A large steel structure beam strain distributed intelligent monitoring system

Abstract

The utility model provides a large -scale steel structure beam strain distribution type intelligent monitoring system, include: distribution type strain sensing module, data acquisition and transmission module, data analysis and diagnosis module, intelligent early warning module and protection and installation module, wherein, distribution type strain sensing module is used for realizing the strain collection of steel structure beam, data acquisition and transmission module is used for transmitting the data of distribution type strain sensing module collection to remote server, data analysis and diagnosis module is used for carrying out analysis and diagnosis to the steel structure beam data of collection, intelligent early warning module is used for sending early warning signal according to analysis diagnosis result, protection and installation module is used for guaranteeing the stable operation of equipment under the open environment. The utility model solves the problem that traditional monitoring system wiring is complex, environmental suitability is poor, diagnosis is lagging behind etc. can be widely used in the safety monitoring of large -scale steel structure beam's construction period and operation period.

Description

Technical Field

[0001] This utility model relates to the field of large steel structure monitoring technology, and more specifically, to a distributed intelligent monitoring system for strain of large steel structure beams. Background Technology

[0002] Large steel beams are core load-bearing components in infrastructure projects, and their strain state directly reflects the structure's load-bearing capacity and health. During construction and operation, strain monitoring of steel beams is crucial for ensuring structural safety and preventing accidents. Strain monitoring technology involves installing strain sensors at key locations on the steel beam to collect strain data in real time, thereby assessing the structure's stress state and health.

[0003] Currently, traditional steel structure beam strain monitoring systems mainly employ point-based monitoring methods, requiring numerous cables to connect various sensors. The dispersed measurement points lead to complex wiring. These systems typically rely on manual data processing and analysis, lacking real-time diagnostics and intelligent early warning capabilities. Furthermore, the protection level of the monitoring equipment is insufficient; in harsh environments such as open fields, high temperatures, and humidity, the sensor failure rate is high, and the measurement accuracy is easily affected by temperature and humidity.

[0004] However, existing technologies have several shortcomings. First, complex wiring not only increases construction difficulty and cost but also makes signal transmission interruption or distortion prone to occur due to cable damage or poor contact. Second, the monitoring equipment has poor environmental adaptability; in harsh environments, the reliability and measurement accuracy of sensors are difficult to guarantee. Furthermore, the lack of intelligent analysis and early warning functions makes it impossible to detect potential structural problems in a timely manner, failing to meet the needs of dynamic monitoring during construction and long-term monitoring during operation. Therefore, there is an urgent need for a monitoring system with distributed layout, high environmental adaptability, intelligent analysis, and reliable early warning functions to improve the efficiency and safety of strain monitoring for large steel structure beams. Utility Model Content

[0005] To address the aforementioned technical problems, a distributed intelligent monitoring system for strain in large steel structure beams is provided. This invention, through the collaborative operation of a distributed strain sensing module, a data acquisition and transmission module, a data analysis and diagnosis module, an intelligent early warning module, and a protection and installation module, achieves real-time acquisition, intelligent analysis, and risk warning of strain at key sections of steel structure beams. It solves the problems of complex wiring, poor environmental adaptability, and delayed diagnosis inherent in traditional monitoring systems, thereby improving monitoring efficiency and safety.

[0006] The technical means adopted in this utility model are as follows:

[0007] A distributed intelligent monitoring system for strain of large steel structure beams, comprising:

[0008] The distributed strain sensing module consists of welded strain sensors. These welded strain sensors are welded to the key stress sections of the steel structure beam based on finite element stress analysis. Adjacent welded strain sensors are independent of each other and correspond to different stress areas, which is used to realize the strain acquisition of the steel structure beam.

[0009] The data acquisition and transmission module includes a data acquisition unit, a controller, and a 5G communication unit. The data acquisition unit is connected to the welded strain sensor via a shielded cable. The data acquisition unit communicates with the controller via an RS485 bus. The controller transmits the acquired steel structure beam data to a remote server via the 5G communication unit.

