Intelligent monitoring system and method for basin-type support

Abstract

The invention belongs to the field of intelligent bridge support monitoring, and discloses an intelligent monitoring system and method for a pot type support, the system comprises a support body, a sensing system and a power supply, the support body comprises a common pot type rubber support; the sensing system comprises an elastomer pressure sensor, a fiber grating sensor, a voltage conversion module, a data acquisition card, a fiber data acquisition converter, a data storage and transmission device, a data analysis server, a computer and a monitoring alarm device. The power supply can be powered by a solar cell panel or a UPS (Uninterrupted Power Supply). The problems that in an existing bridge structure, manual force measurement of a common pot type rubber support is inconvenient, internal force monitoring is difficult, a sensor is not easy to place, and the measurement range is small are solved. The data monitoring structure is stable and reliable, the measurement precision is high, real-time monitoring and early warning of uneven internal force of the bridge support in multiple directions can be achieved, the device can be directly applied to the field of bridge health monitoring, and a plurality of sensors installed on a bridge are jointly connected into a monitoring system.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent bridge bearing monitoring, and in particular relates to an intelligent monitoring system and method for a basin-type bearing. Background Art

[0002] At present, the monitoring accuracy of stress conditions of most intelligent bridge bearings is low and the force measurement dimension is single, mostly focusing on vertical force measurement. However, in the intelligent monitoring of curved bridges, it is necessary to monitor the internal force in the horizontal direction of the bearing and whether the bearing is empty.

[0003] Prior art 1 (patent number: 201320468427.5), a basin-type rubber bearing with a self-monitoring function, relates to the field of intelligent bearing technology. The key points of its technical solution are a steel basin, a rubber plate tightly arranged in the steel basin, a top plate arranged above the rubber plate, a brass sealing ring arranged on the edge of the upper surface of the rubber plate, and a film-type pressure sensor placed at the center of the inner surface of the steel basin. It is used to monitor the stress of the bearing in real time and judge the health of the bearing. Its technical solution includes a steel basin, a rubber plate tightly arranged in the steel basin, and a top plate arranged above the rubber plate. The side edge of the steel basin is higher than the upper surface of the rubber plate.

[0004] Prior art 2 (patent number: 201822029817.8) is a multi-dimensional force intelligent bridge bearing, which relates to the field of intelligent bearings. The key points of its technical solution include an upper bearing plate and a lower bearing plate, and its characteristics are: the sensor is installed inside the load-bearing elastomer of the bridge bearing, and the internal interference fit is used. The sensors are evenly distributed in the load-bearing elastomer, and can dynamically detect the bearing capacities of the bridge bearing in three directions of Fx, Fy, and Fz in real time; all sensor signals are connected to the processing terminal; the processing terminal regularly collects sensor data and transmits it to the monitoring and management platform, and stores and identifies the data. When abnormal data occurs, the monitoring and management platform will issue an alarm message as soon as possible and determine the specific location, thereby realizing intelligent monitoring of the bridge.

[0005] Prior art 3 (patent number: 2021214475467.3) An intelligent bearing and a bridge quality monitoring system including the same, relates to the technical field of bridge bearings. The key points of its technical solution include an upper bearing plate, a spherical crown lining plate and a lower bearing plate. The lower bearing plate includes a slide and a base. A displacement measurement assembly is arranged between the upper bearing plate and the base, and an angle sensor is arranged on the bearing.

[0006] Prior art 4 (patent number: 202010843016.4) A bridge health monitoring bearing and monitoring system, used to solve the problem that the bridge bearing is in a hidden and harsh engineering environment, manual inspection is inconvenient, and manual regular inspection cannot achieve all-weather monitoring. At the same time, there are a large number of bridge bearings, and the manual inspection cycle is long, making it difficult to judge the safety of the bridge. The health monitoring bearing group is composed of a number of health monitoring bearings, and the health monitoring bearing is composed of functional components, optical fiber force sensors, displacement sensors and inclination sensors. The functional components are composed of a lower bearing plate, a spherical crown lining plate, an upper bearing plate, a flat skateboard, a sealing ring, a flat skateboard, an intermediate plate, a wedge ring, an upper bearing plate, an intermediate plate, a wedge ring and a lower plate. The displacement sensor and the inclination sensor are transmitted and connected to the monitoring and acquisition center through optical fiber.

