Rapid detection system for tensile strength of angle steel tower

Abstract

The invention, which relates to the technical field of angle steel tower detection, discloses an angle steel tower tensile strength rapid detection system comprising a hardware detection terminal, a data processing module and an Internet of Things transmission layer. Through cooperation of an impact body in the hardware detection terminal and the three-axis MEMS angle sensor, the induction coil collects the impact speed and the rebound speed, and the control module calls a Leeb hardness value correction table to correct the hardness value during pre-non-vertical state detection according to the impact angle monitored by the three-axis MEMS angle sensor in real time. The method realizes stable impact of an impact body and correction of full-angle measurement errors, realizes automatic conversion from a hardness value to tensile strength by virtue of an exponential function model and a conversion table built in the data processing module, replaces low-efficiency operation of manual table look-up, and performs tracing fuzzy and closed-loop management of a detection position by utilizing a multi-source data fusion technology of the positioning module. Real-time transmission management of detection data is realized through the Internet of Things communication module, the wireless communication module and an MQTT protocol encryption transmission technology.

Description

Technical Field

[0001] The invention relates to the technical field of angle steel tower detection, in particular to a rapid detection system for the tensile strength of an angle steel tower. Background Art

[0002] Power towers are important infrastructure used to support the construction of power system transmission lines and communication networks. They are mainly divided into several types, such as angle steel towers, steel pipe towers, and guyed towers. They are mainly used to place operators' antennas and related communication equipment to improve signal reception and transmission efficiency and network coverage. Angle steel towers are a type of power tower. Angle steel towers are the most common type. They are made of angle steels of various specifications connected by bolts. They have the characteristics of strong structure, good stability, mature manufacturing technology, and low cost. They are suitable for plains, hills, and mountainous terrains. Angle steel towers are a product with functional use and service life. They need to be inspected regularly during use. They are exposed to wind, sun, rain, and harsh environmental conditions all year round. Repeated cycles of wind loads will cause the bolt connections to loosen, or produce axis deviations that are difficult to recover and damage to the anti-corrosion layer. These will seriously affect the normal service life of the angle steel towers. Therefore, inspection and maintenance of angle steel towers are essential.

[0003] However, the traditional detection mode still has certain defects. The traditional detection mode has strong randomness in random sampling, which affects the progress of the project. The detection workload is large and the progress is slow. It is inconvenient to detect in harsh environments and the detection cycle is long. The existing detection equipment is cumbersome to operate and has single functions. It cannot meet the needs of real-time detection and intelligent management. It lacks multi-sensor fusion detection, real-time data interaction and intelligent algorithm support, resulting in serious lag in detection efficiency, accuracy and intelligence level, which is difficult to meet the needs of real-time detection and intelligent management. Therefore, it is of great significance to develop a rapid detection system for the tensile strength of angle steel towers. Summary of the Invention

[0004] The purpose of the present invention is to make up for the shortcomings of the existing technology and provide a rapid detection system for the tensile strength of angle steel towers, which can realize rapid and accurate detection of the hardness and tensile strength of angle steel towers, solve the problems of low efficiency and poor real-time performance in traditional detection modes, and realize real-time transmission and intelligent management of detection data through the Internet of Things communication module and data management platform, solve the problems of data lag and inconvenient management, and realize full-process monitoring of detection process and detection results through mobile terminal APP, thereby improving the quality and efficiency of random inspection work, reducing the maintenance workload of operation and inspection personnel, and improving the safe operation level of distribution network.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a rapid detection system for the tensile strength of an angle steel tower, the system comprising: a hardware detection terminal, a data processing module and an Internet of Things transmission layer; The hardware detection terminal includes an impact body, a three-axis MEMS angle sensor, an induction coil, a positioning module, a display module and a control module. The data processing module is electrically connected to the control module. The impact body impacts the surface of the specimen through the elastic force of the spring. The induction coil is used to detect the impact velocity of the impact body. and rebound speed , and transmits it to the control module, the three-axis MEMS angle sensor is used to detect the measurement direction, the control module calculates the Leeb hardness value based on the Leeb hardness value calculation formula, receives the impact angle monitored by the three-axis MEMS angle sensor ,in , and according to The value is retrieved from the pre-stored Leeb hardness value correction table during non-vertical state detection, and the hardness value is corrected by a cubic polynomial interpolation algorithm. The positioning module is used to achieve accurate tracing and closed-loop management of the detection position; The data processing module has a built-in two-stage conversion model, which first obtains the initial tensile strength value through the Leeb hardness and tensile strength conversion table, and then optimizes the output result through the exponential function fitting model to convert the Leeb hardness value into the tensile strength value; The IoT transport layer uses Wireless communication module realizes real-time encrypted transmission of detection data.