[0010] The data analysis and diagnosis module is connected to the remote server through the data acquisition and transmission module, and is used to analyze and diagnose the acquired steel structure beam data;

[0011] The intelligent early warning module is connected to the data analysis and diagnosis module and is configured with two levels of early warning thresholds to issue early warning signals based on the analysis and diagnosis results.

[0012] The protection and installation module includes a cabinet and a metal cable protection pipe. The data collector, controller and 5G communication unit are integrated in the cabinet, and the shielded cable is run through the metal cable protection pipe.

[0013] Furthermore, in the distributed strain sensing module, each welded strain sensor is connected to the data acquisition unit via a shielded cable, and there is no direct electrical connection between the welded strain sensors.

[0014] Furthermore, in the distributed strain sensing module, each welded strain sensor is distributed at intervals along the length or width of the steel structure beam, and the connection point between each welded strain sensor and the steel structure beam is located on the critical stress section of the steel structure beam.

[0015] Furthermore, the data acquisition unit is modularly designed, with each data acquisition unit supporting 4 signal inputs and the controller supporting 4 bus signal inputs. A single bus can support up to 8 data acquisition units, and each data acquisition unit can control up to 4 of the welded strain sensors.

[0016] Furthermore, the metal cable protection pipe is fixed to the non-stressed area of ​​the structural beam, laid along the length or width of the structural beam, and fixed to the structural beam by brackets at certain intervals.

[0017] Furthermore, the 5G communication unit data transmission to the host computer supports Ethernet backup.

[0018] Furthermore, the cabinet has an IP65 protection rating, and the welded strain sensor has an IP67 protection rating, a thermal output ≤0.5με / ℃, and a fatigue life ≥10. 7 Second-rate;

[0019] Furthermore, the protection and installation module also includes a temperature and humidity monitoring unit, which is installed on the inner wall of the cabinet and located at the center of the cabinet. The temperature and humidity monitoring unit uses a digital sensor SHT35 and is connected to a microcontroller STM32F103ZET6 to display the collected temperature and humidity data in real time in the serial port. The controller monitors the environment inside the cabinet in real time based on the monitoring data of the temperature and humidity monitoring unit and triggers an alarm when the temperature and humidity exceed the preset range.

[0020] Furthermore, the protection and installation module also includes a sensor anti-corrosion treatment structure for the welded joints of the welded strain sensor to be anti-corrosion treated, and the exposed part is covered with a waterproof shell.

[0021] Furthermore, the large steel structure beam strain distributed intelligent monitoring system also includes a sensor calibration module, comprising a calibration experimental device and a data processing unit. The calibration experimental device is connected to the data processing unit via a signal line, and the data processing unit is connected to the controller via a communication line. The calibration experimental device is used to perform calibration experiments on welded strain sensors under static load, and the data processing unit is used to process the calibration experimental data and calibrate the measurement accuracy of the sensors.

[0022] Compared with the prior art, the present invention has the following advantages:

[0023] 1. This utility model provides a distributed intelligent strain monitoring system for large steel structure beams. By welding high-protection-level (IP67) welded strain sensors to key stress sections of the steel structure beams, accurate strain acquisition is achieved. This distributed layout reduces wiring workload, minimizes signal transmission problems caused by cable damage, and improves system reliability and maintenance efficiency.

[0024] 2. This utility model provides a distributed intelligent monitoring system for strain of large steel structure beams, which employs a distributed data acquisition unit, a controller, and a 5G communication unit, combined with RS485 bus communication technology, to achieve efficient data transmission. The data acquisition unit and the sensor are connected via shielded cables to ensure the stability of signal transmission; the controller transmits data to a remote server via a 5G module and supports Ethernet backup, ensuring the real-time performance and reliability of data transmission, and enabling stable operation even in complex environments.