[0007] The prior art has the following technical problems:

[0008] 1. The sensors used in the existing bridge bearing health monitoring methods are easily damaged during the long-term service of the bridge, and it is troublesome to replace the sensors, and the labor cost is very high.

[0009] 2. The layout of existing bridge bearing sensors is rather troublesome. Moreover, as the main load-bearing component of the bridge, the force sensors are often subject to great pressure and are easily damaged, which will have a great impact on the monitoring of the overall force of the bearing.

[0010] 3. There are also certain problems with the existing bridge bearing sensor detection parts, and the measured data is difficult to correctly describe the overall stress condition and health status of the bearing. Summary of the invention

[0011] In view of the problems existing in the prior art, the present invention provides an intelligent monitoring system and method for a pot-type support.

[0012] The present invention is implemented as follows: an intelligent monitoring system for a pot-type support, the system comprising: a support body, a sensor system and a power supply, the support body comprising an ordinary pot-type rubber support; the sensor system comprising an elastomeric pressure sensor, a fiber optic grating sensor, a voltage conversion module, a data acquisition card, a fiber optic data acquisition converter, data storage and transmission equipment, a data analysis server and a computer, and a monitoring and alarm device; the power supply can be powered by a solar panel or a UPS power supply.

[0013] The voltage conversion module is connected to the elastomeric pressure sensor, and converts the resistance change of the sensor when it is under pressure into a voltage output. The data is converted through the data acquisition card to collect the real-time pressure shown by the sensor. The optical fiber data acquisition converter is connected to the fiber grating sensor through an optical fiber jumper to collect strain data. The data of both sensors are collected in the data storage and transmission equipment, and then transmitted to the computer for analysis and processing. The stress state of the support is judged based on the analysis results, and early warning selection is made through the monitoring and alarm equipment to achieve overall health monitoring of the support.

[0014] Furthermore, the bearing body is based on the GPZ (Ⅱ) GD bearing with a bearing capacity of 1MN, and can also be applied to other types of pot-type rubber bearings. The bearing body mainly includes an upper top plate, a middle steel plate, a rubber plate, a sensor and a lower top plate.

[0015] Furthermore, the elastomeric pressure sensor is made of room temperature vulcanized silicone rubber modified with conductive particles, and is a cylinder with a size of 15 mm in height and 15 mm in diameter. The grooves on the inner surface and side of the steel basin adopt an interference design, and a 10 mm margin is left at both ends in the length direction to facilitate deformation of the sensor when under pressure; its installation position is the side wall of the support basin ring, and the sensor is tightly fitted to the internal rubber plate by opening a diagonal hole in the support basin ring, and the opening is encapsulated with epoxy resin, and the wires are connected to the data acquisition equipment.

[0016] Furthermore, the elastomeric pressure sensor includes a total of 4 vertical pressure sensors and a total of 8 horizontal pressure sensors, wherein the vertical pressure sensors are arranged in a cross shape on the inner surface of the steel basin, and the horizontal pressure sensors are arranged at a 45° angle on the outer side of the steel basin, together forming a sensor array.

[0017] Furthermore, the principle of the elastomeric pressure sensor utilizes the piezoresistive effect. When the sensor is subjected to pressure, the resistance of the sensor substrate will change. By recording the changing relationship between pressure data and resistance data and obtaining the pressure-resistance change curve, the sensor is connected to a voltage conversion module and data conversion is performed using a data acquisition card. The pressure data of the sensor can be obtained online in real time, and the stress-resistance change rate presents a linear relationship. Based on this relationship, the internal force measurement of the support in the Fx, Fy and Fz directions can be realized.

[0018] Furthermore, the elastomeric pressure sensors are respectively located at the contact points between the lower surface of the rubber plate and the inner surface of the steel basin and the contact points between the rubber dust ring and the side wall of the steel basin. Eight sensor measuring points are arranged at the steel basin, and each sensor is connected to an external voltage conversion module through a wire.