[0006] Furthermore, the Leeb hardness value calculation formula in the control module is: ,in is the rebound velocity of the impact body, is the impact velocity of the impact body.

[0007] Furthermore, the exponential function fitting model in the data processing module is: ,in is the converted value of tensile strength, is the Leeb hardness value.

[0008] Furthermore, the Leeb hardness value correction table is a three-dimensional mapping table, which is based on the impact angle. , Leeb hardness range and correction factor The three-dimensional mapping relationship is constructed, and the specific process is as follows: Based on the orthogonal test method, different impact angle levels and different Leeb hardness levels were selected as independent variables, and the hardness measurement error was used as the dependent variable. An orthogonal table was designed to cover typical working condition combinations. Impact test is performed using a standard hardness block, and the impact angle is monitored in real time using a three-axis MEMS angle sensor. , record the original Leeb hardness value Compared with standard hardness value , calculation error ; Perform surface fitting on the test data based on the least squares method and establish the correction coefficient and impact angle , Leeb hardness range Functional relationship: , forming a three-dimensional mapping table, where the correction coefficient The value range of is -0.2 to 0.2, which is used to compensate for the hardness measurement deviation caused by non-vertical impact; The Leeb hardness value correction table for non-vertical state detection supports remote reception of updated data via the Internet of Things transmission layer, iteratively optimizes fitting parameters based on newly collected detection data, and improves full-angle detection accuracy.

[0009] Furthermore, the Leeb hardness and tensile strength conversion table is constructed based on the steel test data of the D-type impact device, including the corresponding tensile strength values. The construction process is: impact tests are performed on steel specimens of different strength grades, and the Leeb hardness values ​​are measured. The actual tensile strength value , establish a one-to-one mapping relationship table, and calculate the unlisted data by linear interpolation, that is, for any Value, based on two adjacent known data points and , according to the formula calculate, When , the exponential function model is enabled Compensate for material uniformity and determine parameters by fitting historical data using the least squares method 、 、 , correct the conversion deviation caused by internal defects and corrosion of steel.

[0010] Furthermore, the positioning module uses the Kalman filter algorithm to fuse the data of Beidou / GPS dual-mode satellite positioning, WiFi fingerprint positioning and base station triangulation positioning. The Beidou / GPS dual-mode satellite positioning accuracy is ≤5m, the WiFi fingerprint positioning indoor accuracy is ≤1m, and the base station triangulation positioning urban area accuracy is ≤50m. The positioning accuracy after fusion is ≤5m, and it can automatically associate the tower ledger information, which includes tower number, coordinates, and model.

[0011] Furthermore, the The wireless communication module is the EC600S-CN module, which supports 4G full network access, with a downlink rate of 10Mbps and an uplink rate of 5Mbps. It has a built-in laser-engraved antenna, which increases the signal gain by 30%. The power consumption is ≤0.5W in a wide temperature environment of -40℃ to 85℃. The test data includes hardness value, tensile strength value, angle, positioning information and timestamp, which are encrypted and transmitted through the MQTT protocol and encrypted using the AES-128 algorithm. The delay from the terminal to the cloud is ≤2 seconds, supports offline caching, can store up to 100,000 data items, and has a resume transmission function.

[0012] Furthermore, the system also includes a cloud management platform, which includes a data layer, an application layer and a display layer. The data layer is used to store and process detection data, the application layer is used to realize equipment operation status monitoring, analysis and fault alarm management, and the display layer is used to display detection data and equipment status. The application layer is based on the equipment status model and efficiency model, and has the functions of real-time monitoring of equipment operation status, operation status analysis, fault abnormality alarm management and collection management. The cloud management platform has established an angle steel tower material database, supports multi-dimensional data retrieval and trend analysis according to tower type, material and service life, and predicts the remaining life of components through trend analysis. The cloud management platform connects to the material management system to automatically generate an inspection report. The inspection report contains original data, conversion results and positioning trajectory, and supports PDF export and electronic signature.

