Concrete reinforcement corrosion degree detection device and method based on capacitive fusion multi-source data

Abstract

The invention discloses a concrete reinforcement corrosion degree detection device and method based on capacitive fusion multi-source data, the device comprises a data detection collector, a solar panel energy supplement device, a control terminal and a cloud platform host computer, the data detection collector is arranged in the inner wall of a construction site; the data detection collector comprises a detection unit and a data collection circuit unit; the detection unit comprises a copper polar plate and long-strip-shaped carbon steel; and an epoxy resin layer is arranged on the outer side of the data acquisition circuit unit. According to the device and the method, the multi-source data value related to the corrosion degree in the same space where the detection unit is located is obtained through the device, the cloud platform corrects the space capacitance value collected by each sensor in sequence, and a steel bar corrosion capacitance model under the ideal condition is combined to obtain the corrosion degree of the steel bar. And quantitative evaluation of the corrosion degree of the reinforcing steel bars in the building is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete reinforcement corrosion detection, and in particular to a concrete reinforcement corrosion degree detection device and method based on capacitive fusion of multi-source data. Background Art

[0002] Reinforced concrete is a commonly used building material with excellent compressive and tensile strength, low cost, and widespread application in various construction projects, such as bridges, tunnels, houses, and large-scale infrastructure. However, during its service life, reinforced concrete can develop cracks due to various factors, such as environmental erosion, poor design and construction quality, earthquakes, and volume expansion in harsh temperature environments. This can reduce the building's load-bearing capacity, significantly shorten its service life, and even pose hidden safety risks. Therefore, cracks are a sign of a building's weakened load-bearing capacity at an early stage. Accurately and effectively identifying cracks in a building's exterior walls and formulating appropriate remedial measures can extend the structure's service life and reduce maintenance costs.

[0003] Traditional steel corrosion detection methods, such as electrochemical method and half-cell potential method, have been widely used, but they often have limitations, such as the inability of a single detection parameter to fully reflect the corrosion situation, the detection accuracy is easily affected by environmental interference, and the sensor life is limited. Therefore, corrosion monitoring methods that integrate multiple data sources have gradually become a research hotspot. Capacitive detection technology has attracted widespread attention in concrete structure monitoring in recent years due to its sensitivity to environmental parameters such as temperature, chloride, and dielectric constant. By embedding capacitive sensors into the concrete, multi-dimensional data related to steel corrosion can be obtained. Combined with multi-source data fusion technology, a comprehensive assessment and prediction of steel corrosion degree can be achieved, thereby improving monitoring accuracy and reliability. The present invention studies the steel corrosion situation in new engineering buildings, integrates multi-source sensor data, extracts and analyzes data on multiple key factors affecting concrete durability, such as chloride, sulfate, temperature, and pH value, and combines it with a steel corrosion function model to achieve real-time monitoring of steel corrosion in buildings, which has great engineering value. Summary of the Invention

[0004] The purpose of the present invention is to provide a device and method for detecting the corrosion degree of concrete steel bars based on capacitive fusion of multi-source data. The device collects the same type of carbon steel from the construction site for processing to ensure data consistency, and buries multiple sources of corrosion-related sensors together with carbon steel and copper plates to achieve raw data correction in the local space of the sensor. Then, by collecting data values ​​from multiple sensors deployed at different locations inside the building, data integration is performed on the cloud platform, and a comprehensive analysis is performed to derive a corrected corrosion degree map of the building. The durability of the steel bars is evaluated by combining the ideal mathematical model of steel bar corrosion. Finally, the sampling data, sensor installation location and other information are displayed to the cloud platform host computer, providing detailed and reliable data for further analysis and judgment by the evaluators.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A device and method for detecting the corrosion of concrete reinforcement bars based on capacitive multi-source data fusion, comprising a data detection collector, a solar panel energy replenishment device, a control terminal, and a cloud platform host computer. The data detection collector is installed in the wall inside the construction site.

[0007] The data detection collector includes a detection unit and a data acquisition circuit unit, wherein the detection unit includes a copper plate and a long strip of carbon steel;

[0008] The carbon steel is processed from the steel bars of the building at the construction site. The front of the carbon steel is provided with a chloride ion corrosion channel surface. The copper electrode is installed on the carbon steel surface on the side of the chloride ion corrosion channel surface through insulating material.

[0009] The data acquisition circuit unit is connected to the back of the carbon steel and is provided with an epoxy resin layer on the outside. The data acquisition circuit unit includes a corrosion data acquisition sensor module, which is provided on the back of the carbon steel.

[0010] The corrosion data acquisition sensor module is connected to a capacitance sensor. The capacitance sensor collects raw data on the capacitance value within the area constructed by the copper plate. The corrosion data acquisition sensor module collects data values ​​related to the degree of corrosion within the space where the detection unit is located. The data related to the degree of corrosion includes but is not limited to temperature, pH value, and chloride ion concentration. After collecting data values, the corrosion data acquisition sensor module is connected to the external wall embedded terminal via a communication cable.

[0011] The solar panel energy replenishment device includes a solar panel assembly, a battery assembly and a battery management module. The solar panel assembly is connected to the outer wall of the construction site through a bracket, and the battery assembly and battery management;

[0012] The control terminal is set on the outer wall of the construction site. The control terminal is connected to the data acquisition circuit unit through wireless signals, and regularly sends the data collected by the data acquisition circuit unit to the cloud platform host computer. The control terminal is also connected to an embedded terminal monitoring sensor; the control terminal is connected to the battery management module through lines and is connected to the detection unit and the data acquisition circuit unit.