[0019] Furthermore, the fiber optic Bragg grating sensor is a sensor embedded in the interlayer of the rubber strip, fixed with epoxy resin glue, and connected between the upper and lower plates of the support by bolts. The basic monitoring principle is to convert the relative displacement and rotation angle of the support in the horizontal direction into the strain of the rubber matrix, and then detect the strain change by the embedded fiber optic Bragg grating sensor fixed thereon, and transmit the optical signal to the fiber optic data acquisition converter through the optical fiber cable. By analyzing the fiber optic Bragg grating sensor values ​​at the four positions of the support, it is determined whether the support has problems of being empty and having too large an angle.

[0020] Furthermore, the elastomeric pressure sensor and the fiber grating sensor are connected to a signal processing and transmission workstation outside the support through wires. The workstation periodically transmits the collected data to the computer terminal, and the terminal analyzes the collected data. When the data is abnormal, the location of the abnormal data can be obtained in the first time through analysis, thereby realizing intelligent monitoring of the bridge support.

[0021] Another object of the present invention is to provide an intelligent monitoring method for a pot-type support based on the intelligent monitoring system for the pot-type support, the method specifically comprising:

[0022] S1: The voltage conversion module is connected to the elastic pressure sensor, converts the resistance change of the sensor when it is under pressure into a voltage output, and performs data conversion through the data acquisition card to collect the real-time pressure shown by the sensor;

[0023] S2: The optical fiber data acquisition converter is connected to the fiber grating sensor through an optical fiber jumper to collect strain data;

[0024] S3: Data from both sensors are collected in data storage and transmission equipment, and then transmitted to a computer for analysis and processing. The stress state of the bearing is determined based on the analysis results, and early warning selection is made through monitoring and alarm equipment to achieve overall health monitoring of the bearing.

[0025] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the intelligent monitoring method for a pot support.

[0026] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0027] The present invention proposes an intelligent monitoring system for pot-type rubber bearings, which solves the problems of inconvenience in manual force measurement, difficulty in internal force monitoring, difficulty in sensor placement and small measurement range of ordinary pot-type rubber bearings in current bridge structures.

[0028] The elastomeric pressure sensor used in the present invention is made of graphene-modified room temperature vulcanized silicone rubber as a sensing matrix. As a flexible composite material piezoresistive sensor, it has the characteristics of high precision, corrosion resistance, fatigue deformation resistance, and high sensing sensitivity. The pressure sensor embedded in the prefabricated groove of the support can perform long-term real-time monitoring of the vertical stress condition of the support from multiple directions, and analyze the acquired data through the sensing system to provide early warning for possible damage to the support. The elastomeric pressure sensor is embedded in the opening of the side wall of the basin ring. When the support is subjected to the force of the upper structure, the rubber plate will exert pressure on the side wall. The body resistance of the pressure sensor that is tightly fitted to the rubber plate changes under the force. Then, by characterizing the linear relationship between the stress and resistance change in the stage, the pressure on the sensors at different measuring points can be inferred. By converting the measured pressure value, the vertical pressure of the support can be monitored.

[0029] The present invention also applies fiber grating sensors to the monitoring of support emptying and rotation angle. The main method is to embed the fiber grating sensor in the groove of the double-layer rubber strip interlayer and connect it between the upper and lower plates of the support by bolts. When the upper and lower plates of the support have relative displacement, the fiber grating displacement sensor is used to collect data to determine whether the support has emptying and rotation angle phenomena.

[0030] The present invention belongs to the field of intelligent bridge bearing monitoring, and introduces an elastomeric pressure sensor, which is arranged by opening a hole in the basin ring of the basin-type rubber bearing. The hole diameter is small, has no effect on the stress of the bearing, and can withstand larger deformation of the upper part of the bearing. The arrangement of 8 measuring points in a ring can realize the evaluation of the overall stress state of the bearing and high-precision real-time monitoring. This kind of invention is the first of its kind in the field of intelligent bridge bearing monitoring.

[0031] The present invention places the sensor in the opening of the support basin ring, and uses epoxy resin glue to seal the opening on the outside to isolate the influence of external environmental factors, which is beneficial to the long-term detection of the sensor.