[0013] Furthermore, the system also includes a mobile terminal APP, which is paired with the hardware detection terminal via Bluetooth 5.0 and can display the device power, communication signal strength, and sensor calibration status parameters in real time. The mobile terminal APP has a built-in three-dimensional modeling wizard. The operator scans the QR code on the tower to obtain a schematic diagram of the detection point, and completes multi-angle detection according to the prompts. The detection data is automatically associated with the point coordinates. The mobile terminal APP can receive detection reports and fault abnormality alarm information pushed by the cloud management platform, and can issue instructions to remotely control the hardware detection terminal. The remote control instructions include setting detection parameters, starting and stopping detection.

[0014] Furthermore, the control module uniformly manages and controls each module, optimizes the interrupt handler to ensure faster response speed and higher real-time performance, and optimizes the system-level code to improve system operation efficiency. The display module is a high-resolution, low-power display screen that displays hardness value, tensile strength value, measurement angle, and positioning information data in real time. The resolution of the high-resolution display screen is ≥800×480 pixels, and the power consumption of the low-power display screen in normal display state is ≤1.5W.

[0015] Compared with the existing technology, the angle steel tower tensile strength rapid detection system has the following beneficial effects: The present invention cooperates with the impact body and the three-axis MEMS angle sensor in the hardware detection terminal, and cooperates with the induction coil to collect the impact velocity and rebound velocity. The control module calls the Leeb hardness value correction table during the pre-non-vertical state detection to correct the hardness value according to the impact angle monitored in real time by the three-axis MEMS angle sensor, thereby achieving stable impact of the impact body and correction of full-angle measurement errors. Relying on the built-in exponential function model and conversion table of the data processing module, when the detection mode is switched to tensile strength measurement, the control module first calls the conversion table, and then optimizes it through the exponential function model to achieve automatic conversion from hardness value to tensile strength, replacing the inefficient operation of manual table lookup. The multi-source data fusion technology of the positioning module is used to perform retrospective fuzzy and closed-loop management of the detection position. The Internet of Things communication module uses the wireless communication module and the MQTT protocol encryption transmission technology to achieve real-time transmission management of detection data.

[0016] Other advantages, objects and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To more 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 only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0018] Figure 1 This is a structural diagram of a rapid detection system for the tensile strength of an angle steel tower; Figure 2 This is a structural diagram of a hardware detection terminal in a rapid detection system for tensile strength of an angle steel tower; Figure 3 This is a schematic diagram of the workflow of a rapid detection system for the tensile strength of angle steel towers; Figure 4 This is the conversion table between Leeuwin hardness and tensile strength; Figure 5 This is a table of correction values ​​for Leeb hardness values ​​when testing in non-vertical conditions. DETAILED DESCRIPTION

[0019] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0020] See also Figure 1This angle steel tower tensile strength rapid detection system consists of a hardware detection terminal, a data processing module, an Internet of Things transmission layer, a cloud management platform, and a mobile terminal APP. The modules work together to achieve rapid detection and intelligent management of the tensile strength of angle steel towers.

[0021] The hardware detection terminal integrates impact detection, angle sensing, positioning, display and control functions. It uses the impact body to impact the surface of the test piece, combines the induction coil to collect impact velocity data, uses the three-axis MEMS angle sensor to correct non-vertical detection errors, and the positioning module integrates multi-source data to achieve accurate tracing of the detection position.

[0022] The data processing module has a built-in two-stage conversion model (Leeb hardness-tensile strength conversion table + exponential function fitting model), which automatically completes the conversion from hardness value to tensile strength value, with a conversion accuracy of ≤±1MPa.

[0023] IoT transport layer: using The wireless communication module supports 4G full network access, has a built-in laser engraving antenna, and supports real-time encrypted transmission of detection data, disconnected network caching and continued transmission functions to ensure data integrity and security.

[0024] Cloud management platform: realizes classified storage of test data, multi-dimensional analysis (such as remaining life prediction and trend analysis), equipment status monitoring and automatic generation of test reports, and realizes the linkage between on-site testing and cloud management through mobile terminal APP.