[0013] Preferably, the carbon steel is in a rectangular block shape, with a length of 50 mm to 60 mm, a width of 18 mm to 22 mm, and a height of 18 mm to 22 mm;

[0014] The copper plate is in the shape of a rectangular plate, with a length of 50 mm to 60 mm, a thickness of 0.8 mm to 1.2 mm, and a width of 3 mm to 7 mm. The outer surface of the copper plate is wrapped with a Nomi paper layer.

[0015] Each detection unit includes at least three carbon steels, and multiple carbon steels are placed parallel to each other; during installation, the epoxy resin layer, the carbon steel part wrapped by the epoxy resin layer, and the data acquisition circuit unit and copper electrode connected to the carbon steel part are buried together in the concrete at the construction site.

[0016] Preferably, the copper plate is connected to a copper plate wire, which is routed along the edge and then connected to a data acquisition circuit unit on the back of the carbon steel. The corrosion data acquisition sensor module is connected to multiple copper plates through the copper plate wire. The corrosion data acquisition sensor module is provided with a measurement path for controlling analog switches of corresponding copper plates, and the measurement path corresponds to a multi-channel controller.

[0017] After the control terminal is connected to the data acquisition circuit unit through wireless signals, the data acquisition circuit unit is controlled to obtain the capacitance data of different copper plates in a time-sharing manner and collect real-time temperature and chloride ion concentration information;

[0018] The surface of the data acquisition circuit unit is covered with 704 silicone and pressed into the bottom of the epoxy resin layer, leaving a power supply and communication cable interface.

[0019] Preferably, when the detection unit performs detection, the carbon steel surface facing the chloride ion erosion channel is corroded and corrosion expansion products are generated. At this time, the surface area and volume of the carbon steel are reduced, and the corrosion expansion products are aligned with the direction of the copper electrode, so that the capacitance value of the space formed by the copper electrode changes with the dielectric constant;

[0020] There are multiple data detection collectors, which are evenly arranged in the corrosion-prone parts of the buildings on the construction site. During installation, construction workers determine the potential chloride ion corrosion channels through interactive evaluation methods, and install the carbon steel with the contact surface of the concrete facing the chloride ion corrosion channel. The carbon steel is installed at an inclination angle of 30°-45° and is buried in the building together with the concrete mortar. Only the communication and power supply cables are led out and connected to the control terminal.

[0021] Preferably, the control terminal includes a low-power embedded microcontroller of model STM32F042G6U6, and the microcontroller includes multiple standard communication interfaces including a CAN bus controller;

[0022] The control terminal and the cloud platform host computer communicate using wireless Lora to realize data transmission. During transmission, the control terminal regularly schedules the serial port Lora module for wireless communication, sends environmental data and equipment status information to the serial port Lora module, and transmits it to the cloud platform host computer through the Lora network;

[0023] The cloud platform host computer decodes the data through a scheduling process method, verifies data integrity, and extracts key sensor data. It then analyzes this data in combination with corrosion-related sensor values ​​and further analyzes the final signal based on a mathematical model of steel bar corrosion to achieve intelligent prediction of building lifespan.

[0024] The cloud platform host computer is used to collect sensor data from different coordinates in the building. The cloud platform host computer uses multi-source data to perform linear data correction on the collected capacitance value based on the data returned by a single independent detection unit, combined with the relationship between environmental factors and relative dielectric constant;

[0025] After calibration, the cloud platform uses the data sent back from multiple different spaces and the mathematical model method of steel bar corrosion under ideal conditions to perform quantitative analysis of the corrosion degree. Multiple detection units form a sensor network;

[0026] The mathematical model methods for steel bar corrosion include the following:

[0027] S1. First, the residual sequence is analyzed through Kalman filtering to determine whether a single detection unit is faulty;

[0028] S2. Principal component analysis is then used to reduce the dimensionality of high-dimensional data and extract representative features;

[0029] S3. Give a qualitative evaluation of the degree of steel bar corrosion through the pre-trained decision tree model;

[0030] S4. The buried locations of sensors in the sensor network are visually displayed to the evaluators in three-dimensional form, and all data are saved and recorded for further analysis and judgment by maintenance personnel.

[0031] Preferably, the position coordinates of the detection units deployed at different locations in the building are displayed in three-dimensional form on the UI interface of the host computer monitoring software in the cloud platform host computer;

[0032] The upper computer monitoring software generates a two-dimensional image of the data sent back by each set of sensors inside the concrete building. The program corrects the capacitance value based on the corrosion-related data sent back by each set of sensors and provides a qualitative evaluation of the reinforced concrete building using the mathematical model of steel bar corrosion.

[0033] The host computer monitoring software is developed using the cross-platform application and UI development framework Qt. The host computer monitoring software is coded in C++, and the coded system includes multiple serial port bit stream transmissions;

[0034] After the host computer monitoring software obtains the qualitative evaluation data of reinforced concrete buildings, the program automatically detects the frame header and frame tail of the custom protocol to extract valid data;

[0035] The method of extracting valid data is to ensure the integrity and accuracy of data during transmission by setting the frame header and frame tail, and to eliminate bit errors caused by noise or other factors.

[0036] Preferably, the low-power embedded microcontroller uses the RT-Thread real-time operating system to schedule various tasks. The specific steps of the microcontroller scheduling process method are as follows:

[0037] S1: The control terminal mounted on the external wall is powered on, the system enters initialization, controls the external crystal oscillator circuit to start oscillating to provide a stable clock source, and checks the battery power level and timer working status.

