resiliometer starts, thing networking module can accomplish automatically and go into the net, the signal detection operation is connected to the cloud end server afterwards, and the data of speech recognition module and laser ranging module are sent to thing networking module after passing through microcontroller module processing, and thing networking module is with data packing and forward to the cloud end server afterwards.
When the resiliometer is used, the bouncing rod 201 is aligned to a point to be measured of a building, the surface of concrete is bounced by the bouncing rod 201, the buffering compression spring 203 is compressed, the central guide rod 202 pushes the central guide rod 202 towards the rear end under the elastic force of the buffering compression spring 203 to move, the heavy hammer in the middle of the central guide rod 202 strikes the elastic sheet 3032 to drive the sliding block 303 to slide relatively along the guide rail 302, the relative sliding distance of the sliding block 303 on the guide rail 302 is measured through the laser ranging sensor 301 and the laser reflection plate 3031, then the measured data information is sent to the microcontroller module through the serial port, the microcontroller module forwards the data to the cloud server through the internet of things module, and the data is subsequently processed and stored on the cloud server. After one measurement is finished, the resiliometer can restore to the initial state under the action of the reset compression spring 205.
If the voice function is used, an operator only needs to press a button for controlling the voice module to enable the voice module to start voice recognition, the operator speaks the resiliometer directly at the moment, the voice recognition module receives input voice information, returns the voice information to the microcontroller module to be processed, then forwards the voice information to the cloud server through the Internet of things module, and records position information and environment data information of the point to be measured.
Claims (7)
1. The high-precision intelligent concrete resiliometer based on the NB-IoT is characterized by comprising a shell (100), a bounce component, a laser ranging unit, a control circuit unit (400) and a circuit box (500), wherein the bounce component is arranged inside the shell (100), and the laser ranging unit and the control circuit unit (400) are arranged at the rear end of the shell (100) through the circuit box (500); the control circuit unit (400) is used for collecting displacement information data measured by the laser ranging unit and then sending the displacement information data to the cloud server.
2. The NB-IoT based high-precision intelligent concrete resiliometer according to claim 1, wherein the control circuit unit (400) comprises a voice recognition module, an Internet of things module and a microcontroller module, and the voice recognition module and the Internet of things module are connected with the microcontroller module through serial ports.
3. The NB-IoT (NB-IoT) -based high-precision intelligent concrete resiliometer is characterized in that the tapping assembly comprises a tapping rod (201), a central guide rod (202), a buffering pressure spring (203), a tapping tension spring (204), a resetting pressure spring (205), a flange plate (206) and a hook (207), wherein the central guide rod (202) is arranged at the central shaft of the shell, the front end of the central guide rod (202) is coaxially inserted into a rear end hole of the tapping rod (201) through the buffering pressure spring (203), and the front end of the tapping rod (201) extends out of the front end of the shell (100); the spring impact tension spring (204) is sleeved on the central guide rod (202), the hook (207) is hinged to the flange plate (206) and hooks the tail end of the central rod (202), and the reset compression spring (205) is arranged at the rear end of the flange plate (206).
4. The NB-IoT (NB-IoT) -based high-precision intelligent concrete rebound instrument as claimed in claim 1, wherein the laser ranging unit comprises a laser ranging sensor (301), a guide rail (302) and a slider (303), the laser ranging sensor (301) is arranged at the front end of the laser ranging unit, the slider (303) is arranged on the guide rail (302) and slides along the guide rail (302), a laser reflecting plate (3031) and an elastic sheet (3032) are arranged on the slider (303), the slider (303) is driven to slide relatively along the guide rail (302) by the impact of a rebound hammer in the middle of the central guide rod (202) on the elastic sheet (3032), the relative sliding distance of the slider (303) on the guide rail (302) is measured by the laser ranging sensor (301), and the relative sliding distance is sent to the microcontroller module.
5. The NB-IoT based high precision intelligent concrete rebound according to claim 2, wherein the speech recognition module is an SX-ASR-B module.