[0025] 3. The large steel structure beam strain distributed intelligent monitoring system provided by this utility model has a data analysis and diagnosis module that can automatically identify faults such as stress concentration and abnormal deformation by comparing real-time monitoring data with the fault information database, thereby improving the accuracy and efficiency of diagnosis and reducing the time and error of manual analysis.

[0026] 4. This utility model provides a distributed intelligent monitoring system for strain in large steel structure beams. Its intelligent early warning module is equipped with two levels of warning thresholds (80% threshold triggers a yellow warning, and 100% threshold triggers a red warning), supporting multiple warning methods such as audible and visual alarms, SMS, email, and APP push notifications. This multi-channel early warning mechanism can promptly notify relevant personnel, ensuring that measures can be taken in the early stages of a problem, effectively preventing accidents.

[0027] 5. This utility model provides a distributed intelligent monitoring system for strain of large steel structure beams. Its protection and installation module integrates the data acquisition unit, controller, and 5G module within an IP65-rated cabinet. The cabinet has a built-in temperature and humidity monitoring unit to ensure stable operation of the equipment in harsh environments ranging from -10℃ to 60℃. Transmission cables are run through metal conduits and fixed to non-load-bearing areas of the structural beams. Sensor solder joints are treated with anti-corrosion measures, and exposed parts are covered with a waterproof shell, further improving the system's environmental adaptability and long-term stability.

[0028] In summary, this invention not only improves the efficiency and safety of strain monitoring for large steel structure beams, but also significantly reduces maintenance costs and construction difficulty, demonstrating broad application prospects and significant economic benefits. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is the overall system block diagram of this utility model.

[0031] Figure 2 This utility model relates to a distributed sensing module.

[0032] Figure 3 This is the data acquisition module of this utility model.

[0033] Figure 4 This is the data transmission module of this utility model.

[0034] Figure 5 This utility model provides a data analysis and diagnostic module.

[0035] Figure 6 This diagram illustrates the calibration process of the sensor calibration module of this invention for a welded strain sensor under static load. Detailed Implementation

[0036] It should be noted that, where there is no conflict, the embodiments and features in the embodiments of this utility model can be combined with each other. The present utility model will now be described in detail with reference to the accompanying drawings and embodiments.

[0037] To make the objectives, technical solutions, and advantages of the embodiments of this utility model clearer, the technical solutions of the embodiments of this utility model will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this utility model, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this utility model or its application or use. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0038] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to the present invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0039] like Figure 1 , 2 As shown, this utility model provides a distributed intelligent monitoring system for strain of large steel structure beams, including:

[0040] The distributed strain sensing module consists of welded strain sensors. These welded strain sensors are welded to the critical stress sections of the steel structure beam based on finite element stress analysis. Adjacent welded strain sensors are independent of each other and correspond to different stress areas to achieve strain acquisition of the steel structure beam. In this embodiment, the parameters of each welded strain sensor include: sensitivity coefficient of 1.7, sensitive grid length of 8mm, typical resistance of 120Ω, thermal output (mounted on iron plate) ≤0.5μe / ℃, mechanical hysteresis ≤2μm / m, fatigue life ≥107, operating temperature of -10℃~+60℃, protection level of IP67, and strain pattern of half-bridge.

[0041] The data acquisition and transmission module includes a data acquisition unit, a controller, and a 5G communication unit. The data acquisition unit is connected to the welded strain sensor via a shielded cable. The data acquisition unit and the controller communicate via an RS485 bus (maximum distance 300 meters). The controller transmits the acquired steel structure beam data to a remote server via the 5G communication unit.

[0042] The data analysis and diagnosis module connects to the remote server through the data acquisition and transmission module to analyze and diagnose the acquired steel structure beam data. In this embodiment, by comparing real-time monitoring data with the fault information database, the module enables automatic identification of faults such as stress concentration and abnormal deformation, and supports the import of 2D / 3D models to intuitively display the distribution of measuring points and strain status.