[0025] The mobile terminal APP is paired with the hardware detection terminal via Bluetooth 5.0, and can display the device power, communication signal strength, and sensor calibration status parameters in real time. The mobile terminal APP has a built-in 3D modeling wizard. The operator scans the QR code on the tower to obtain a schematic diagram of the detection point, and completes multi-angle detection according to the prompts. The detection data is automatically associated with the point coordinates. The mobile terminal APP can receive detection reports and fault abnormality alarm information pushed by the cloud management platform, and can issue instructions to remotely control the hardware detection terminal. The remote control instructions include setting detection parameters and starting and stopping detection.

[0026] Example 1

[0027] In a certain mountainous area, a power transmission network has many angle steel towers that have been in service for over 10 years. These angle steel towers have been exposed to high humidity and strong wind loads for a long time. Some of the towers have signs of peeling anti-corrosion coatings and loose bolts. The operation and maintenance department needs to conduct random tensile strength inspections on 50 angle steel towers in the area. The traditional inspection method requires manual inspection of each point with equipment. Due to the terrain restrictions, the efficiency is low, and the data recording and analysis are delayed, making it difficult to meet the needs of real-time risk management. Therefore, this angle steel tower tensile strength rapid inspection system is adopted. Figure 1, combining mobile terminal APP with cloud management platform to realize digital management of the entire process from detection plan formulation to report generation, focusing on verifying the system's detection accuracy, data transmission stability and intelligent management capabilities under complex terrain.

[0028] The operator arrives at the inspection site with the hardware inspection terminal, see Figure 2 , long press the power button of the control module to start the device. The control module first performs a self-test on the angle sensor. The three-axis MEMS angle sensor monitors the current posture of the device in real time. If it is detected that the angle between the axis of the impact body and the horizontal plane deviates from the vertical direction by more than 5°, the display module prompts "Please adjust the device holding angle". After the operator uses the spirit level to assist in adjustment, the control module calls the built-in calibration program and uses the standard hardness block to calibrate the rebound speed of the impact body: the induction coil collects the impact speed of the impact body hitting the standard block and rebound speed , the control module is based on the formula Calculate the calibration value. If the deviation from the standard value exceeds ±3HL, the spring force parameters will be automatically adjusted until the calibration passes.

[0029] The positioning module simultaneously starts Beidou / GPS dual-mode satellite positioning, WiFi fingerprint positioning and base station triangulation positioning. In mountainous environments, the satellite signal is blocked, resulting in an initial positioning accuracy of 8m. The control module triggers the Kalman filter algorithm, integrates WiFi fingerprint positioning and base station triangulation positioning data, and ultimately outputs coordinate information with a positioning accuracy of ≤5m. The positioning module automatically links to the tower ledger in the cloud management platform to obtain the tower number, model and historical detection data of the current detection tower. The display module simultaneously presents the basic information of the tower and a schematic diagram of the detection points.

[0030] See also Figure 3 The operator scans the tower QR code according to the prompts of the mobile terminal APP to obtain the inspection plan and determines the five key points to be inspected, such as the back and tip of the angle steel. When inspecting the first point, the operator holds the hardware inspection terminal so that the impact body is vertically aligned with the angle steel surface. Press the trigger button, and the spring releases the elastic force to push the impact body to impact the surface of the specimen. The induction coil synchronously collects the impact velocity at a sampling frequency of 10kHz. and rebound speed , the control module calculates the original Leeb hardness value After the first impact, the display module shows the original The value is 1. At the same time, the angle sensor detects that the angle between the impact direction and the specimen surface is perpendicular ( ), no correction is required and it can be directly recorded as valid data.

[0031] When testing points that are difficult to impact vertically, such as the inner corners of angle steel towers, operators hold the equipment at a 30° tilt angle, and the angle sensor monitors the angle in real time. , the control module automatically calls the Leeb hardness value correction table for non-vertical state detection (see Figure 5 ) to dynamically modify the original value.

[0032] The default detection mode is set to "tensile strength measurement mode". After obtaining the corrected HL value, the control module first calls the conversion table of Leeb hardness and tensile strength (see Figure 4 ), query the initial conversion value of tensile strength corresponding to the HL value .