6. The NB-IoT based high precision intelligent concrete rebound according to claim 2, wherein the core of the microcontroller module is the STM32F103ZET6 chip.
7. The NB-IoT based high precision intelligent concrete resiliometer according to claim 2, wherein the IOT module comprises a remote BC26 module, a SIM card slot and an antenna module, and the IOT module sends data to a cloud server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110075381.XA CN112857970A (en) | 2021-01-20 | 2021-01-20 | High-precision intelligent concrete resiliometer based on NB-IoT |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110075381.XA CN112857970A (en) | 2021-01-20 | 2021-01-20 | High-precision intelligent concrete resiliometer based on NB-IoT |
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| Publication Number | Publication Date |
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| CN112857970A true CN112857970A (en) | 2021-05-28 |
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| CN202110075381.XA Pending CN112857970A (en) | 2021-01-20 | 2021-01-20 | High-precision intelligent concrete resiliometer based on NB-IoT |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117782786A (en) * | 2024-02-26 | 2024-03-29 | 福建省计量科学研究院（福建省眼镜质量检验站） | Improved Shore hardness machine |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200989872Y (en) * | 2006-12-29 | 2007-12-12 | 河南农业大学 | High precision electronic concrete resiliometer |
| CN203572728U (en) * | 2013-10-28 | 2014-04-30 | 杭州钢信建设工程检测有限公司 | Digital-display-type concrete resiliometer |
| CN203949834U (en) * | 2013-12-13 | 2014-11-19 | 济南朗睿检测技术有限公司 | Integrated digital display high strength concrete resiliometer |
| CN204630859U (en) * | 2015-04-28 | 2015-09-09 | 武汉市瑞坤经济发展有限责任公司 | 4.5 joules of high strength concrete resiliometers |
| CN205538916U (en) * | 2016-04-20 | 2016-08-31 | 孙雨 | Intellectual detection system workstation |
| CN110967476A (en) * | 2020-01-08 | 2020-04-07 | 辽宁省交通高等专科学校 | Digital concrete strength presumes appearance based on thing networking |
| CN111220450A (en) * | 2019-12-31 | 2020-06-02 | 云南大学 | Nondestructive detector for strength of lightweight aggregate concrete |
| CN212180517U (en) * | 2020-06-12 | 2020-12-18 | 莱赛激光科技股份有限公司 | Intelligent resiliometer |
-
2021
- 2021-01-20 CN CN202110075381.XA patent/CN112857970A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200989872Y (en) * | 2006-12-29 | 2007-12-12 | 河南农业大学 | High precision electronic concrete resiliometer |
| CN203572728U (en) * | 2013-10-28 | 2014-04-30 | 杭州钢信建设工程检测有限公司 | Digital-display-type concrete resiliometer |
| CN203949834U (en) * | 2013-12-13 | 2014-11-19 | 济南朗睿检测技术有限公司 | Integrated digital display high strength concrete resiliometer |
| CN204630859U (en) * | 2015-04-28 | 2015-09-09 | 武汉市瑞坤经济发展有限责任公司 | 4.5 joules of high strength concrete resiliometers |
| CN205538916U (en) * | 2016-04-20 | 2016-08-31 | 孙雨 | Intellectual detection system workstation |
| CN111220450A (en) * | 2019-12-31 | 2020-06-02 | 云南大学 | Nondestructive detector for strength of lightweight aggregate concrete |
| CN110967476A (en) * | 2020-01-08 | 2020-04-07 | 辽宁省交通高等专科学校 | Digital concrete strength presumes appearance based on thing networking |
| CN212180517U (en) * | 2020-06-12 | 2020-12-18 | 莱赛激光科技股份有限公司 | Intelligent resiliometer |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117782786A (en) * | 2024-02-26 | 2024-03-29 | 福建省计量科学研究院（福建省眼镜质量检验站） | Improved Shore hardness machine |
| CN117782786B (en) * | 2024-02-26 | 2024-05-14 | 福建省计量科学研究院（福建省眼镜质量检验站） | Improved Shore hardness machine |
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Application publication date: 20210528 |