[0038] S2, after the system initialization of the control terminal is completed, the sensor communication check process of the control terminal is entered, and the CAN communication and serial port Lora communication hardware connection checks are completed in sequence, and communication with the detection unit buried in the concrete is completed;

[0039] S3: Create a battery management scheduling task to manage power resources based on the power transmission status of the solar panels and switch the battery working state to ensure that the system operates under a stable power supply.

[0040] S4, creating a multi-source sensor data acquisition task, waking up the detection unit inside the concrete through the CAN communication interface, and the internal detection unit immediately collects data and sends back the data. After the data is sent back, the authenticity of the data is verified through the verification code;

[0041] S5: Create a Lora cloud platform communication task to complete the test data transmission and reception work of the cloud platform; perform data conversion processing on the data collected by different channels, map them into real physical quantities, and put the obtained data into the data transmission queue in sequence to ensure that the data is uploaded to the cloud platform efficiently and reliably;

[0042] S6, creates a system parameter update task. When a command is detected from the cloud platform host computer, the encoded information is decoded and processed; the decoded parameter information is verified and compared with the current system parameters. If the parameter information is valid, the system is configured and adjusted according to the new parameters, and the original parameter information is retained as a backup to ensure the normal operation of the embedded system.

[0043] Preferably, the detection method in the evaluation interaction method includes the following steps:

[0044] A1: First, the copper electrode is placed on the surface of the carbon steel channel affected by chloride ion corrosion. The carbon steel is a strip of steel bar processed on the construction site. The data acquisition circuit unit is placed on the back of the carbon steel. The copper electrode signal line is directly connected to the data acquisition circuit unit. The embedded multi-source sensor only has power supply and communication cables connected to the on-site control terminal box.

[0045] A2: Power on the control terminal, initialize the system and communications, manage solar panel power, establish a communication channel with the cloud platform host computer, ensure data can be collected from the embedded data collection circuit, and send it to the cloud platform host computer at regular intervals.

[0046] A3: The cloud platform host establishes communication connections with multiple on-site control terminals, receives collected data from the control terminals, and displays the building location coordinates of the control terminals in three dimensions. It also saves the data and displays it in a two-dimensional line graph.

[0047] A4, the assessor uses the cloud platform host computer to review the working status of the sensors in the building, selects the sensor data values ​​at each coordinate in turn, and marks the abnormal value data points;

[0048] A5: The cloud platform host computer calibrates the measured capacitance value based on corrosion-related data, analyzes and judges it against the corrosion capacitance model under ideal conditions, and provides a qualitative evaluation of the machine;

[0049] A6, assessors conduct a comprehensive analysis of the actual process indicators of the construction project, machine evaluation and outlier data points to evaluate the durability of the building's steel bars.

[0050] Preferably, the corrosion data acquisition sensor module uses an MDC04 chip as a high-precision capacitance sensor. 2 The C protocol is configured with an appropriate measurement range to collect the periodic capacitance of the plates in different channels;

[0051] The GS8552 chip is used as a low-noise signal conversion chip, which converts physical signals related to the degree of corrosion into electrical signals;

[0052] The data acquisition circuit unit also adopts an isolated voltage-stabilized dual-output power supply module, and uses a passive filter to suppress high-order harmonics of the original signal affected by noise.

[0053] Preferably, the generation of the corrosion products causes a change in the dielectric constant. The change in the dielectric constant is calculated using a method for calculating the change in capacitance with corrosion depth in a data acquisition circuit. Without considering the capacitor edge effect, the calculation method for the change in capacitance with corrosion depth is as follows;

[0054]

[0055] Where C is the acquisition capacitance, Δd is the corrosion depth, M C is the corrosion expansion rate, M C In the early stage of corrosion, 2 is usually taken, ε r is the dielectric constant of corrosion products relative to concrete.

[0056] The beneficial technical effects brought about by the present invention are:

[0057] The present invention solves the problem of unstable sampling data of traditional capacitive sensors in capacitive steel bar corrosion detection due to the influence of different steel bar profiles of buildings and concrete pouring construction technology. A capacitive detection device for steel bar corrosion in concrete that integrates multi-source data has been developed. The device collects the same carbon steel from the construction site for processing to ensure data consistency, and buries multiple sources of corrosion-related sensors together with carbon steel and copper plates to achieve raw data correction in the local space of the sensor. Then, by collecting data values ​​from multiple sensors deployed at different locations inside the building, data integration is performed on the cloud platform, and a comprehensive analysis is performed to derive a corrected corrosion degree map of the building. The durability of the steel bar is evaluated by combining the ideal steel bar corrosion mathematical model. Finally, the sampling data, sensor installation location and other information are displayed to the cloud platform host computer, providing detailed and reliable data for evaluators to further analyze and judge.

[0058] The above method realizes the quantitative detection and qualitative analysis of the corrosion degree of reinforced concrete in buildings. The collected capacitance value is corrected by using multi-source data related to the corrosion degree, and a qualitative evaluation is performed according to the ideal capacitor corrosion mathematical model. The measurement data has high consistency, is less affected by the installation environment and casting process, is easy to qualitatively detect and analyze, and has a wide range of applications.

[0059] This method is primarily used to detect the degree of steel corrosion in newly constructed concrete buildings. It obtains a quantitative value of the steel corrosion degree after environmental correction and, combined with an ideal mathematical model for steel corrosion, assesses the durability of the steel. This provides an important basis for long-term reliability analysis and lifespan prediction of buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0061] Figure 1 The system working block diagram of a concrete reinforcement corrosion detection method based on capacitive fusion of multi-source data.