[0043] The intelligent early warning module, connected to the data analysis and diagnosis module, is configured with two levels of early warning thresholds to issue early warning signals based on the analysis and diagnosis results. In this embodiment, a strain threshold is preset according to the structural beam material properties and design standards. A yellow warning is triggered when the monitored value reaches 80% of the threshold, and a red warning is triggered when it reaches 100%. On-site alarms are triggered via audible and visual devices, and early warning information is pushed remotely via SMS, email, and an app. Alarm records are automatically stored in the system log for easy traceability.

[0044] The protection and installation module includes a cabinet and a metal cable protection pipe. The data collector, controller and 5G communication unit are integrated in the cabinet, and the shielded cable is run through the metal cable protection pipe.

[0045] In a preferred embodiment of this utility model, in the distributed strain sensing module, each welded strain sensor is connected to the data acquisition unit via a shielded cable, and there is no direct electrical connection between the welded strain sensors.

[0046] In a preferred embodiment of this invention, the distributed strain sensing module features welded strain sensors spaced apart along the length or width of the steel beam, with each welded strain sensor's connection point to the steel beam located on a critical load-bearing section. In this embodiment, the operating temperature of each welded strain sensor ranges from -10℃ to 60℃, supporting "on-the-spot testing after welding."

[0047] In a preferred embodiment of this invention, the data acquisition unit is modularly designed, with each unit supporting 4 signal inputs. The controller supports 4 bus signal inputs, and a single bus can support up to 8 data acquisition units. Each data acquisition unit can control up to 4 of the welded strain sensors. In this embodiment, the controller uses the DH5971N from Donghua Testing, with the following parameters: AC220V 50Hz power supply, 8W power consumption, Ethernet communication, NTP synchronization for multiple controllers, RS485 communication between the controller and the data acquisition unit, each controller controlling 4 RS485 ports, controller dimensions of 210×150×65mm, and IP65 protection rating. The modular design of the data acquisition unit, with each unit supporting 4 signal inputs, meets the requirements for high-precision measurement.

[0048] In a preferred embodiment of this invention, the metal cable protection conduit is fixed to a non-load-bearing area of ​​the structural beam, laid along the length or width of the beam, and fixed to the beam at regular intervals by supports. In this embodiment, the metal cable protection conduit is clearly marked to prevent damage from construction collisions.

[0049] In a specific implementation, as a preferred embodiment of this utility model, the 5G communication unit data transmission to the host computer supports Ethernet backup.

[0050] In a specific implementation, as a preferred embodiment of this utility model, the protection level of the cabinet is IP65, and the protection level of the welded strain sensor is not lower than IP67.

[0051] In a preferred embodiment of this invention, the protection and installation module further includes a temperature and humidity monitoring unit. This unit uses a SHT35 digital temperature and humidity sensor connected to an STM32F103ZET6 microcontroller to display the collected temperature and humidity data in real-time via a serial port. Installed on the inner wall of the cabinet at its center, the temperature and humidity monitoring unit is connected to the controller via an internal communication line. The controller monitors the environment inside the cabinet in real-time based on the monitoring data from the unit and triggers an alarm when the temperature or humidity exceeds a preset range.

[0052] In a specific implementation, as a preferred embodiment of this utility model, the protection and installation module further includes a sensor anti-corrosion treatment structure for the weld joints of the welded strain sensor to be treated for corrosion, and the exposed part is covered with a waterproof shell.

[0053] In specific implementation, as a preferred embodiment of this utility model, such as Figure 3As shown, the large steel structure beam strain distributed intelligent monitoring system also includes a sensor calibration module, comprising a calibration experimental device and a data processing unit. The calibration experimental device is connected to the data processing unit via a signal line, and the data processing unit is connected to the controller via a communication line. The calibration experimental device is used to perform calibration experiments on welded strain sensors under static load, and the data processing unit is used to process the calibration experimental data and calibrate the sensor's measurement accuracy. In this embodiment, the calibration experimental device includes a push-pull force gauge, a fixed shaft, a handle, a slide table, upper and lower pressure plates, and a base. The push-pull force gauge is mounted on the panel of the slide table, and its lower end is equipped with an upper pressure plate. A flexible pressure sensor is placed on the lower pressure plate of the base. Different force values ​​are applied by rotating the handle, and the digital display function of the push-pull force gauge displays the pressure changes in real time.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although the utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this utility model.