[0033] The control module will correct the HL value and the initial conversion value Input exponential function fitting model , calculate the optimized tensile strength conversion value , the model is trained through historical detection data, the correlation coefficient , mean relative error , relative standard deviation , which can effectively improve the conversion accuracy under complex materials.

[0034] After each point detection is completed, the control module encapsulates the hardness value, tensile strength value, impact angle, positioning coordinates and timestamp data into a JSON format data packet. The EC600S-CN wireless communication module uses the AES-128 algorithm to encrypt data packets. The encryption process is completed by a built-in security chip to ensure data transmission security.

[0035] In the weak signal environment of mountainous areas, the LTE Cat1 module automatically switches to 4G full network access mode, using the laser engraving antenna to increase the signal gain by 30%, ensuring the downlink rate ≥5Mbps and the uplink rate ≥2Mbps. If a network interruption occurs during the detection process, the control module will temporarily store the data in the built-in Flash memory and start the network disconnection cache counter. When the network is restored, the module will automatically resume the cached data in chronological order, with a transmission delay of ≤2 seconds to ensure the integrity of the cloud data.

[0036] After receiving the detection data, the data layer of the cloud management platform classifies and stores it according to dimensions such as tower number, material, and service life. The application layer monitors parameters such as the power level and communication signal strength of the hardware detection terminal in real time based on the device status model. If a terminal fails to upload data for 10 consecutive minutes, a fault alarm is automatically triggered and pushed to the operation and maintenance personnel through the mobile terminal APP.

[0037] The application layer calls the angle steel tower material database to perform trend analysis on the tensile strength data at different points on the same tower. After the analysis is completed, the system automatically connects to the material management system to generate a test report containing original data, conversion results, and positioning trajectory. It supports PDF export and electronic signature, and operation and maintenance personnel can view it in real time through the mobile terminal APP.

[0038] The mobile terminal APP is paired with the hardware detection terminal via Bluetooth 5.0 to display the device status parameters. The operator follows the APP's built-in 3D modeling wizard and scans the tower body's QR code. The APP then loads the 3D model of the tower and marks the detection points. Click the point icon to view historical detection data. During the detection process, each time a point data is collected, the APP automatically marks the detection result at the corresponding position on the 3D model to form a visual detection map.

[0039] Operation and maintenance managers can issue remote control commands through the APP, such as adjusting detection parameters, starting / stopping detection, etc. When the cloud management platform triggers a fault alarm, the APP immediately pushes the alarm information, accompanied by the fault device number and possible cause. Managers can remotely guide operators to conduct on-site inspections or dispatch backup equipment for support.

[0040] In summary, this embodiment fully verifies the full-process intelligent capability of the system in the detection scenario of angle steel towers in mountainous areas. The hardware detection terminal realizes multi-angle precise detection of complex points through the collaboration of the impact body and the three-axis angle sensor, and the hardness value correction error in the non-vertical state is ≤±2HL; the data processing module combines the conversion table and the exponential function model to ensure the accuracy of tensile strength conversion, which is more efficient than the traditional manual table lookup; the Internet of Things transmission layer can still maintain data transmission stability in a weak signal environment, and the network disconnection cache and resumption function ensures zero data loss; the cloud management platform provides a scientific basis for operation and maintenance decision-making through multi-dimensional data analysis and remaining life prediction. The system significantly improves the intelligence level and operation and maintenance efficiency of angle steel tower detection, and provides reliable protection for the safe operation of the power transmission network.

[0041] Example 2

[0042] There are more than 200 communication angle steel towers distributed along a certain city's elevated highway, mainly used for 5G base station installation. These towers have long been affected by automobile exhaust corrosion, the urban heat island effect, and high-frequency micro-vibration. Some towers have hidden dangers such as cracking of node plate welds and thinning of the main angle steel wall thickness. The telecommunications operator needs to conduct comprehensive tensile strength testing on 80 angle steel towers included in the annual inspection plan. The test data must be connected to the smart operation and maintenance platform in real time to achieve rapid warning of hidden dangers and automatic dispatch of maintenance work orders. In view of the characteristics of urban environments with multiple obstacles, strong electromagnetic interference, and scattered testing points, this angle steel tower tensile strength rapid testing system is adopted. Figure 1Combining the 3D modeling function of the mobile terminal APP with the intelligent analysis capability of the cloud management platform, the focus is on verifying the system's anti-interference ability in complex electromagnetic environments, multi-tower batch detection efficiency and data closed-loop management capabilities.