[0062] Figure 2 The present invention is a schematic diagram of the main body of an embedded multi-source sensor unit for detecting the degree of corrosion of reinforced concrete.

[0063] Figure 3 The diagram is a schematic diagram of the installation of an embedded multi-source sensor unit for detecting the degree of corrosion of reinforced concrete.

[0064] Specific implementation

[0065] The present invention provides a device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion. To clarify the objectives, technical solutions, and benefits of the present invention, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention.

[0066] The present invention is described in detail below with reference to the accompanying drawings:

[0067] Example 1

[0068] A device and method for detecting the corrosion of concrete steel bars based on capacitive fusion of multi-source data include a data detection collector, a solar panel energy replenishment device, a control terminal and a cloud platform host computer. The data detection collector is set in the wall inside the construction site.

[0069] The data detection collector includes a detection unit and a data acquisition circuit unit. The detection unit includes a copper electrode 1 and a long strip of carbon steel 2.

[0070] The carbon steel 2 is processed from the steel bars of the building at the construction site. The front of the carbon steel 2 is provided with a chloride ion corrosion channel surface. The copper plate 1 is installed on the surface of the carbon steel 2 on the side of the chloride ion corrosion channel surface through insulating material.

[0071] The data acquisition circuit unit is connected to the back of the carbon steel 2 and is provided with an epoxy resin layer 3 on the outside. The data acquisition circuit unit includes a corrosion data acquisition sensor module 4, which is provided on the back of the carbon steel.

[0072] The corrosion data acquisition sensor module is connected to a capacitance sensor. The capacitance sensor collects raw data on the capacitance value within the area constructed by the copper plate. The corrosion data acquisition sensor module collects data values ​​related to the degree of corrosion within the space where the detection unit is located. The data related to the degree of corrosion includes but is not limited to temperature, pH value, and chloride ion concentration. After collecting data values, the corrosion data acquisition sensor module is connected to the external wall embedded terminal via a communication cable.

[0073] The solar panel energy replenishment device includes a solar panel assembly, a battery assembly and a battery management module. The solar panel assembly is connected to the outer wall of the construction site through a bracket, and the battery assembly and battery management;

[0074] The control terminal is set on the outer wall of the construction site. The control terminal is connected to the data acquisition circuit unit through wireless signals, and regularly sends the data collected by the data acquisition circuit unit to the cloud platform host computer. The control terminal is also connected to an embedded terminal monitoring sensor; the control terminal is connected to the battery management module through lines and is connected to the detection unit and the data acquisition circuit unit.

[0075] Example 2

[0076] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0077] The carbon steel is in the shape of a rectangular block with a length of 50㎜-60㎜, a width of 18㎜-22mm, and a height of 18㎜-22m.

[0078] The copper plate is in the shape of a rectangular plate, with a length of 50mm-60mm, a thickness of 0.8mm-1.2mm, and a width of 3mm-7mm. The outer surface of the copper plate is wrapped with a Nomi paper layer.

[0079] Each detection unit includes at least three carbon steels, and multiple carbon steels are placed parallel to each other; during installation, the epoxy resin layer, the carbon steel part wrapped by the epoxy resin layer, and the data acquisition circuit unit and copper electrode connected to the carbon steel part are buried together in the concrete at the construction site.

[0080] The copper plates are connected to copper plate wires, which are routed along the edges and connected to the data acquisition circuit unit on the back of the carbon steel. The corrosion data acquisition sensor module is connected to multiple copper plates through the copper plate wires. The corrosion data acquisition sensor module is provided with a measurement path for controlling the analog switch of the corresponding copper plate, and the measurement path corresponds to the multi-channel controller.

[0081] After the control terminal is connected to the data acquisition circuit unit through wireless signals, the data acquisition circuit unit is controlled to obtain the capacitance data of different copper plates in a time-sharing manner and collect real-time temperature and chloride ion concentration information;

[0082] The surface of the data acquisition circuit unit is covered with 704 silicone and pressed into the bottom of the epoxy resin layer, leaving a power supply and communication cable interface 5.

[0083] Example 3

[0084] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0085] When the detection unit is testing, the carbon steel surface facing the chloride ion erosion channel is corroded and corrosion expansion products are produced. At this time, the surface area and volume of the carbon steel are reduced, and the corrosion expansion products are aligned with the direction of the copper electrode, causing the capacitance value of the space formed by the copper electrode to change along with the dielectric constant;

[0086] There are multiple data detection collectors, which are evenly arranged in the corrosion-prone parts of the buildings on the construction site. During installation, construction workers determine the potential chloride ion corrosion channels through interactive evaluation methods, and install the carbon steel with the contact surface of the concrete facing the chloride ion corrosion channel. The carbon steel is installed at an inclination angle of 30°-45° and is buried in the building together with the concrete mortar. Only the communication and power supply cables are led out and connected to the control terminal.

[0087] The control terminal includes a low-power embedded microcontroller model STM32F042G6U6, and the microcontroller includes multiple standard communication interfaces including a CAN bus controller;

[0088] The control terminal and the cloud platform host computer communicate using wireless Lora to realize data transmission. During transmission, the control terminal regularly schedules the serial port Lora module for wireless communication, sends environmental data and equipment status information to the serial port Lora module, and transmits it to the cloud platform host computer through the Lora network;

[0089] The cloud platform host computer decodes the data through a scheduling process method, verifies data integrity, and extracts key sensor data. It then analyzes this data in combination with corrosion-related sensor values ​​and further analyzes the final signal based on a mathematical model of steel bar corrosion to achieve intelligent prediction of building lifespan.