[0032] Moreover, the fiber grating sensor is embedded in the rubber strip interlayer and connected between the upper and lower plates of the support through bolts. It will not affect the overall force and rotation angle of the support, but can also better monitor the support hollowing disease and whether the support rotation angle is too large. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a flow chart of an intelligent monitoring system for a basin-type support provided by an embodiment of the present invention;

[0034] Figure 2 is a schematic cross-sectional diagram of the overall arrangement of sensors provided by an embodiment of the present invention;

[0035] Figure 3 The embodiment of the present invention provides a schematic diagram of a method for opening holes in the side wall of a basin ring;

[0036] Figure 4 The embodiment of the present invention provides a schematic diagram of the layout details of the elastic pressure sensor;

[0037] Figure 5 is a top view of the arrangement of measuring points of the elastic pressure sensor provided by an embodiment of the present invention;

[0038] Figure 6 is a layout diagram of a fiber Bragg grating sensor provided by an embodiment of the present invention;

[0039] Figure 7 It is a schematic diagram of the overall layout of sensors provided in an embodiment of the present invention;

[0040] Figure 8 This is a three-dimensional layout diagram of sensors provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] like Figure 1 As shown in the figure, the data acquisition module includes an elastic body pressure sensor and a fiber Bragg grating sensor, which are installed at different positions of the support respectively, and are used to collect the pressure and strain data of the support in real time. The elastic body pressure sensor is connected to the voltage conversion module through a wire, and converts the impedance change generated when the support is subjected to force into a voltage signal output. At the same time, the fiber Bragg grating sensor transmits optical signals through optical fiber jumpers to reflect the strain changes of the support. The data of both sensors are used as basic acquisition information to provide input sources for subsequent transmission and analysis.

[0043] The data transmission module collects and stores the collected signals in a unified manner through multiple paths. The voltage signal is converted into a digital signal through the data acquisition card, and the optical fiber signal is decoded and processed through the optical fiber data acquisition converter to form usable strain data. These processed data are sent to the data storage and transmission equipment in a unified manner, and are transmitted to the subsequent analysis module in real time through wired or wireless transmission. The power supply in the module is the power supply core of the entire system, ensuring the continuity of data collection, transmission and analysis.

[0044] The data analysis module is mainly composed of a data server and a computer processing terminal. The data server receives the pressure and strain data from the transmission module and uses the built-in algorithm model to calculate and analyze the health status of the bearing. For example, the possible structural fatigue of the bearing can be analyzed through the strain change, and the uniformity of the force distribution can be determined through the pressure data. The computer processing terminal generates a health status report of the bearing based on the analysis results to ensure the intuitive presentation of the data.

[0045] The monitoring and alarm device is closely connected with the data analysis module and is the front-end alarm module of the system. According to the analysis results of the computer processing terminal, if an abnormality is detected (such as overload or strain exceeding the limit), the monitoring and alarm device will immediately trigger an audible and visual alarm and send a warning signal to the relevant maintenance personnel, prompting the need for inspection and maintenance. At the same time, the alarm device can also generate a detailed abnormality analysis report to help quickly locate the problem area and provide protection for the timely maintenance of the support and structural safety.

[0046] Through the collaborative work of the above modules, the system can realize real-time health monitoring of the support and ensure the efficient operation of the entire process of data flow from collection, transmission to analysis and alarm.

[0047] The intelligent monitoring system for a pot-type bearing provided by the present invention comprises: a bearing body, a sensor system and a power supply, wherein the bearing body comprises an ordinary pot-type rubber bearing; the sensor system comprises an elastic body pressure sensor, a fiber grating sensor, a voltage conversion module, a data acquisition card, an optical fiber data acquisition converter, a data storage and transmission device, a data analysis server and a computer, and a monitoring alarm device; the power supply can be a solar panel or a UPS power supply;

[0048] The voltage conversion module is connected to the elastomeric pressure sensor, and converts the resistance change of the sensor when it is under pressure into a voltage output. The data is converted through the data acquisition card to collect the real-time pressure shown by the sensor. The optical fiber data acquisition converter is connected to the fiber grating sensor through an optical fiber jumper to collect strain data. The data of both sensors are collected in the data storage and transmission equipment, and then transmitted to the computer for analysis and processing. The stress state of the support is judged based on the analysis results, and early warning selection is made through the monitoring and alarm equipment to achieve overall health monitoring of the support.