[0043] The operator arrived at the communication angle steel tower next to a certain elevated road and took out the hardware detection terminal from the portable box. Figure 2 , long press the power button of the control module to start the device. Due to the strong electromagnetic interference in the urban environment, the control module automatically turns on the anti-interference mode: the induction coil enables the differential signal acquisition circuit to filter the environmental noise with a frequency higher than 10kHz; the positioning module turns off the WiFi fingerprint positioning and only retains the Beidou / GPS dual-mode satellite positioning and base station triangulation positioning. Then, the operator places the device on the horizontal ground, the angle sensor automatically calibrates the axis of the impact body to the vertical direction, and the control module calls the standard hardness block for impact calibration. Through the formula Calculate the calibration value to ensure that the Leeb hardness measurement resolution reaches 1HL and the repeatability error is ≤±3HL.

[0044] The positioning module first receives Beidou / GPS satellite signals. Due to obstruction by the elevated bridge, the initial positioning accuracy is 15m, with a large error. The control module triggers the Kalman filter algorithm, integrates the base station triangulation positioning data, and combines it with the pre-entered urban three-dimensional map data for multi-source data fusion. After about 15 seconds, the positioning accuracy is improved to ≤5m. The positioning module automatically links to the tower ledger in the cloud management platform to obtain the tower number, model and historical inspection records of the tower. The display module simultaneously displays the tower structure schematic and recommended inspection points.

[0045] Operators follow the prompts of the mobile terminal APP to scan the QR code at the bottom of the tower and load the 3D model of the tower. Figure 3 , 12 detection points are marked in the model, including 6 vertical points and 6 inclined points. When testing the bottom vertical angle steel, the operator holds the equipment so that the impact body is perpendicular to the surface of the specimen, triggering the spring impact, and the induction coil collects the impact velocity and rebound speed , the control module calculates the original HL value, at this time the angle sensor detects , no correction is required, and it can be directly recorded as valid data.

[0046] When testing the 45° tilted node plate in the middle, the operator adjusts the holding angle of the equipment, and the angle sensor provides real-time feedback. , the control module automatically calls the non-vertical state correction table (see Figure 5 ), dynamically correct the original HL value

[0047] In view of the dense distribution of inspection points on urban towers, operators turn on the "continuous inspection mode" of the hardware inspection terminal. After completing each inspection point, the equipment automatically saves the data and prompts the direction of the next point. To avoid missed inspections or repeated inspections, the mobile terminal APP records the inspection trajectory in real time. If the operator approaches within 2 meters of the inspected point, the APP vibrates and reminds and displays "This point has been inspected". During the entire inspection process, the control module uniformly dispatches each module, optimizes the interrupt handler to ensure response speed, and the display module refreshes the inspection progress bar in real time.

[0048] After obtaining the corrected HL value, the control module automatically switches to the "tensile strength measurement mode" and first queries the conversion table between Leeb hardness and tensile strength (see Figure 4 ), get the initial conversion value Considering that steel in urban environments may suffer from corrosion, which may lead to a decrease in material uniformity, the control module calls the exponential function fitting model , for the initial conversion value Perform secondary optimization to ensure that the conversion accuracy adapts to complex material conditions.

[0049] The IoT transmission layer uses the EC600S-CN wireless communication module. In densely populated urban frequency band environments, the module automatically scans available channels and prioritizes frequency bands with less interference for data transmission. Detection data is encapsulated using the MQTT protocol and encrypted using the AES-128 algorithm to ensure that data is not stolen or tampered with during transmission.

[0050] When the network is interrupted due to the detection of the shadow area under the viaduct, the control module temporarily stores the data in the built-in Flash memory and records the network disconnection timestamp. After the operator moves to the signal coverage area, the module automatically detects the network connection status and resumes the cached data in chronological order. The transmission delay is ≤2 seconds. During this inspection, there were three brief network disconnections during the inspection process of a tower body, and a total of 27 cached data were completed, all of which were resumed within 1 minute after the network was restored.

[0051] The data layer of the cloud management platform receives detection data in real time. The application layer monitors the operating status of the hardware detection terminal based on the equipment status model and efficiency model, and pushes calibration reminders to operators through the APP.