[0090] The cloud platform host computer is used to collect sensor data from different coordinates in the building. The cloud platform host computer uses multi-source data to perform linear data correction on the collected capacitance value based on the data returned by a single independent detection unit, combined with the relationship between environmental factors and relative dielectric constant;

[0091] After calibration, the cloud platform uses the data sent back from multiple different spaces and the mathematical model of steel bar corrosion under ideal conditions to perform quantitative analysis of the corrosion degree. Multiple detection units form a sensor network.

[0092] The mathematical model methods for steel bar corrosion include the following:

[0093] S1. First, the residual sequence is analyzed through Kalman filtering to determine whether a single detection unit is faulty;

[0094] S2. Principal component analysis is then used to reduce the dimensionality of high-dimensional data and extract representative features;

[0095] S3. Give a qualitative evaluation of the degree of steel bar corrosion through the pre-trained decision tree model;

[0096] S4. The buried locations of sensors in the sensor network are visually displayed to the evaluators in three-dimensional form, and all data are saved and recorded for further analysis and judgment by maintenance personnel.

[0097] The present invention uses multiple pairs of long carbon steel strips and copper plates to form a sensor detection unit. The carbon steel is processed at the construction site to ensure the reliability of the corrosion situation. Multiple pairs of copper plates are evenly deployed on the erosion surface of the carbon steel. The acquisition circuit is close to the back of the detection unit to obtain multi-source data values ​​in the same space. The sensor is pre-buried in the part of the building that is susceptible to corrosion, and the carbon steel and the chloride ion corrosion channel are at a certain angle. The acquisition circuit collects multi-source raw data and sends it to the cloud platform host computer at regular intervals through the control terminal. The remote host computer integrates the raw data from different locations of the building, and realizes the correction of the corrosion capacitance value through the multi-source data values ​​related to the degree of corrosion. Finally, combined with the ideal mathematical model of steel bar corrosion, the durability evaluation of the steel bars in the building is realized, providing a reliable basis for the long-term life prediction of the building.

[0098] Example 4

[0099] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0100] The position coordinates of the detection units deployed at different locations in the building are displayed in three-dimensional form on the UI interface of the host computer monitoring software in the cloud platform host computer;

[0101] The upper computer monitoring software generates a two-dimensional image of the data sent back by each set of sensors inside the concrete building. The program corrects the capacitance value based on the corrosion-related data sent back by each set of sensors and provides a qualitative evaluation of the reinforced concrete building using the mathematical model of steel bar corrosion.

[0102] The host computer monitoring software is developed using the cross-platform application and UI development framework Qt. The host computer monitoring software is coded in C++. The coded system includes multiple serial port bit stream transmissions;

[0103] After the host computer monitoring software obtains the qualitative evaluation data of reinforced concrete buildings, the program automatically detects the frame header and frame tail of the custom protocol to extract valid data;

[0104] The method of extracting valid data is to ensure the integrity and accuracy of data during transmission by setting the frame header and frame tail, and to eliminate bit errors caused by noise or other factors.

[0105] Example 5

[0106] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0107] The low-power embedded microcontroller uses the RT-Thread real-time operating system to schedule various tasks. The specific steps of the microcontroller scheduling process are as follows:

[0108] S1: The control terminal mounted on the external wall is powered on, the system enters initialization, controls the external crystal oscillator circuit to start oscillating to provide a stable clock source, and checks the battery power level and timer working status.

[0109] S2, after the system initialization of the control terminal is completed, the sensor communication check process of the control terminal is entered, and the CAN communication and serial port Lora communication hardware connection checks are completed in sequence, and communication with the detection unit buried in the concrete is completed;

[0110] S3: Create a battery management scheduling task to manage power resources based on the power transmission status of the solar panels and switch the battery working state to ensure that the system operates under a stable power supply.

[0111] S4, creating a multi-source sensor data acquisition task, waking up the detection unit inside the concrete through the CAN communication interface, and the internal detection unit immediately collects data and sends back the data. After the data is sent back, the authenticity of the data is verified through the verification code;

[0112] S5: Create a Lora cloud platform communication task to complete the test data transmission and reception work of the cloud platform; perform data conversion processing on the data collected by different channels, map them into real physical quantities, and put the obtained data into the data transmission queue in sequence to ensure that the data is uploaded to the cloud platform efficiently and reliably;

[0113] S6, creates a system parameter update task. When a command is detected from the cloud platform host computer, the encoded information is decoded and processed; the decoded parameter information is verified and compared with the current system parameters. If the parameter information is valid, the system is configured and adjusted according to the new parameters, and the original parameter information is retained as a backup to ensure the normal operation of the embedded system.

[0114] Example 6

[0115] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0116] The detection method in the evaluation interaction method includes the following steps:

[0117] A1: First, the copper electrode is placed on the surface of the carbon steel channel affected by chloride ion corrosion. The carbon steel is a strip of steel bar processed on the construction site. The data acquisition circuit unit is placed on the back of the carbon steel. The copper electrode signal line is directly connected to the data acquisition circuit unit. The embedded multi-source sensor only has power supply and communication cables connected to the on-site control terminal box.

[0118] A2: Power on the control terminal, initialize the system and communications, manage solar panel power, establish a communication channel with the cloud platform host computer, ensure data can be collected from the embedded data collection circuit, and send it to the cloud platform host computer at regular intervals.