[0049] The support body is based on the GPZ (Ⅱ) GD support with a bearing capacity of 1MN. It can also be used for other types of pot-type rubber support. The support body mainly includes an upper top plate, an intermediate steel plate, a rubber plate, a sensor and a lower top plate. Among them, the embedding method of the elastomer pressure sensor is mainly to open a hole in the support pot ring, and the hole diameter is controlled at 10-15mm. The main slotting forms and layouts are as follows: Figure 3 , 4 As shown in Figure 5, the slots penetrate the side wall to ensure that the sensor can fit the side wall of the rubber plate. There are 8 holes, which are evenly distributed in 8 positions on the side wall of the basin ring to ensure that the force of the support in multiple positions can be monitored.

[0050] The elastomeric pressure sensor is made of room temperature vulcanized silicone rubber modified with conductive particles, and is a cylinder with a height of 15 mm and a diameter of 15 mm. The grooves on the inner surface and side of the steel basin are designed with interference fit, and a 10 mm margin is left at both ends in the length direction to facilitate deformation of the sensor when under pressure. Its installation position is the side wall of the support basin ring. By opening a diagonal hole in the support basin ring, the sensor is tightly fitted to the internal rubber plate, the opening is encapsulated with epoxy resin, and the wires are connected to the data acquisition equipment.

[0051] The elastomeric pressure sensor includes a total of 4 vertical pressure sensors and a total of 8 horizontal pressure sensors, wherein the vertical pressure sensors are arranged in a cross shape on the inner surface of the steel basin, and the horizontal pressure sensors are arranged at a 45° angle on the outer side of the steel basin, together forming a sensor array.

[0052] The principle of the elastomeric pressure sensor utilizes the piezoresistive effect. When the sensor is subjected to pressure, the resistance of the sensor substrate will change. By recording the changing relationship between pressure data and resistance data and obtaining the pressure-resistance change curve, the sensor is connected to a voltage conversion module and data conversion is performed using a data acquisition card. The pressure data of the sensor can be obtained online in real time, and the stress-resistance change rate presents a linear relationship. Based on this relationship, the internal force measurement of the support in the Fx, Fy and Fz directions can be realized.

[0053] The elastomeric pressure sensors are respectively located at the contact points between the lower surface of the rubber plate and the inner surface of the steel basin and the contact points between the rubber dust ring and the side wall of the steel basin. Eight sensor measuring points are set at the steel basin, and each sensor is connected to an external voltage conversion module through a wire.

[0054] Figure 6 A sensor system installation structure for a pot-type support is shown, with the layout of the sensor installed in the support body depicted from the side and front:

[0055] 1) Component Description:

[0056] 1. Support body: The support body is an ordinary pot-type rubber support, which is used to bear the weight of the building and transmit vertical and horizontal forces.

[0057] 2. Fiber Bragg grating sensor: installed at key positions inside the support to monitor the deformation or strain data of the support.

[0058] 3. Bolt fixing structure: used to fix the sensor and the support to ensure the stability of the system.

[0059] 4.Pressure sensor installation position: in the key stress-bearing area of ​​the support body, used to detect pressure changes.

[0060] Working principle:

[0061] When the bearing body is subjected to building load or deformation occurs:

[0062] The pressure sensor will produce impedance changes according to the force conditions of the support, which will be converted into electrical signals through the voltage conversion module, and the real-time pressure value will be collected by the data acquisition card.

[0063] The fiber grating sensor reflects the strain change of the support through the optical fiber signal, and the signal is transmitted to the optical fiber data acquisition converter for conversion to form strain data.

[0064] These sensor data are collected and stored in data storage and transmission devices for subsequent health monitoring and analysis.

[0065] Figure 7 A schematic diagram of the multi-point pressure and fiber Bragg grating sensor layout is shown, detailing the installation location of each sensor and its monitoring point:

[0066] 1) Component Description:

[0067] Pressure measuring point 1 to pressure measuring point 7: distributed at key circumferential positions of the support, used to collect pressure change data at different positions.