[0052] The application layer connects to the angle steel tower material database and conducts a multi-dimensional analysis of the test data: the tensile strength distribution is statistically analyzed by tower type, material, and service life. The test results of a certain tower body show that the tensile strength value of the middle node plate is lower than 85% of the design value for three consecutive points. The platform triggers an orange warning, automatically generates a maintenance work order, and pushes it to the material management system and the operation and maintenance personnel APP. At the same time, the platform predicts the remaining life of the tower body through a trend analysis model, providing a basis for overhaul plans.

[0053] After the inspection is completed, the cloud management platform automatically generates an inspection report containing the original data, correction process, conversion results and positioning trajectory. All data in the report can be traced back to the specific inspection time, equipment number and operator. The report supports PDF export, electronic signature and API interface docking. Communication operators can directly retrieve data through the smart operation and maintenance platform to realize digital closed-loop management of the entire process of "inspection-analysis-maintenance".

[0054] The mobile terminal app has a built-in wizard for 3D modeling of urban angle steel towers. After the operator scans the QR code on the tower, the app generates AR inspection instructions based on the BIM model stored in the cloud. Virtual markers of the inspection points are superimposed on the mobile phone camera image, and the marker positions are calibrated in real time through the gyroscope sensor to ensure that the virtual points are accurately aligned with the actual components. This function allows operators to quickly locate high-altitude inspection points without climbing, improving safety and efficiency.

[0055] The APP displays the detection data curve in real time. Operation and maintenance managers can access the on-site screen through the "remote collaboration mode" to guide operators to adjust the detection angle or add detection points. When abnormal data is detected, the APP automatically captures the equipment status parameters at the moment of detection to form an "abnormal data snapshot" for subsequent traceability and analysis.

[0056] In summary, this embodiment fully demonstrates the environmental adaptability and intelligent advantages of the system in the detection scenario of urban elevated communication angle steel towers: the hardware detection terminal achieves detection accuracy ≤±2HL and positioning accuracy ≤5m in complex urban environments through anti-interference design and multi-source positioning integration; the data processing module combines the material database and corrosion correction model to ensure that the tensile strength conversion error is ≤±1MPa, and the Internet of Things transmission layer meets the real-time requirements through dynamic channel switching and network disconnection and resumption; the intelligent early warning and automatic work order generation functions of the cloud management platform shorten the response time from hidden danger discovery to processing; the system effectively solves the efficiency and accuracy problems in urban angle steel tower detection, and provides efficient technical support for the safe operation and maintenance of communication network infrastructure.

[0057] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A rapid detection system for tensile strength of angle steel tower, characterized in that: The system includes: hardware detection terminal, data processing module and Internet of Things transmission layer; The hardware detection terminal includes an impact body, a three-axis MEMS angle sensor, an induction coil, a positioning module, a display module and a control module. The data processing module is electrically connected to the control module. The impact body impacts the surface of the specimen through the elastic force of the spring. The induction coil is used to detect the impact velocity of the impact body. and rebound speed , and transmits it to the control module, the three-axis MEMS angle sensor is used to detect the measurement direction, the control module calculates the Leeb hardness value based on the Leeb hardness value calculation formula, receives the impact angle monitored by the three-axis MEMS angle sensor ,in , and according to The value is retrieved from the pre-stored Leeb hardness value correction table during non-vertical state detection, and the hardness value is corrected by a cubic polynomial interpolation algorithm. The positioning module is used to achieve accurate tracing and closed-loop management of the detection position; The data processing module has a built-in two-stage conversion model, which first obtains the initial tensile strength value through the Leeb hardness and tensile strength conversion table, and then optimizes the output result through the exponential function fitting model to convert the Leeb hardness value into the tensile strength value; The IoT transport layer uses Wireless communication module realizes real-time encrypted transmission of detection data.

2. The angle steel tower tensile strength rapid detection system according to claim 1 is characterized in that: The Leeb hardness value calculation formula in the control module is: ,in is the rebound velocity of the impact body, is the impact velocity of the impact body.

3. The angle steel tower tensile strength rapid detection system according to claim 1 is characterized in that: The exponential function fitting model in the data processing module is: ,in is the converted value of tensile strength, is the Leeb hardness value.