[0119] A3: The cloud platform host establishes communication connections with multiple on-site control terminals, receives collected data from the control terminals, and displays the building location coordinates of the control terminals in three dimensions. It also saves the data and displays it in a two-dimensional line graph.

[0120] A4, the assessor uses the cloud platform host computer to review the working status of the sensors in the building, selects the sensor data values ​​at each coordinate in turn, and marks the abnormal value data points;

[0121] A5: The cloud platform host computer calibrates the measured capacitance value based on corrosion-related data, analyzes and judges it against the corrosion capacitance model under ideal conditions, and provides a qualitative evaluation of the machine;

[0122] A6, assessors conduct a comprehensive analysis of the actual process indicators of the construction project, machine evaluation and outlier data points to evaluate the durability of the building's steel bars.

[0123] Example 7

[0124] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0125] The corrosion data acquisition sensor module uses the MDC04 chip as a high-precision capacitance sensor.2 The C protocol is configured with an appropriate measurement range to collect the periodic capacitance of the plates in different channels;

[0126] The GS8552 chip is used as a low-noise signal conversion chip, which converts physical signals related to the degree of corrosion into electrical signals;

[0127] The data acquisition circuit unit also adopts an isolated voltage-stabilized dual-output power supply module, and uses a passive filter to suppress high-order harmonics of the original signal affected by noise.

[0128] The generation of corrosion products will cause the dielectric constant to change. The change in dielectric constant is calculated by the method of calculating the change in capacitance with corrosion depth in the data acquisition circuit. Without considering the capacitor edge effect, the calculation method of the change in capacitance with corrosion depth is as follows;

[0129]

[0130] Where C is the acquisition capacitance, Δd is the corrosion depth, M C is the corrosion expansion rate, M C In the early stage of corrosion, 2 is usually taken, ε r is the dielectric constant of corrosion products relative to concrete.

[0131] Example 8

[0132] Based on the disclosure of the above embodiment, this embodiment further discloses the following:

[0133] For a coastal housing construction project in northern my country, internal concrete corrosion testing was performed using a concrete reinforcement corrosion detection device and method based on capacitive multi-source data fusion. The device consists of a detection unit made of long carbon steel strips and copper plates, a data acquisition circuit, a solar panel charging device, an embedded terminal for exterior wall control, and a cloud platform monitoring host computer.

[0134] The detection unit is made of long strips of carbon steel and copper plates and is processed at the construction site to ensure that the corrosion conditions of the steel bars in the concrete building are consistent with the detection unit.

[0135] The data acquisition circuit is used to collect various sensor data related to the degree of corrosion, such as capacitance measurement, pH value, chloride ion concentration, etc.; the solar panel energy replenishment device is used to provide a continuous power supply for the equipment, extending the service life of the external terminal; the exterior wall control embedded terminal is used to achieve power management, reliable data transmission between data acquisition circuits and communication with the host computer; the cloud platform monitoring host computer is used to collect sensor data from different coordinates in the building, verify and correct the data, and give a qualitative evaluation based on the mathematical model of steel bar corrosion, providing an intuitive one-stop maintenance platform for evaluators.

[0136] During the concrete pour, the data collection circuit and carbon steel copper plates were embedded in the concrete structure at points previously identified as susceptible to corrosion. These plates were installed at an angle, facing the chloride ion corrosion pathway. The embedded equipment's power and communication cables were connected to an external terminal box on-site. After the concrete pour was complete, a solar panel charging system was installed to ensure optimal daylight conditions. Assessors combined sensor installation locations with various sensor data and corrosion models to further assess the extent of steel corrosion within the concrete and predict the building's durability and long-term lifespan.

[0137] The measurement circuit is directly connected to the leads of multiple copper plates and selects the corresponding measurement path by controlling an analog switch multiplexer. A microcontroller controls the acquisition circuit to acquire capacitance data from different plates and current environmental data in a time-sharing manner. The cloud platform collects data from each sensor group in the building, verifies the multi-source data, and corrects the original capacitance values. Combined with a mathematical model of rebar corrosion under ideal conditions, this platform quantitatively assesses the extent of corrosion in the building. Assessors access the capacitance monitoring data through the one-stop cloud platform host computer.

[0138] This embodiment solves the problem of unstable sampling data of traditional capacitive sensors in capacitive steel bar corrosion detection due to the influence of different steel bar profiles and concrete pouring construction technology in buildings. The capacitive detection device for steel bar corrosion in concrete in this embodiment integrates multi-source data. The device collects the same carbon steel from the construction site for processing to ensure data consistency, and embeds multiple corrosion-related sensors together with carbon steel and copper plates to achieve raw data correction in the local space of the sensor. Then, by collecting data values ​​from multiple sensors deployed at different locations inside the building, the data is integrated on the cloud platform, and a comprehensive analysis is performed to derive a corrected corrosion degree map of the building. The durability of the steel bar is evaluated by combining the ideal steel bar corrosion mathematical model. Finally, the sampling data, sensor installation location and other information are displayed to the cloud platform host computer, providing detailed and reliable data for further analysis and judgment by the evaluators.

[0139] The present invention relates to the field of automatic detection technology, specifically to a device and method for detecting concrete rebar corrosion based on capacitive principles and integrating multi-source data. The device utilizes carbon steel used on-site, machined into a corresponding shape, and installed in areas susceptible to corrosion during the concrete pouring phase. Multiple sensors are deployed simultaneously to calibrate capacitance data reflecting corrosion levels. This device is primarily used to detect rebar corrosion in newly constructed concrete buildings, obtaining environmentally corrected quantitative values ​​for rebar corrosion. Combined with an ideal mathematical model for rebar corrosion, the device assesses rebar durability, providing an important basis for long-term reliability analysis and lifespan prediction.