Claims

1. A distributed intelligent monitoring system for strain of large steel structure beams, characterized in that, include: The distributed strain sensing module consists of welded strain sensors. These welded strain sensors are welded to the key stress sections of the steel structure beam based on finite element stress analysis. Adjacent welded strain sensors are independent of each other and correspond to different stress areas, which is used to realize the strain acquisition of the steel structure beam. The data acquisition and transmission module includes a data acquisition unit, a controller, and a 5G communication unit. The data acquisition unit is connected to the welded strain sensor via a shielded cable. The data acquisition unit communicates with the controller via an RS485 bus. The controller transmits the acquired steel structure beam data to a remote server via the 5G communication unit. The data analysis and diagnosis module is connected to the remote server through the data acquisition and transmission module, and is used to analyze and diagnose the acquired steel structure beam data; The intelligent early warning module is connected to the data analysis and diagnosis module and is configured with two levels of early warning thresholds to issue early warning signals based on the analysis and diagnosis results. The protection and installation module includes a cabinet and a metal cable protection pipe. The data collector, controller and 5G communication unit are integrated in the cabinet, and the shielded cable is run through the metal cable protection pipe.

2. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, In the distributed strain sensing module, each welded strain sensor is connected to the data acquisition unit via a shielded cable, and there is no direct electrical connection between the welded strain sensors.

3. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, In the distributed strain sensing module, each welded strain sensor is distributed at intervals along the length or width of the steel structure beam, and the connection point between each welded strain sensor and the steel structure beam is located on the critical stress section of the steel structure beam.

4. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, The data acquisition unit is modularly designed, with each data acquisition unit supporting 4 signal inputs. The controller supports 4 bus signal inputs, and a single bus can support up to 8 data acquisition units. Each data acquisition unit can control up to 4 of the welded strain sensors.

5. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, The metal cable protection pipe is fixed to the non-stressed area of ​​the structural beam, laid along the length or width of the structural beam, and fixed to the structural beam by brackets at certain intervals.

6. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, The 5G communication unit data transmission to the host computer supports Ethernet backup.

7. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, The cabinet has an IP65 protection rating, and the welded strain sensor has an IP67 protection rating.

8. The distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, The protection and installation module also includes a temperature and humidity monitoring unit, which is installed on the inner wall of the cabinet and located in the center of the cabinet. The temperature and humidity monitoring unit uses a temperature and humidity digital sensor SHT35 and is connected to a microcontroller STM32F103ZET6 to display the collected temperature and humidity data in real time in the serial port. The controller monitors the environment inside the cabinet in real time based on the monitoring data of the temperature and humidity monitoring unit and triggers an alarm when the temperature and humidity exceed the preset range.

9. A distributed intelligent monitoring system for strain of large steel structure beams according to claim 8, characterized in that, The protection and installation module also includes a sensor anti-corrosion treatment structure, which is used to treat the weld joints of the welded strain sensor for corrosion protection, and the exposed part is covered with a waterproof shell.

10. A distributed intelligent monitoring system for strain of large steel structure beams according to claim 1, characterized in that, The large steel structure beam strain distributed intelligent monitoring system also includes a sensor calibration module, comprising a calibration experimental device and a data processing unit. The calibration experimental device is connected to the data processing unit via a signal line, and the data processing unit is connected to the controller via a communication line. The calibration experimental device is used to perform calibration experiments on welded strain sensors under static load, and the data processing unit is used to process the calibration experimental data and calibrate the measurement accuracy of the sensors.

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