4. The rapid detection system for tensile strength of angle steel tower according to claim 1, characterized in that: The Leeb hardness value correction table is a three-dimensional mapping table, which is based on the impact angle. , Leeb hardness range and correction factor The three-dimensional mapping relationship is constructed, and the specific process is as follows: Based on the orthogonal test method, different impact angle levels and different Leeb hardness levels were selected as independent variables, and the hardness measurement error was used as the dependent variable. An orthogonal table was designed to cover typical working condition combinations. Impact test is performed using a standard hardness block, and the impact angle is monitored in real time using a three-axis MEMS angle sensor. , record the original Leeb hardness value Compared with standard hardness value , calculation error ; Perform surface fitting on the test data based on the least squares method and establish the correction coefficient and impact angle , Leeb hardness range Functional relationship: , forming a three-dimensional mapping table, where the correction coefficient The value range of is -0.2 to 0.2, which is used to compensate for the hardness measurement deviation caused by non-vertical impact; The Leeb hardness value correction table for non-vertical state detection supports remote reception of updated data via the Internet of Things transmission layer, and iterative optimization of fitting parameters based on newly collected detection data.

5. The angle steel tower tensile strength rapid detection system according to claim 1 is characterized in that: The Leeb hardness and tensile strength conversion table is constructed based on the steel test data of the D-type impact device, and includes the corresponding tensile strength values. The construction process is: impact tests are performed on steel specimens of different strength grades to measure the Leeb hardness range. The actual tensile strength value , establish a one-to-one mapping relationship table, and calculate the unlisted data by linear interpolation, that is, for any Value, based on two adjacent known data points and , according to the formula calculate, When , the exponential function model is enabled Compensate for material uniformity and determine parameters by fitting historical data using the least squares method 、 、 , correct the conversion deviation caused by internal defects and corrosion of steel.

6. The angle steel tower tensile strength rapid detection system according to claim 1 is characterized in that: The positioning module uses the Kalman filter algorithm to fuse the data of Beidou / GPS dual-mode satellite positioning, WiFi fingerprint positioning and base station triangulation positioning, and can automatically associate the tower body ledger information, which includes the tower number, coordinates and model.

7. The angle steel tower tensile strength rapid detection system according to claim 1 is characterized in that: described The wireless communication module supports 4G full network access and has a built-in laser engraving antenna. The detection data includes hardness value, tensile strength value, angle, positioning information and timestamp. It is encrypted and transmitted through the MQTT protocol and encrypted using the AES-128 algorithm. It supports network disconnection caching and resume transmission functions.

8. The angle steel tower tensile strength rapid detection system according to claim 1 is characterized in that: The system also includes a cloud management platform, which includes a data layer, an application layer and a display layer. The data layer is used to store and process detection data, the application layer is used to realize equipment operation status monitoring, analysis and fault alarm management, and the display layer is used to display detection data and equipment status. The application layer is based on the equipment status model and efficiency model, and has the functions of real-time monitoring of equipment operation status, operation status analysis, fault abnormality alarm management and collection management. The cloud management platform has established an angle steel tower material database, supports multi-dimensional data retrieval and trend analysis according to tower type, material and service life, and predicts the remaining life of components through trend analysis. The cloud management platform connects to the material management system to automatically generate an inspection report, and the inspection report contains original data, conversion results and positioning trajectory.

9. The angle steel tower tensile strength rapid detection system according to claim 8, characterized in that: The system also includes a mobile terminal APP, which is paired with the hardware detection terminal via Bluetooth 5.0 and can display the device power, communication signal strength, and sensor calibration status parameters in real time. The mobile terminal APP has a built-in 3D modeling wizard. The operator scans the QR code on the tower to obtain a schematic diagram of the detection point and completes multi-angle detection according to the prompts. The detection data is automatically associated with the point coordinates. The mobile terminal APP can receive detection reports and fault abnormality alarm information pushed by the cloud management platform, and can issue instructions to remotely control the hardware detection terminal.

10. The angle steel tower tensile strength rapid detection system according to claim 1, characterized in that: The control module manages and controls each module in a unified manner. The display module is a high-resolution, low-power display screen that displays hardness value, tensile strength value, measurement angle, and positioning information data in real time.

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