[0140] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by technicians in this technical field within the essential scope of the present invention should also fall within the scope of protection of the present invention.

Claims

1. A device and method for detecting concrete reinforcement corrosion based on capacitive fusion of multi-source data, characterized by: It includes a data detection collector, a solar panel energy replenishment device, a control terminal and a cloud platform host computer. The data detection collector is set on the wall inside the construction site; The data detection collector includes a detection unit and a data acquisition circuit unit, wherein the detection unit includes a copper plate and a long strip of carbon steel; The carbon steel is processed from the steel bars of the building at the construction site. The front of the carbon steel is provided with a chloride ion corrosion channel surface. The copper electrode is installed on the carbon steel surface on the side of the chloride ion corrosion channel surface through insulating material. The data acquisition circuit unit is connected to the back of the carbon steel and is provided with an epoxy resin layer on the outside. The data acquisition circuit unit includes a corrosion data acquisition sensor module, which is provided on the back of the carbon steel. The corrosion data acquisition sensor module is connected to a capacitance sensor. The capacitance sensor collects raw data on the capacitance value within the area constructed by the copper plate. The corrosion data acquisition sensor module collects data values ​​related to the degree of corrosion within the space where the detection unit is located. The data related to the degree of corrosion includes but is not limited to temperature, pH value, and chloride ion concentration. After collecting data values, the corrosion data acquisition sensor module is connected to the external wall embedded terminal via a communication cable. The solar panel energy replenishment device includes a solar panel assembly, a battery assembly and a battery management module. The solar panel assembly is connected to the outer wall of the construction site through a bracket, and the battery assembly and battery management; The control terminal is set on the outer wall of the construction site. The control terminal is connected to the data acquisition circuit unit through wireless signals, and regularly sends the data collected by the data acquisition circuit unit to the cloud platform host computer. The control terminal is also connected to an embedded terminal monitoring sensor; the control terminal is connected to the battery management module through lines and is connected to the detection unit and the data acquisition circuit unit.

2. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 1, characterized in that: The carbon steel is in the shape of a rectangular block, with a length of 50mm-60mm, a width of 18mm-22mm, and a height of 18mm-22m; The copper plate is in the shape of a rectangular plate, with a length of 50 mm to 60 mm, a thickness of 0.8 mm to 1.2 mm, and a width of 3 mm to 7 mm. The outer surface of the copper plate is wrapped with a Nomi paper layer. Each detection unit includes at least three carbon steels, and multiple carbon steels are placed parallel to each other; during installation, the epoxy resin layer, the carbon steel part wrapped by the epoxy resin layer, and the data acquisition circuit unit and copper electrode connected to the carbon steel part are buried together in the concrete at the construction site.

3. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 2, characterized in that: The copper plates are connected to copper plate wires, which are routed along the edges and connected to a data acquisition circuit unit on the back of the carbon steel. A corrosion data acquisition sensor module is connected to multiple copper plates via the copper plate wires. The corrosion data acquisition sensor module is provided with a measurement path for controlling analog switches of corresponding copper plates, and the measurement path corresponds to a multi-channel controller. After the control terminal is connected to the data acquisition circuit unit through wireless signals, the data acquisition circuit unit is controlled to obtain the capacitance data of different copper plates in a time-sharing manner and collect real-time temperature and chloride ion concentration information; The surface of the data acquisition circuit unit is covered with 704 silicone and pressed into the bottom of the epoxy resin layer, leaving a power supply and communication cable interface.

4. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 1, characterized in that: When the detection unit is testing, the carbon steel surface facing the chloride ion erosion channel is corroded and corrosion expansion products are produced. At this time, the surface area and volume of the carbon steel are reduced, and the corrosion expansion products are aligned with the direction of the copper electrode, causing the capacitance value of the space formed by the copper electrode to change along with the dielectric constant; There are multiple data detection collectors, which are evenly arranged in the corrosion-prone parts of the buildings on the construction site. During installation, construction workers determine the potential chloride ion corrosion channels through interactive evaluation methods, and install the carbon steel with the contact surface of the concrete facing the chloride ion corrosion channel. The carbon steel is installed at an inclination angle of 30°-45° and is buried in the building together with the concrete mortar. Only the communication and power supply cables are led out and connected to the control terminal.

5. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 1, characterized in that: The control terminal includes a low-power embedded microcontroller model STM32F042G6U6, and the microcontroller includes multiple standard communication interfaces including a CAN bus controller; The control terminal and the cloud platform host computer communicate using wireless Lora to realize data transmission. During transmission, the control terminal regularly schedules the serial port Lora module for wireless communication, sends environmental data and equipment status information to the serial port Lora module, and transmits it to the cloud platform host computer through the Lora network; The cloud platform host computer decodes the data through a scheduling process method, verifies data integrity, and extracts key sensor data. It then analyzes this data in combination with corrosion-related sensor values ​​and further analyzes the final signal based on a mathematical model of steel bar corrosion to achieve intelligent prediction of building lifespan. The cloud platform host computer is used to collect sensor data from different coordinates in the building. The cloud platform host computer uses multi-source data to perform linear data correction on the collected capacitance value based on the data returned by a single independent detection unit, combined with the relationship between environmental factors and relative dielectric constant; After calibration, the cloud platform uses the data sent back from multiple different spaces and the mathematical model method of steel bar corrosion under ideal conditions to perform quantitative analysis of the corrosion degree. Multiple detection units form a sensor network; The mathematical model methods for steel bar corrosion include the following: S1. First, the residual sequence is analyzed through Kalman filtering to determine whether a single detection unit is faulty; S2. Principal component analysis is then used to reduce the dimensionality of high-dimensional data and extract representative features; S3. Give a qualitative evaluation of the degree of steel bar corrosion through the pre-trained decision tree model; S4. The buried locations of sensors in the sensor network are visually displayed to the evaluators in three-dimensional form, and all data are saved and recorded for further analysis and judgment by maintenance personnel.

6. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 5, characterized in that: The position coordinates of the detection units deployed at different locations in the building are displayed in three-dimensional form on the UI interface of the host computer monitoring software in the cloud platform host computer; The upper computer monitoring software generates a two-dimensional image of the data sent back by each set of sensors inside the concrete building. The program corrects the capacitance value based on the corrosion-related data sent back by each set of sensors and provides a qualitative evaluation of the reinforced concrete building using the mathematical model of steel bar corrosion. The host computer monitoring software is developed using the cross-platform application and UI development framework Qt. The host computer monitoring software is coded in C++, and the coded system includes multiple serial port bit stream transmissions; After the host computer monitoring software obtains the qualitative evaluation data of reinforced concrete buildings, the program automatically detects the frame header and frame tail of the custom protocol to extract valid data; The method of extracting valid data is to ensure the integrity and accuracy of data during transmission by setting the frame header and frame tail, and to eliminate bit errors caused by noise or other factors.

7. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 5, characterized in that: The low-power embedded microcontroller uses the RT-Thread real-time operating system to schedule various tasks. The specific steps of the microcontroller scheduling process are as follows: S1: The control terminal mounted on the external wall is powered on, the system enters initialization, controls the external crystal oscillator circuit to start oscillating to provide a stable clock source, and checks the battery power level and timer working status. S2, after the system initialization of the control terminal is completed, the sensor communication check process of the control terminal is entered, and the CAN communication and serial port Lora communication hardware connection checks are completed in sequence, and communication with the detection unit buried in the concrete is completed; S3: Create a battery management scheduling task to manage power resources based on the power transmission status of the solar panels and switch the battery working state to ensure that the system operates under a stable power supply. S4, creating a multi-source sensor data acquisition task, waking up the detection unit inside the concrete through the CAN communication interface, and the internal detection unit immediately collects data and sends back the data. After the data is sent back, the authenticity of the data is verified through the verification code; S5: Create a Lora cloud platform communication task to complete the test data transmission and reception work of the cloud platform; perform data conversion processing on the data collected by different channels, map them into real physical quantities, and put the obtained data into the data transmission queue in sequence to ensure that the data is uploaded to the cloud platform efficiently and reliably; S6, creates a system parameter update task. When a command is detected from the cloud platform host computer, the encoded information is decoded and processed; the decoded parameter information is verified and compared with the current system parameters. If the parameter information is valid, the system is configured and adjusted according to the new parameters, and the original parameter information is retained as a backup to ensure the normal operation of the embedded system.

8. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 4, characterized in that: The detection method in the evaluation interaction method includes the following steps: A1: First, the copper electrode is placed on the surface of the carbon steel channel affected by chloride ion corrosion. The carbon steel is a strip of steel bar processed on the construction site. The data acquisition circuit unit is placed on the back of the carbon steel. The copper electrode signal line is directly connected to the data acquisition circuit unit. The embedded multi-source sensor only has power supply and communication cables connected to the on-site control terminal box. A2: Power on the control terminal, initialize the system and communications, manage solar panel power, establish a communication channel with the cloud platform host computer, ensure data can be collected from the embedded data collection circuit, and send it to the cloud platform host computer at regular intervals. A3: The cloud platform host establishes communication connections with multiple on-site control terminals, receives collected data from the control terminals, and displays the building location coordinates of the control terminals in three dimensions. It also saves the data and displays it in a two-dimensional line graph. A4, the assessor uses the cloud platform host computer to review the working status of the sensors in the building, selects the sensor data values ​​at each coordinate in turn, and marks the abnormal value data points; A5: The cloud platform host computer calibrates the measured capacitance value based on corrosion-related data, analyzes and judges it against the corrosion capacitance model under ideal conditions, and provides a qualitative evaluation of the machine; A6, assessors conduct a comprehensive analysis of the actual process indicators of the construction project, machine evaluation and outlier data points to evaluate the durability of the building's steel bars.

9. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 1, characterized in that: The corrosion data acquisition sensor module uses the MDC04 chip as a high-precision capacitance sensor. 2 The C protocol is configured with an appropriate measurement range to collect the periodic capacitance of the plates in different channels; The GS8552 chip is used as a low-noise signal conversion chip, which converts physical signals related to the degree of corrosion into electrical signals; The data acquisition circuit unit also adopts an isolated voltage-stabilized dual-output power supply module, and uses a passive filter to suppress high-order harmonics of the original signal affected by noise.

10. The device and method for detecting concrete reinforcement corrosion based on capacitive multi-source data fusion according to claim 4, characterized in that: The generation of the corrosion products will cause the dielectric constant to change. The change in dielectric constant is calculated by the method of calculating the change in capacitance value with corrosion depth in the data acquisition circuit. Without considering the capacitor edge effect, the calculation method of the change in capacitance value with corrosion depth is as follows; Where C is the acquisition capacitance, Δd is the corrosion depth, M C is the corrosion expansion rate, M C In the early stage of corrosion, 2 is usually taken, ε r is the dielectric constant of corrosion products relative to concrete.

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