[0068] Fiber Bragg grating sensors are arranged at positions 1 to 4: evenly distributed in the four quadrants of the support, and are used to monitor the overall strain state of the support.

[0069] Circular structure of the support: The circular structure of the support enables the monitoring points to be evenly distributed, fully reflecting the stress state.

[0070] Working principle:

[0071] When the bearing is subjected to load in actual use, the pressure measurement points around the bearing will reflect the force distribution at each position. Through the real-time signal conversion of the pressure sensor, it is possible to detect whether the uneven pressure will cause abnormal deformation.

[0072] Fiber Bragg grating sensors on the support capture critical data that could lead to support fatigue or damage by measuring strain in different areas.

[0073] All sensor data is transmitted wirelessly or connected to data storage and transmission equipment by wire, and then analyzed and processed by computers. The built-in algorithm determines whether the support is in a healthy state; if an abnormality is found, the monitoring alarm device will sound an alarm to prompt maintenance personnel to deal with it in time.

[0074] The present invention uses a combination of pressure sensors and fiber Bragg grating sensors to achieve multi-dimensional real-time monitoring of the basin support. The pressure sensor is mainly used to monitor the static and dynamic pressure changes of the support, while the fiber Bragg grating sensor provides high-precision strain measurement. The combination of the two can form a complete health monitoring system to ensure the safety and reliability of the long-term operation of the support.

[0075] like Figure 5 , Figure 6 As shown, the fiber grating sensor is a sensor embedded in the rubber strip interlayer, fixed with epoxy resin glue, and connected between the upper and lower plates of the support by bolts. The basic monitoring principle is to convert the relative displacement and rotation angle of the support in the horizontal direction into the strain of the rubber matrix, and then detect the strain change through the embedded fiber grating sensor fixed thereon, and transmit the optical signal to the fiber optic data acquisition converter through the optical fiber cable. By analyzing the fiber grating sensor values ​​of the four directions of the support, it is determined whether the support has the problem of being empty and the rotation angle is too large.

[0076] The elastomeric pressure sensor and the fiber grating sensor are connected to a signal processing and transmission workstation outside the support through wires. The workstation periodically transmits collected data to a computer terminal, and the terminal analyzes the collected data. When the data is abnormal, the location of the abnormal data can be obtained in the first time through analysis, thereby realizing intelligent monitoring of the bridge support.

[0077] Figure 7 This is a schematic diagram of the overall layout of the sensors.

[0078] Figure 8 This is a three-dimensional layout diagram of the sensor.

[0079] An embodiment of the present invention provides an intelligent monitoring method for a basin-type support based on the intelligent monitoring system for the basin-type support, the method specifically comprising:

[0080] S1: The voltage conversion module is connected to the elastic pressure sensor, converts the resistance change of the sensor when it is under pressure into a voltage output, and performs data conversion through the data acquisition card to collect the real-time pressure shown by the sensor;

[0081] S2: The optical fiber data acquisition converter is connected to the fiber grating sensor through an optical fiber jumper to collect strain data;

[0082] S3: Data from both sensors are collected in data storage and transmission equipment, and then transmitted to a computer for analysis and processing. The stress state of the bearing is determined based on the analysis results, and early warning selection is made through monitoring and alarm equipment to achieve overall health monitoring of the bearing.

[0083] An embodiment of the present invention provides a computer device, which includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes the steps of the intelligent monitoring method for a pot-type support.

[0084] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. An intelligent monitoring system for a basin support, characterized in that: The system includes: a support body, a sensor system and a power supply. The support body includes an ordinary pot-type rubber support; the sensor system includes an elastic body pressure sensor, a fiber grating sensor, a voltage conversion module, a data acquisition card, a fiber optic data acquisition converter, a data storage and transmission device, a data analysis server and a computer, and a monitoring alarm device; the power supply can be a solar panel or a UPS power supply; The voltage conversion module is connected to the elastomeric pressure sensor, and converts the resistance change of the sensor when it is under pressure into a voltage output. The data is converted through the data acquisition card to collect the real-time pressure shown by the sensor. The optical fiber data acquisition converter is connected to the fiber grating sensor through an optical fiber jumper to collect strain data. The data of both sensors are collected in the data storage and transmission equipment, and then transmitted to the computer for analysis and processing. The stress state of the support is judged based on the analysis results, and early warning selection is made through the monitoring and alarm equipment to achieve overall health monitoring of the support.

2. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The support body is based on the GPZ (Ⅱ) GD support with a bearing capacity of 1MN, and can also be applied to other types of pot-type rubber bearings. The support body mainly includes an upper top plate, a middle steel plate, a rubber plate, a sensor and a lower top plate.

3. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The elastomeric pressure sensor is made of room temperature vulcanized silicone rubber modified with conductive particles, and is a cylinder with a height of 15 mm and a diameter of 15 mm. The grooves on the inner surface and side of the steel basin are designed with interference fit, and a 10 mm margin is left at both ends in the length direction to facilitate deformation of the sensor when under pressure. Its installation position is the side wall of the support basin ring. By opening a diagonal hole in the support basin ring, the sensor is tightly fitted to the internal rubber plate, the opening is encapsulated with epoxy resin, and the wires are connected to the data acquisition equipment.

4. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The elastomeric pressure sensor includes a total of 4 vertical pressure sensors and a total of 8 horizontal pressure sensors, wherein the vertical pressure sensors are arranged in a cross shape on the inner surface of the steel basin, and the horizontal pressure sensors are arranged at a 45° angle on the outer side of the steel basin, together forming a sensor array.

5. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The principle of the elastomeric pressure sensor utilizes the piezoresistive effect. When the sensor is subjected to pressure, the resistance of the sensor substrate will change. By recording the changing relationship between pressure data and resistance data and obtaining the pressure-resistance change curve, the sensor is connected to a voltage conversion module and data conversion is performed using a data acquisition card. The pressure data of the sensor can be obtained online in real time, and the stress-resistance change rate presents a linear relationship. Based on this relationship, the internal force measurement of the support in the Fx, Fy and Fz directions can be realized.

6. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The elastomeric pressure sensors are respectively located at the contact points between the lower surface of the rubber plate and the inner surface of the steel basin and the contact points between the rubber dust ring and the side wall of the steel basin. Eight sensor measuring points are set at the steel basin, and each sensor is connected to an external voltage conversion module through a wire.

7. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The fiber grating sensor is embedded in the rubber strip interlayer, fixed with epoxy resin glue, and connected between the upper and lower plates of the support by bolts. The basic monitoring principle is to convert the relative displacement and rotation angle of the support in the horizontal direction into the strain of the rubber matrix, and then detect the strain change through the embedded fiber grating sensor fixed thereon, and transmit the optical signal to the fiber optic data acquisition converter through the optical fiber cable. By analyzing the fiber grating sensor values ​​of the four directions of the support, it is judged whether there is a problem of emptying and excessive rotation of the support.

8. The intelligent monitoring system for a pot-type support according to claim 1, characterized in that: The elastomeric pressure sensor and the fiber grating sensor are connected to the signal processing and transmission workstation outside the support through wires. The workstation regularly transmits the collected data to the computer terminal, and the terminal analyzes the collected data. When the data is abnormal, the location of the abnormal data can be obtained in the first time through analysis, thereby realizing intelligent monitoring of the bridge support.

9. An intelligent monitoring method for a pot-type support based on the intelligent monitoring system for a pot-type support according to claims 1-8, characterized in that: The method specifically includes: S1: The voltage conversion module is connected to the elastic pressure sensor, converts the resistance change of the sensor when it is under pressure into a voltage output, and performs data conversion through the data acquisition card to collect the real-time pressure shown by the sensor; S2: The optical fiber data acquisition converter is connected to the fiber grating sensor through an optical fiber jumper to collect strain data; S3: Data from both sensors are collected in data storage and transmission equipment, and then transmitted to a computer for analysis and processing. The stress state of the bearing is determined based on the analysis results, and early warning selection is made through monitoring and alarm equipment to achieve overall health monitoring of the bearing.

10. A computer device, characterized in that: The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the intelligent monitoring method for a pot-type support as claimed in any one of claims 1-8.

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